how to develop the research question

How to Write Compelling Research Questions

Are you ready to take your research to the next level? Crafting a powerful research question is the key to unlocking the full potential of your academic journey. It's like having a trusty compass that guides you through the vast wilderness of knowledge, ensuring you stay on track and reach your destination.

In this article, we'll walk you through the essential steps to develop a research question that packs a punch. From identifying your research topic to refining and evaluating your question, we've got you covered. Along the way, we'll explore what makes a good research question and share some helpful research questions examples to inspire you. So, whether you're a student, writer, or just curious about how to form a research question, join us as we embark on this exciting adventure of developing research questions that will elevate your research to new heights!

Identify Your Research Topic

Alright, let's dive into the exciting world of identifying your research topic! Picture yourself as an adventurer, ready to explore uncharted territories of knowledge. But before you embark on this thrilling journey, you need to choose a destination that sparks your curiosity and aligns with your goals.

Brainstorming Your Interests

• Start by brainstorming a list of subjects that pique your interest. Consider areas that haven't been thoroughly explored or present challenges within your field.
• Ask yourself questions like: What fascinates me? What problems do I want to solve? What knowledge gaps exist in my area of study?
• Engage in discussions with peers, professors, or experts to gain fresh perspectives and refine your ideas.

Conducting Preliminary Research

Once you have a general topic in mind, it's time to do some background reading to narrow down your focus:

As you explore these resources, consider the following:

• Look for keywords and concepts that social scientists use to discuss your topic
• Identify specific cases or examples that can make your ideas more concrete
• Determine what aspects of the topic you want to focus on and find an angle to contribute through your project

Evaluating Your Topic

Before finalizing your research topic, ensure it meets the following criteria:

• Aligns with the assignment requirements and guidelines
• Has a substantial body of accessible and manageable related research
• Is interesting, relevant, and worthy of the time invested
• Allows for finding sufficient information in books or scholarly journals
• Fits your future professional path and enhances your skills

Remember, your research topic is not set in stone. It may evolve as you delve deeper into the research process. Embrace the opportunity to discover new insights and modify your topic accordingly.

Now that you've identified a captivating research topic, you're ready to embark on the next stage of your research adventure: conducting preliminary research to further refine your focus and develop a powerful research question.

Conduct Preliminary Research

Now that you've identified your research topic, it's time to dive deeper and conduct some preliminary research. This crucial step will help you narrow down your focus, identify key concepts, and lay the groundwork for developing a powerful research question.

• Use search engines like Google Scholar or your library's online catalog to find relevant articles, books, and other resources related to your topic.
• Explore Wikipedia to gain a broad understanding of your topic and discover potential subtopics or related areas of interest.
• As you read through your initial search results, take note of frequently used terms, phrases, and concepts related to your topic.
• Create a list of these key terms to help guide your further research and refine your focus.
• Assess the quantity and quality of the resources you've found so far.
• Determine if there is sufficient information available to support your research or if you need to adjust your topic's scope.
• Diversify your research by exploring various types of sources, such as:
• As you review the literature, look for areas where there is a lack of information or where scholars disagree.
• These gaps and debates can help you identify potential research questions and contribute to the existing body of knowledge.
• Based on your preliminary research, consider narrowing down your topic to a more specific focus.
• A well-defined and focused topic will make it easier to develop a clear and concise research question.

Remember, conducting preliminary research is an iterative process. As you learn more about your topic, you may need to adjust your focus, search for additional sources, or explore new angles. Embrace this process of discovery and let your curiosity guide you towards a compelling research question.

Define Your Research Problem

Alright, now that you've conducted some preliminary research and have a better understanding of your topic, it's time to define your research problem. This is where the real fun begins!

• Start by asking "how" and "why" questions about your general topic.
• For example, instead of asking, "Does social media affect mental health?" try, "How does social media impact the mental health of teenagers?"
• These types of questions encourage deeper exploration and analysis.
• Narrow down your research problem to a particular aspect of the broader topic.
• Consider focusing on a specific place, time, or group of people.
• Specify the aspects you will address and those you will not.
• Your research problem should be complex enough to require research and analysis, not just a simple yes/no answer.
• It should also be significant to you and potentially to others, addressing the "so what" factor.

Crafting the Research Question

Alright, now that you've defined your research problem, it's time to craft a powerful research question that will guide your study. A well-formulated research question should be clear, focused, and complex, avoiding simple yes/no answers and requiring research and analysis.

Characteristics of a Strong Research Question

A good research question exhibits the following characteristics:

• Focused on a single problem or issue
• Answerable using primary and/or secondary sources
• Feasible to answer within the timeframe and practical constraints
• Specific enough to answer thoroughly
• Complex enough to develop the answer over the space of a paper or thesis
• Relevant to the field of study and/or society

The PICO(T) Framework

When structuring your research question, consider using the PICO(T) framework:

Avoiding Common Mistakes

To ensure your research question is strong, avoid these common mistakes:

• Ambiguity: Use clear and specific language to avoid confusion
• Assumption: Avoid making assumptions or using loaded language
• Scope: Keep the scope of your question manageable and relevant

Formulating Your Question

When crafting your research question, consider the following formulations:

• Describing and exploring: "What are the characteristics of...?"
• Explaining and testing: "What is the relationship between...?"
• Evaluating and acting: "How effective is...?"

Remember, developing a research question is an iterative process that involves continuously updating your knowledge on the topic and refining your ideas. As you progress through your research, you may need to adjust your question to better align with your findings and insights.

Examples of Research Questions

• Descriptive: "What are the main challenges faced by small businesses during a pandemic?"
• Comparative: "How does the effectiveness of online learning compare to traditional classroom learning?"
• Correlational: "Is there a relationship between social media use and anxiety levels in teenagers?"
• Exploratory: "What factors contribute to the success of remote work arrangements?"
• Explanatory: "How does regular exercise impact cognitive function in older adults?"
• Evaluation: "To what extent do diversity and inclusion initiatives improve employee satisfaction and retention?"

By crafting a strong research question that is clear, focused, and complex, you'll set the foundation for a successful research project that contributes to your field of study and provides valuable insights.

Refine and Evaluate Your Question

Congratulations on crafting a powerful research question! Now, it's time to refine and evaluate your question to ensure it's the best it can be. Let's dive in and make your research question shine!

Determining Relationships and Selecting Variables

• Identify how variables are related to one another and how these relationships may contribute to your research problem.
• Summarize how you plan to consider and use these variables and how they might influence the study results.

Asking Critical Open-Ended Questions

Narrow down your research question by asking the following:

• Who is involved in your research?
• What specific aspects are you investigating?
• When and where will your research take place?
• How will you conduct your study?
• Why is this research important?

Apply these criteria to make your question more generative, relevant, original, and less obvious.

Seeking Feedback and Revising

Remember, receiving feedback and revising is a valuable step in creating impactful and precise research.

Evaluating Interestingness and Feasibility

Consider the following factors when evaluating your research question:

• Is the answer in doubt?
• Does it fill a gap in the research literature?
• Does it have important practical implications?
• Do you have enough time and money?
• Do you possess the necessary technical knowledge and skills?
• Do you have access to special equipment and research participants?

Striving for Simplicity and Precision

• Make your research question as specific and concise as possible.
• Seek input from experts, mentors, and colleagues to refine your question further.
• Consider how your research question influences factors such as methodology, sample size, data collection, and analysis.

By refining and evaluating your research question, you'll set the stage for a successful research project that contributes valuable insights to your field of study. Remember, a well-crafted research question is central to a well-written paper, sparking interest and leading to new or rethought perspectives.

Developing a powerful research question is the cornerstone of any successful research project. By identifying your research topic, conducting preliminary research, defining your research problem, and crafting a focused question, you'll set the foundation for a meaningful and impactful study. Remember to refine and evaluate your question, seeking feedback from mentors and peers to ensure its relevance and feasibility.

As you embark on your research journey, let your curiosity be your guide. Embrace the process of discovery, and don't be afraid to refine your question as you uncover new insights. By crafting a research question that is clear, focused, and complex, you'll contribute valuable knowledge to your field and make a lasting impact on the world of research. So go forth, intrepid researcher, and let your powerful research question be the beacon that illuminates your path to success!

What are the essential steps to formulate a research question?

To formulate a research question, follow these steps:

• Choose a general subject area or consider the one that has been assigned to you.
• Narrow down the topic to a more specific aspect of the general subject.
• Brainstorm various questions that could be asked about this narrower topic.
• Select the question that you find most intriguing or compelling.

How can I create a strong research question?

To develop a strong research question, you should:

• Conduct initial research on your topic to understand the current discourse.
• Identify a problem or a knowledge gap within your field.
• Ensure your question aims to contribute to ongoing debates within your field or society.

What is the five-step process for writing a research question?

When crafting a research question, you should:

• Select a broad topic of interest.
• Engage in preliminary research to gain background information.
• Keep in mind the audience for whom the research is intended.
• Develop a list of possible questions related to the topic.
• Review and refine the list of questions.
• Formulate the final research question.

What are the five key elements of an effective research question?

An effective research question typically includes the following five components:

• Population: the group you are studying.
• Intervention: the variable or treatment you are considering.
• Comparator: the standard or control you are comparing the intervention to.
• Outcome: the expected result or effect of the intervention.
• Time frame: the period during which the study is conducted.These components can be remembered through the acronyms PICOT and FINER, which stand for Population, Intervention, Comparator, Outcome, Time frame, and Feasible, Interesting, Novel, Ethical, Relevant, respectively.

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How to Write a Research Question: Types and Examples 

The first step in any research project is framing the research question. It can be considered the core of any systematic investigation as the research outcomes are tied to asking the right questions. Thus, this primary interrogation point sets the pace for your research as it helps collect relevant and insightful information that ultimately influences your work.   

Typically, the research question guides the stages of inquiry, analysis, and reporting. Depending on the use of quantifiable or quantitative data, research questions are broadly categorized into quantitative or qualitative research questions. Both types of research questions can be used independently or together, considering the overall focus and objectives of your research.  

What is a research question?

A research question is a clear, focused, concise, and arguable question on which your research and writing are centered. 1 It states various aspects of the study, including the population and variables to be studied and the problem the study addresses. These questions also set the boundaries of the study, ensuring cohesion. 

Designing the research question is a dynamic process where the researcher can change or refine the research question as they review related literature and develop a framework for the study. Depending on the scale of your research, the study can include single or multiple research questions. 

A good research question has the following features: 

• It is relevant to the chosen field of study. 
• The question posed is arguable and open for debate, requiring synthesizing and analysis of ideas. 
• It is focused and concisely framed. 
• A feasible solution is possible within the given practical constraint and timeframe. 

A poorly formulated research question poses several risks. 1   

• Researchers can adopt an erroneous design. 
• It can create confusion and hinder the thought process, including developing a clear protocol.  
• It can jeopardize publication efforts.  
• It causes difficulty in determining the relevance of the study findings.  
• It causes difficulty in whether the study fulfils the inclusion criteria for systematic review and meta-analysis. This creates challenges in determining whether additional studies or data collection is needed to answer the question.  
• Readers may fail to understand the objective of the study. This reduces the likelihood of the study being cited by others. 

Now that you know “What is a research question?”, let’s look at the different types of research questions. 

Types of research questions

Depending on the type of research to be done, research questions can be classified broadly into quantitative, qualitative, or mixed-methods studies. Knowing the type of research helps determine the best type of research question that reflects the direction and epistemological underpinnings of your research. 

The structure and wording of quantitative 2 and qualitative research 3 questions differ significantly. The quantitative study looks at causal relationships, whereas the qualitative study aims at exploring a phenomenon. 

• Quantitative research questions:  
• Seeks to investigate social, familial, or educational experiences or processes in a particular context and/or location.  
• Answers ‘how,’ ‘what,’ or ‘why’ questions. 
• Investigates connections, relations, or comparisons between independent and dependent variables. 

Quantitative research questions can be further categorized into descriptive, comparative, and relationship, as explained in the Table below. 

• Qualitative research questions  

Qualitative research questions are adaptable, non-directional, and more flexible. It concerns broad areas of research or more specific areas of study to discover, explain, or explore a phenomenon. These are further classified as follows: 

• Mixed-methods studies  

Mixed-methods studies use both quantitative and qualitative research questions to answer your research question. Mixed methods provide a complete picture than standalone quantitative or qualitative research, as it integrates the benefits of both methods. Mixed methods research is often used in multidisciplinary settings and complex situational or societal research, especially in the behavioral, health, and social science fields. 

What makes a good research question

A good research question should be clear and focused to guide your research. It should synthesize multiple sources to present your unique argument, and should ideally be something that you are interested in. But avoid questions that can be answered in a few factual statements. The following are the main attributes of a good research question. 

• Specific: The research question should not be a fishing expedition performed in the hopes that some new information will be found that will benefit the researcher. The central research question should work with your research problem to keep your work focused. If using multiple questions, they should all tie back to the central aim. 
• Measurable: The research question must be answerable using quantitative and/or qualitative data or from scholarly sources to develop your research question. If such data is impossible to access, it is better to rethink your question. 
• Attainable: Ensure you have enough time and resources to do all research required to answer your question. If it seems you will not be able to gain access to the data you need, consider narrowing down your question to be more specific. 
• You have the expertise 
• You have the equipment and resources 
• Realistic: Developing your research question should be based on initial reading about your topic. It should focus on addressing a problem or gap in the existing knowledge in your field or discipline. 
• Based on some sort of rational physics 
• Can be done in a reasonable time frame 
• Timely: The research question should contribute to an existing and current debate in your field or in society at large. It should produce knowledge that future researchers or practitioners can later build on. 
• Novel 
• Based on current technologies. 
• Important to answer current problems or concerns. 
• Lead to new directions. 
• Important: Your question should have some aspect of originality. Incremental research is as important as exploring disruptive technologies. For example, you can focus on a specific location or explore a new angle. 
• Meaningful whether the answer is “Yes” or “No.” Closed-ended, yes/no questions are too simple to work as good research questions. Such questions do not provide enough scope for robust investigation and discussion. A good research question requires original data, synthesis of multiple sources, and original interpretation and argumentation before providing an answer. 

Steps for developing a good research question

The importance of research questions cannot be understated. When drafting a research question, use the following frameworks to guide the components of your question to ease the process. 4  

• Determine the requirements: Before constructing a good research question, set your research requirements. What is the purpose? Is it descriptive, comparative, or explorative research? Determining the research aim will help you choose the most appropriate topic and word your question appropriately. 
• Select a broad research topic: Identify a broader subject area of interest that requires investigation. Techniques such as brainstorming or concept mapping can help identify relevant connections and themes within a broad research topic. For example, how to learn and help students learn. 
• Perform preliminary investigation: Preliminary research is needed to obtain up-to-date and relevant knowledge on your topic. It also helps identify issues currently being discussed from which information gaps can be identified. 
• Narrow your focus: Narrow the scope and focus of your research to a specific niche. This involves focusing on gaps in existing knowledge or recent literature or extending or complementing the findings of existing literature. Another approach involves constructing strong research questions that challenge your views or knowledge of the area of study (Example: Is learning consistent with the existing learning theory and research). 
• Identify the research problem: Once the research question has been framed, one should evaluate it. This is to realize the importance of the research questions and if there is a need for more revising (Example: How do your beliefs on learning theory and research impact your instructional practices). 

How to write a research question

Those struggling to understand how to write a research question, these simple steps can help you simplify the process of writing a research question. 

Sample Research Questions

The following are some bad and good research question examples 

• Example 1 
• Example 2 

References:  

• Thabane, L., Thomas, T., Ye, C., & Paul, J. (2009). Posing the research question: not so simple.  Canadian Journal of Anesthesia/Journal canadien d’anesthésie ,  56 (1), 71-79. 
• Rutberg, S., & Bouikidis, C. D. (2018). Focusing on the fundamentals: A simplistic differentiation between qualitative and quantitative research.  Nephrology Nursing Journal ,  45 (2), 209-213. 
• Kyngäs, H. (2020). Qualitative research and content analysis.  The application of content analysis in nursing science research , 3-11. 
• Mattick, K., Johnston, J., & de la Croix, A. (2018). How to… write a good research question.  The clinical teacher ,  15 (2), 104-108. 
• Fandino, W. (2019). Formulating a good research question: Pearls and pitfalls.  Indian Journal of Anaesthesia ,  63 (8), 611. 
• Richardson, W. S., Wilson, M. C., Nishikawa, J., & Hayward, R. S. (1995). The well-built clinical question: a key to evidence-based decisions.  ACP journal club ,  123 (3), A12-A13 

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How to Develop a Good Research Question? — Types & Examples

Cecilia is living through a tough situation in her research life. Figuring out where to begin, how to start her research study, and how to pose the right question for her research quest, is driving her insane. Well, questions, if not asked correctly, have a tendency to spiral us!

Image Source: https://phdcomics.com/

Questions lead everyone to answers. Research is a quest to find answers. Not the vague questions that Cecilia means to answer, but definitely more focused questions that define your research. Therefore, asking appropriate question becomes an important matter of discussion.

A well begun research process requires a strong research question. It directs the research investigation and provides a clear goal to focus on. Understanding the characteristics of comprising a good research question will generate new ideas and help you discover new methods in research.

In this article, we are aiming to help researchers understand what is a research question and how to write one with examples.

Table of Contents

What Is a Research Question?

A good research question defines your study and helps you seek an answer to your research. Moreover, a clear research question guides the research paper or thesis to define exactly what you want to find out, giving your work its objective. Learning to write a research question is the beginning to any thesis, dissertation , or research paper. Furthermore, the question addresses issues or problems which is answered through analysis and interpretation of data.

Why Is a Research Question Important?

A strong research question guides the design of a study. Moreover, it helps determine the type of research and identify specific objectives. Research questions state the specific issue you are addressing and focus on outcomes of the research for individuals to learn. Therefore, it helps break up the study into easy steps to complete the objectives and answer the initial question.

Types of Research Questions

Research questions can be categorized into different types, depending on the type of research you want to undergo. Furthermore, knowing the type of research will help a researcher determine the best type of research question to use.

1. Qualitative Research Question

Qualitative questions concern broad areas or more specific areas of research. However, unlike quantitative questions, qualitative research questions are adaptable, non-directional and more flexible. Qualitative research question focus on discovering, explaining, elucidating, and exploring.

i. Exploratory Questions

This form of question looks to understand something without influencing the results. The objective of exploratory questions is to learn more about a topic without attributing bias or preconceived notions to it.

Research Question Example: Asking how a chemical is used or perceptions around a certain topic.

ii. Predictive Questions

Predictive research questions are defined as survey questions that automatically predict the best possible response options based on text of the question. Moreover, these questions seek to understand the intent or future outcome surrounding a topic.

Research Question Example: Asking why a consumer behaves in a certain way or chooses a certain option over other.

iii. Interpretive Questions

This type of research question allows the study of people in the natural setting. The questions help understand how a group makes sense of shared experiences with regards to various phenomena. These studies gather feedback on a group’s behavior without affecting the outcome.

Research Question Example: How do you feel about AI assisting publishing process in your research?

2. Quantitative Research Question

Quantitative questions prove or disprove a researcher’s hypothesis through descriptions, comparisons, and relationships. These questions are beneficial when choosing a research topic or when posing follow-up questions that garner more information.

i. Descriptive Questions

It is the most basic type of quantitative research question and it seeks to explain when, where, why, or how something occurred. Moreover, they use data and statistics to describe an event or phenomenon.

Research Question Example: How many generations of genes influence a future generation?

ii. Comparative Questions

Sometimes it’s beneficial to compare one occurrence with another. Therefore, comparative questions are helpful when studying groups with dependent variables.

Example: Do men and women have comparable metabolisms?

iii. Relationship-Based Questions

This type of research question answers influence of one variable on another. Therefore, experimental studies use this type of research questions are majorly.

Example: How is drought condition affect a region’s probability for wildfires.  

How to Write a Good Research Question?

1. Select a Topic

The first step towards writing a good research question is to choose a broad topic of research. You could choose a research topic that interests you, because the complete research will progress further from the research question. Therefore, make sure to choose a topic that you are passionate about, to make your research study more enjoyable.

2. Conduct Preliminary Research

After finalizing the topic, read and know about what research studies are conducted in the field so far. Furthermore, this will help you find articles that talk about the topics that are yet to be explored. You could explore the topics that the earlier research has not studied.

3. Consider Your Audience

The most important aspect of writing a good research question is to find out if there is audience interested to know the answer to the question you are proposing. Moreover, determining your audience will assist you in refining your research question, and focus on aspects that relate to defined groups.

4. Generate Potential Questions

The best way to generate potential questions is to ask open ended questions. Questioning broader topics will allow you to narrow down to specific questions. Identifying the gaps in literature could also give you topics to write the research question. Moreover, you could also challenge the existing assumptions or use personal experiences to redefine issues in research.

5. Review Your Questions

Once you have listed few of your questions, evaluate them to find out if they are effective research questions. Moreover while reviewing, go through the finer details of the question and its probable outcome, and find out if the question meets the research question criteria.

6. Construct Your Research Question

There are two frameworks to construct your research question. The first one being PICOT framework , which stands for:

• Population or problem
• Intervention or indicator being studied
• Comparison group
• Outcome of interest
• Time frame of the study.

The second framework is PEO , which stands for:

• Population being studied
• Exposure to preexisting conditions
• Outcome of interest.

Research Question Examples

• How might the discovery of a genetic basis for alcoholism impact triage processes in medical facilities?
• How do ecological systems respond to chronic anthropological disturbance?
• What are demographic consequences of ecological interactions?
• What roles do fungi play in wildfire recovery?
• How do feedbacks reinforce patterns of genetic divergence on the landscape?
• What educational strategies help encourage safe driving in young adults?
• What makes a grocery store easy for shoppers to navigate?
• What genetic factors predict if someone will develop hypothyroidism?
• Does contemporary evolution along the gradients of global change alter ecosystems function?

How did you write your first research question ? What were the steps you followed to create a strong research question? Do write to us or comment below.

Frequently Asked Questions

Research questions guide the focus and direction of a research study. Here are common types of research questions: 1. Qualitative research question: Qualitative questions concern broad areas or more specific areas of research. However, unlike quantitative questions, qualitative research questions are adaptable, non-directional and more flexible. Different types of qualitative research questions are: i. Exploratory questions ii. Predictive questions iii. Interpretive questions 2. Quantitative Research Question: Quantitative questions prove or disprove a researcher’s hypothesis through descriptions, comparisons, and relationships. These questions are beneficial when choosing a research topic or when posing follow-up questions that garner more information. Different types of quantitative research questions are: i. Descriptive questions ii. Comparative questions iii. Relationship-based questions

Qualitative research questions aim to explore the richness and depth of participants' experiences and perspectives. They should guide your research and allow for in-depth exploration of the phenomenon under investigation. After identifying the research topic and the purpose of your research: • Begin with Broad Inquiry: Start with a general research question that captures the main focus of your study. This question should be open-ended and allow for exploration. • Break Down the Main Question: Identify specific aspects or dimensions related to the main research question that you want to investigate. • Formulate Sub-questions: Create sub-questions that delve deeper into each specific aspect or dimension identified in the previous step. • Ensure Open-endedness: Make sure your research questions are open-ended and allow for varied responses and perspectives. Avoid questions that can be answered with a simple "yes" or "no." Encourage participants to share their experiences, opinions, and perceptions in their own words. • Refine and Review: Review your research questions to ensure they align with your research purpose, topic, and objectives. Seek feedback from your research advisor or peers to refine and improve your research questions.

Developing research questions requires careful consideration of the research topic, objectives, and the type of study you intend to conduct. Here are the steps to help you develop effective research questions: 1. Select a Topic 2. Conduct Preliminary Research 3. Consider Your Audience 4. Generate Potential Questions 5. Review Your Questions 6. Construct Your Research Question Based on PICOT or PEO Framework

There are two frameworks to construct your research question. The first one being PICOT framework, which stands for: • Population or problem • Intervention or indicator being studied • Comparison group • Outcome of interest • Time frame of the study The second framework is PEO, which stands for: • Population being studied • Exposure to preexisting conditions • Outcome of interest

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Creating a Good Research Question

• Advice & Growth
• Process in Practice

Successful translation of research begins with a strong question. How do you get started? How do good research questions evolve? And where do you find inspiration to generate good questions in the first place?  It’s helpful to understand existing frameworks, guidelines, and standards, as well as hear from researchers who utilize these strategies in their own work.

In the fall and winter of 2020, Naomi Fisher, MD, conducted 10 interviews with clinical and translational researchers at Harvard University and affiliated academic healthcare centers, with the purpose of capturing their experiences developing good research questions. The researchers featured in this project represent various specialties, drawn from every stage of their careers. Below you will find clips from their interviews and additional resources that highlight how to get started, as well as helpful frameworks and factors to consider. Additionally, visit the Advice & Growth section to hear candid advice and explore the Process in Practice section to hear how researchers have applied these recommendations to their published research.

• Naomi Fisher, MD , is associate professor of medicine at Harvard Medical School (HMS), and clinical staff at Brigham and Women’s Hospital (BWH). Fisher is founder and director of Hypertension Services and the Hypertension Specialty Clinic at the BWH, where she is a renowned endocrinologist. She serves as a faculty director for communication-related Boundary-Crossing Skills for Research Careers webinar sessions and the Writing and Communication Center .
• Christopher Gibbons, MD , is associate professor of neurology at HMS, and clinical staff at Beth Israel Deaconess Medical Center (BIDMC) and Joslin Diabetes Center. Gibbons’ research focus is on peripheral and autonomic neuropathies.
• Clare Tempany-Afdhal, MD , is professor of radiology at HMS and the Ferenc Jolesz Chair of Research, Radiology at BWH. Her major areas of research are MR imaging of the pelvis and image- guided therapy.
• David Sykes, MD, PhD , is assistant professor of medicine at Massachusetts General Hospital (MGH), he is also principal investigator at the Sykes Lab at MGH. His special interest area is rare hematologic conditions.
• Elliot Israel, MD , is professor of medicine at HMS, director of the Respiratory Therapy Department, the director of clinical research in the Pulmonary and Critical Care Medical Division and associate physician at BWH. Israel’s research interests include therapeutic interventions to alter asthmatic airway hyperactivity and the role of arachidonic acid metabolites in airway narrowing.
• Jonathan Williams, MD, MMSc , is assistant professor of medicine at HMS, and associate physician at BWH. He focuses on endocrinology, specifically unravelling the intricate relationship between genetics and environment with respect to susceptibility to cardiometabolic disease.
• Junichi Tokuda, PhD , is associate professor of radiology at HMS, and is a research scientist at the Department of Radiology, BWH. Tokuda is particularly interested in technologies to support image-guided “closed-loop” interventions. He also serves as a principal investigator leading several projects funded by the National Institutes of Health and industry.
• Osama Rahma, MD , is assistant professor of medicine at HMS and clinical staff member in medical oncology at Dana-Farber Cancer Institute (DFCI). Rhama is currently a principal investigator at the Center for Immuno-Oncology and Gastroenterology Cancer Center at DFCI. His research focus is on drug development of combinational immune therapeutics.
• Sharmila Dorbala, MD, MPH , is professor of radiology at HMS and clinical staff at BWH in cardiovascular medicine and radiology. She is also the president of the American Society of Nuclear Medicine. Dorbala’s specialty is using nuclear medicine for cardiovascular discoveries.
• Subha Ramani, PhD, MBBS, MMed , is associate professor of medicine at HMS, as well as associate physician in the Division of General Internal Medicine and Primary Care at BWH. Ramani’s scholarly interests focus on innovative approaches to teaching, learning and assessment of clinical trainees, faculty development in teaching, and qualitative research methods in medical education.
• Ursula Kaiser, MD , is professor at HMS and chief of the Division of Endocrinology, Diabetes and Hypertension, and senior physician at BWH. Kaiser’s research focuses on understanding the molecular mechanisms by which pulsatile gonadotropin-releasing hormone regulates the expression of luteinizing hormone and follicle-stimulating hormone genes.

Insights on Creating a Good Research Question

Play Junichi Tokuda video

Play Ursula Kaiser video

Start Successfully: Build the Foundation of a Good Research Question

Start Successfully Resources

Ideation in Device Development: Finding Clinical Need Josh Tolkoff, MS A lecture explaining the critical importance of identifying a compelling clinical need before embarking on a research project. Play Ideation in Device Development video .

Radical Innovation Jeff Karp, PhD This ThinkResearch podcast episode focuses on one researcher’s approach using radical simplicity to break down big problems and questions. Play Radical Innovation .

Using Healthcare Data: How can Researchers Come up with Interesting Questions? Anupam Jena, MD, PhD Another ThinkResearch podcast episode addresses how to discover good research questions by using a backward design approach which involves analyzing big data and allowing the research question to unfold from findings. Play Using Healthcare Data .

Important Factors: Consider Feasibility and Novelty

Refining Your Research Question 

Play video of Clare Tempany-Afdhal

Play Elliott Israel video

Frameworks and Structure: Evaluate Research Questions Using Tools and Techniques

Frameworks and Structure Resources

Designing Clinical Research Hulley et al. A comprehensive and practical guide to clinical research, including the FINER framework for evaluating research questions. Learn more about the book .

Translational Medicine Library Guide Queens University Library An introduction to popular frameworks for research questions, including FINER and PICO. Review translational medicine guide .

Asking a Good T3/T4 Question  Niteesh K. Choudhry, MD, PhD This video explains the PICO framework in practice as participants in a workshop propose research questions that compare interventions. Play Asking a Good T3/T4 Question video

Introduction to Designing & Conducting Mixed Methods Research An online course that provides a deeper dive into mixed methods’ research questions and methodologies. Learn more about the course

Network and Support: Find the Collaborators and Stakeholders to Help Evaluate Research Questions

Network & Support Resource

Bench-to-bedside, Bedside-to-bench Christopher Gibbons, MD In this lecture, Gibbons shares his experience of bringing research from bench to bedside, and from bedside to bench. His talk highlights the formation and evolution of research questions based on clinical need. Play Bench-to-bedside. 

Writing Studio

Formulating your research question (rq).

In an effort to make our handouts more accessible, we have begun converting our PDF handouts to web pages. Download this page as a PDF: Formulating Your Research Question Return to Writing Studio Handouts

In a research paper, the emphasis is on generating a unique question and then synthesizing diverse sources into a coherent essay that supports your argument about the topic. In other words, you integrate information from publications with your own thoughts in order to formulate an argument. Your topic is your starting place: from here, you will develop an engaging research question. Merely presenting a topic in the form of a question does not transform it into a good research question.

Research Topic Versus Research Question Examples

1. broad topic versus narrow question, 1a. broad topic.

“What forces affect race relations in America?”

1b. NARROWER QUESTION

“How do corporate hiring practices affect race relations in Nashville?”

The question “What is the percentage of racial minorities holding management positions in corporate offices in Nashville?” is much too specific and would yield, at best, a statistic that could become part of a larger argument.

2. Neutral Topic Versus Argumentative Question

2a. neutral topic.

“How does KFC market its low-fat food offerings?”

2b. Argumentative question

“Does KFC put more money into marketing its high-fat food offerings than its lower-fat ones?”

The latter question is somewhat better, since it may lead you to take a stance or formulate an argument about consumer awareness or benefit.

3. Objective Topic Versus Subjective Question

Objective subjects are factual and do not have sides to be argued. Subjective subjects are those about which you can take a side.

3a. Objective topic

“How much time do youth between the ages of 10 and 15 spend playing video games?”

3b. Subjective Question

“What are the effects of video-gaming on the attention spans of youth between the ages of 10 and 15?”

The first question is likely to lead to some data, though not necessarily to an argument or issue. The second question is somewhat better, since it might lead you to formulate an argument for or against time spent playing video games.

4. Open-Ended Topic Versus Direct Question

4a. open-ended topic.

“Does the author of this text use allusion?”

4b. Direct question (gives direction to research)

“Does the ironic use of allusion in this text reveal anything about the author’s unwillingness to divulge his political commitments?”

The second question gives focus by putting the use of allusion into the specific context of a question about the author’s political commitments and perhaps also about the circumstances under which the text was produced.

Research Question (RQ) Checklist

• Is my RQ something that I am curious about and that others might care about? Does it present an issue on which I can take a stand?
• Does my RQ put a new spin on an old issue, or does it try to solve a problem?
• Is my RQ too broad, too narrow, or OK?
• within the time frame of the assignment?
• given the resources available at my location?
• Is my RQ measurable? What type of information do I need? Can I find actual data to support or contradict a position?
• What sources will have the type of information that I need to answer my RQ (journals, books, internet resources, government documents, interviews with people)?

Final Thoughts

The answer to a good research question will often be the THESIS of your research paper! And the results of your research may not always be what you expected them to be. Not only is this ok, it can be an indication that you are doing careful work!

Adapted from an online tutorial at Empire State College: http://www.esc.edu/htmlpages/writerold/menus.htm#develop (broken link)

Last revised: November 2022 | Adapted for web delivery: November 2022

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Research Question 101 📖

Everything you need to know to write a high-quality research question

By: Derek Jansen (MBA) | Reviewed By: Dr. Eunice Rautenbach | October 2023

If you’ve landed on this page, you’re probably asking yourself, “ What is a research question? ”. Well, you’ve come to the right place. In this post, we’ll explain what a research question is , how it’s differen t from a research aim, and how to craft a high-quality research question that sets you up for success.

Research Question 101

What is a research question.

• Research questions vs research aims
• The 4 types of research questions
• How to write a research question
• Frequently asked questions
• Examples of research questions

As the name suggests, the research question is the core question (or set of questions) that your study will (attempt to) answer .

In many ways, a research question is akin to a target in archery . Without a clear target, you won’t know where to concentrate your efforts and focus. Essentially, your research question acts as the guiding light throughout your project and informs every choice you make along the way.

Let’s look at some examples:

What impact does social media usage have on the mental health of teenagers in New York?

How does the introduction of a minimum wage affect employment levels in small businesses in outer London?

How does the portrayal of women in 19th-century American literature reflect the societal attitudes of the time?

What are the long-term effects of intermittent fasting on heart health in adults?

As you can see in these examples, research questions are clear, specific questions that can be feasibly answered within a study. These are important attributes and we’ll discuss each of them in more detail a little later . If you’d like to see more examples of research questions, you can find our RQ mega-list here .

Research Questions vs Research Aims

At this point, you might be asking yourself, “ How is a research question different from a research aim? ”. Within any given study, the research aim and research question (or questions) are tightly intertwined , but they are separate things . Let’s unpack that a little.

A research aim is typically broader in nature and outlines what you hope to achieve with your research. It doesn’t ask a specific question but rather gives a summary of what you intend to explore.

The research question, on the other hand, is much more focused . It’s the specific query you’re setting out to answer. It narrows down the research aim into a detailed, researchable question that will guide your study’s methods and analysis.

Let’s look at an example:

Research Aim: To explore the effects of climate change on marine life in Southern Africa.

Research Question: How does ocean acidification caused by climate change affect the reproduction rates of coral reefs?

As you can see, the research aim gives you a general focus , while the research question details exactly what you want to find out.

Need a helping hand?

Types of research questions

Now that we’ve defined what a research question is, let’s look at the different types of research questions that you might come across. Broadly speaking, there are (at least) four different types of research questions – descriptive , comparative , relational , and explanatory . 

Descriptive questions ask what is happening. In other words, they seek to describe a phenomena or situation . An example of a descriptive research question could be something like “What types of exercise do high-performing UK executives engage in?”. This would likely be a bit too basic to form an interesting study, but as you can see, the research question is just focused on the what – in other words, it just describes the situation.

Comparative research questions , on the other hand, look to understand the way in which two or more things differ , or how they’re similar. An example of a comparative research question might be something like “How do exercise preferences vary between middle-aged men across three American cities?”. As you can see, this question seeks to compare the differences (or similarities) in behaviour between different groups.

Next up, we’ve got exploratory research questions , which ask why or how is something happening. While the other types of questions we looked at focused on the what, exploratory research questions are interested in the why and how . As an example, an exploratory research question might ask something like “Why have bee populations declined in Germany over the last 5 years?”. As you can, this question is aimed squarely at the why, rather than the what.

Last but not least, we have relational research questions . As the name suggests, these types of research questions seek to explore the relationships between variables . Here, an example could be something like “What is the relationship between X and Y” or “Does A have an impact on B”. As you can see, these types of research questions are interested in understanding how constructs or variables are connected , and perhaps, whether one thing causes another.

Of course, depending on how fine-grained you want to get, you can argue that there are many more types of research questions , but these four categories give you a broad idea of the different flavours that exist out there. It’s also worth pointing out that a research question doesn’t need to fit perfectly into one category – in many cases, a research question might overlap into more than just one category and that’s okay.

The key takeaway here is that research questions can take many different forms , and it’s useful to understand the nature of your research question so that you can align your research methodology accordingly.

How To Write A Research Question

As we alluded earlier, a well-crafted research question needs to possess very specific attributes, including focus , clarity and feasibility . But that’s not all – a rock-solid research question also needs to be rooted and aligned . Let’s look at each of these.

A strong research question typically has a single focus. So, don’t try to cram multiple questions into one research question; rather split them up into separate questions (or even subquestions), each with their own specific focus. As a rule of thumb, narrow beats broad when it comes to research questions.

Clear and specific

A good research question is clear and specific, not vague and broad. State clearly exactly what you want to find out so that any reader can quickly understand what you’re looking to achieve with your study. Along the same vein, try to avoid using bulky language and jargon – aim for clarity.

Unfortunately, even a super tantalising and thought-provoking research question has little value if you cannot feasibly answer it. So, think about the methodological implications of your research question while you’re crafting it. Most importantly, make sure that you know exactly what data you’ll need (primary or secondary) and how you’ll analyse that data.

A good research question (and a research topic, more broadly) should be rooted in a clear research gap and research problem . Without a well-defined research gap, you risk wasting your effort pursuing a question that’s already been adequately answered (and agreed upon) by the research community. A well-argued research gap lays at the heart of a valuable study, so make sure you have your gap clearly articulated and that your research question directly links to it.

As we mentioned earlier, your research aim and research question are (or at least, should be) tightly linked. So, make sure that your research question (or set of questions) aligns with your research aim . If not, you’ll need to revise one of the two to achieve this.

FAQ: Research Questions

Research question faqs, how many research questions should i have, what should i avoid when writing a research question, can a research question be a statement.

Typically, a research question is phrased as a question, not a statement. A question clearly indicates what you’re setting out to discover.

Can a research question be too broad or too narrow?

Yes. A question that’s too broad makes your research unfocused, while a question that’s too narrow limits the scope of your study.

Here’s an example of a research question that’s too broad:

“Why is mental health important?”

Conversely, here’s an example of a research question that’s likely too narrow:

“What is the impact of sleep deprivation on the exam scores of 19-year-old males in London studying maths at The Open University?”

Can I change my research question during the research process?

How do i know if my research question is good.

A good research question is focused, specific, practical, rooted in a research gap, and aligned with the research aim. If your question meets these criteria, it’s likely a strong question.

Is a research question similar to a hypothesis?

Not quite. A hypothesis is a testable statement that predicts an outcome, while a research question is a query that you’re trying to answer through your study. Naturally, there can be linkages between a study’s research questions and hypothesis, but they serve different functions.

How are research questions and research objectives related?

The research question is a focused and specific query that your study aims to answer. It’s the central issue you’re investigating. The research objective, on the other hand, outlines the steps you’ll take to answer your research question. Research objectives are often more action-oriented and can be broken down into smaller tasks that guide your research process. In a sense, they’re something of a roadmap that helps you answer your research question.

Need some inspiration?

If you’d like to see more examples of research questions, check out our research question mega list here .  Alternatively, if you’d like 1-on-1 help developing a high-quality research question, consider our private coaching service .

Psst... there’s more!

This post was based on one of our popular Research Bootcamps . If you're working on a research project, you'll definitely want to check this out ...

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Research: From selecting a topic to writing the bibliography

• Selecting a Topic
• Developing a Research Question
• What Type of Source Do I Need?
• Selecting the Best Place to Search
• Search Like a Pro
• Evaluating Information

Research Questions Worth Asking

This video from the UMD, Global Campus gives a good introduction to research questions.

What is a research question?

Once you have selected a topic, you need to develop a research question. You may be used to working with a thesis statement, but a thesis statement is an answer. If you start your research with an answer, you might miss something important or your paper might be too one-sided. Starting with a question allows you to explore your topic while still having it clearly defined. 

A good research question is specific and focused.

Topic : Netflix

Research Question : How has the rise of streaming television changed the nature of advertising during television shows?

Topic : the environmental impact of fracking

Research Question : What are some of the most effective ways of protecting local ground water from the waste water produced by fracking?

Tip: Beware of research questions that are too broad or too narrow.

Too Broad:  Why is reality television so popular?

Too Narrow:  What are the economic and social consequences of the popularity of Jersey Shore on the lives of teenagers living in Omaha, Nebraska? 

Tip: be willing to tweak your research question as you go.

Research Question:  How has the rise of streaming television changed the nature of advertising during television shows?

Potential Research Finding:  Advertising during television hasn't changed much recently.

New Research Question:  Why has advertising on television been able to remain the same when how we watch television has changed so much?

Examples of Research Questions

The assignment is a 10-15 page paper relying primarily on scholarly resources.

• How is malaria treated?
• Will tablet computing replace the need for laptops?
• How much has the popularity of Harry Potter improved the reading scores of second graders in Missouri?
• At what point in time will the need for nurses in pedatric wards outpace the graduation rates from nursing schools?
• In what ways have online communities changed the nature of support systems available for people with Attention Deficit Disorder?
• How has mountaintop removal mining in western Kentucky impacted the migratory habits of the local bird population?
• << Previous: Selecting a Topic
• Next: What Type of Source Do I Need? >>
• Last Updated: May 28, 2024 5:06 PM
• URL: https://libguides.gwu.edu/research

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1-Research Questions

6. Developing Your Research Question

Because of all their influence, you might worry that research questions are very difficult to develop. Sometimes it can seem that way. But we’ll help you get the hang of it and, luckily, none of us has to come up with perfect ones right off. It’s more like doing a rough draft and then improving it. That’s why we talk about developing research questions instead of just writing them.

Steps for Developing a Research Question

The steps for developing a research question, listed below, can help you organize your thoughts.

Step 1: Pick a topic (or consider the one assigned to you).

Step 2: Write a narrower/smaller topic that is related to the first.

Step 3: List some potential questions that could logically be asked in relation to the narrow topic.

Step 4: Pick the question that you are most interested in.

Step 5: Change the question you’re interested in so that it is more focused and specific.

MOVIE: Developing Research Questions

As you view this short video on how to develop research questions, think about the steps. Which step do you think is easiest? Which do you think is the hardest?  

Once you know the steps and their order, only three skills are involved in developing a research question:

• Imagining narrower topics about a larger one,
• Thinking of questions that stem from a narrow topic, and
• Focusing questions to eliminate their vagueness.

Every time you use these skills, it’s important to evaluate what you have produced—that’s just part of the process of turning rough drafts into more finished products.

ACTIVITY:  Developing a Research Question

Maybe you have a topic in mind but aren’t sure how to form a research question around it. The trick is to think of a question related to your topic but not answerable with a quick search. Also, try to be specific so that your research question can be fully answered in the final product for your research assignment.

ACTIVITY: Thinking of Questions

For each of the narrow topics below, think of a research question that is logically related to that topic. (Remember that good research questions often, but not always, start with “Why” or “How” because questions that begin that way usually require more analysis.)

• U.S. investors’ attitudes about sustainability
• College students’ use of Snapchat
• The character Scout in To Kill a Mockingbird
• Nature-inspired nanotechnologies
• Marital therapy

After you think of each research question, evaluate it by asking whether it is:

• Logically related to the topic
• In question form
• Not answerable with a quick Google search
• Specific, not vague

Sometimes the first draft of a research question is still too broad, which can make your search for sources more challenging. Refining your question to remove vagueness or to target a specific aspect of the topic can help.

ACTIVITY: Focusing Questions

The first draft research questions below are not focused enough. Read them and identify at least one area of vagueness in each. Check your vagueness with what we identified. It’s great if you found more than we did because that can lead to research questions of greater specificity. See the bottom of the page for our answers.

First Drafts of Research Questions:

• Why have most electric car company start-ups failed?
• How do crabapple trees develop buds?
• How has NASA helped America?
• Why do many first-time elections soon after a country overthrows a dictator result in very conservative elected leaders?
• How is music composed and performed mostly by African-Americans connected to African-American history?

ANSWER TO ACTIVITY: Focusing Questions

Some answers to the “Focusing Questions” Activity above are:

Question 1: Why have most electric car company start-ups failed? Vagueness: Which companies are we talking about? Worldwide or in a particular country?

Question 2: How do crabapple trees develop buds? Vagueness: There are several kinds of crabapples. Should we talk only about one kind? Does it matter where the crabapple tree lives?

Question 3: How has NASA helped America? Vagueness: NASA has had many projects. Should we should focus on one project they completed? Or projects during a particular time period?

Question 4: Why do many first-time elections soon after a country overthrows a dictator result in very conservative elected leaders? Vagueness: What time period are we talking about? Many dictators have been overthrown and many countries have been involved. Perhaps we should focus on one country or one dictator or one time period.

Question 5: How is music composed and performed mostly by African-Americans connected to African-American history? Vagueness: What kinds of music? Any particular performers and composers? When?

Choosing & Using Sources: A Guide to Academic Research Copyright © 2015 by Teaching & Learning, Ohio State University Libraries is licensed under a Creative Commons Attribution 4.0 International License , except where otherwise noted.

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How to Write a Good Research Question (w/ Examples)

What is a Research Question?

A research question is the main question that your study sought or is seeking to answer. A clear research question guides your research paper or thesis and states exactly what you want to find out, giving your work a focus and objective. Learning  how to write a hypothesis or research question is the start to composing any thesis, dissertation, or research paper. It is also one of the most important sections of a research proposal . 

A good research question not only clarifies the writing in your study; it provides your readers with a clear focus and facilitates their understanding of your research topic, as well as outlining your study’s objectives. Before drafting the paper and receiving research paper editing (and usually before performing your study), you should write a concise statement of what this study intends to accomplish or reveal.

Research Question Writing Tips

Listed below are the important characteristics of a good research question:

A good research question should:

• Be clear and provide specific information so readers can easily understand the purpose.
• Be focused in its scope and narrow enough to be addressed in the space allowed by your paper
• Be relevant and concise and express your main ideas in as few words as possible, like a hypothesis.
• Be precise and complex enough that it does not simply answer a closed “yes or no” question, but requires an analysis of arguments and literature prior to its being considered acceptable. 
• Be arguable or testable so that answers to the research question are open to scrutiny and specific questions and counterarguments.

Some of these characteristics might be difficult to understand in the form of a list. Let’s go into more detail about what a research question must do and look at some examples of research questions.

The research question should be specific and focused 

Research questions that are too broad are not suitable to be addressed in a single study. One reason for this can be if there are many factors or variables to consider. In addition, a sample data set that is too large or an experimental timeline that is too long may suggest that the research question is not focused enough.

A specific research question means that the collective data and observations come together to either confirm or deny the chosen hypothesis in a clear manner. If a research question is too vague, then the data might end up creating an alternate research problem or hypothesis that you haven’t addressed in your Introduction section .

The research question should be based on the literature 

An effective research question should be answerable and verifiable based on prior research because an effective scientific study must be placed in the context of a wider academic consensus. This means that conspiracy or fringe theories are not good research paper topics.

Instead, a good research question must extend, examine, and verify the context of your research field. It should fit naturally within the literature and be searchable by other research authors.

References to the literature can be in different citation styles and must be properly formatted according to the guidelines set forth by the publishing journal, university, or academic institution. This includes in-text citations as well as the Reference section . 

The research question should be realistic in time, scope, and budget

There are two main constraints to the research process: timeframe and budget.

A proper research question will include study or experimental procedures that can be executed within a feasible time frame, typically by a graduate doctoral or master’s student or lab technician. Research that requires future technology, expensive resources, or follow-up procedures is problematic.

A researcher’s budget is also a major constraint to performing timely research. Research at many large universities or institutions is publicly funded and is thus accountable to funding restrictions. 

The research question should be in-depth

Research papers, dissertations and theses , and academic journal articles are usually dozens if not hundreds of pages in length.

A good research question or thesis statement must be sufficiently complex to warrant such a length, as it must stand up to the scrutiny of peer review and be reproducible by other scientists and researchers.

Research Question Types

Qualitative and quantitative research are the two major types of research, and it is essential to develop research questions for each type of study. 

Quantitative Research Questions

Quantitative research questions are specific. A typical research question involves the population to be studied, dependent and independent variables, and the research design.

In addition, quantitative research questions connect the research question and the research design. In addition, it is not possible to answer these questions definitively with a “yes” or “no” response. For example, scientific fields such as biology, physics, and chemistry often deal with “states,” in which different quantities, amounts, or velocities drastically alter the relevance of the research.

As a consequence, quantitative research questions do not contain qualitative, categorical, or ordinal qualifiers such as “is,” “are,” “does,” or “does not.”

Categories of quantitative research questions

Qualitative research questions.

In quantitative research, research questions have the potential to relate to broad research areas as well as more specific areas of study. Qualitative research questions are less directional, more flexible, and adaptable compared with their quantitative counterparts. Thus, studies based on these questions tend to focus on “discovering,” “explaining,” “elucidating,” and “exploring.”

Categories of qualitative research questions

Quantitative and qualitative research question examples.

Good and Bad Research Question Examples

Below are some good (and not-so-good) examples of research questions that researchers can use to guide them in crafting their own research questions.

Research Question Example 1

The first research question is too vague in both its independent and dependent variables. There is no specific information on what “exposure” means. Does this refer to comments, likes, engagement, or just how much time is spent on the social media platform?

Second, there is no useful information on what exactly “affected” means. Does the subject’s behavior change in some measurable way? Or does this term refer to another factor such as the user’s emotions?

Research Question Example 2

In this research question, the first example is too simple and not sufficiently complex, making it difficult to assess whether the study answered the question. The author could really only answer this question with a simple “yes” or “no.” Further, the presence of data would not help answer this question more deeply, which is a sure sign of a poorly constructed research topic.

The second research question is specific, complex, and empirically verifiable. One can measure program effectiveness based on metrics such as attendance or grades. Further, “bullying” is made into an empirical, quantitative measurement in the form of recorded disciplinary actions.

Steps for Writing a Research Question

Good research questions are relevant, focused, and meaningful. It can be difficult to come up with a good research question, but there are a few steps you can follow to make it a bit easier.

1. Start with an interesting and relevant topic

Choose a research topic that is interesting but also relevant and aligned with your own country’s culture or your university’s capabilities. Popular academic topics include healthcare and medical-related research. However, if you are attending an engineering school or humanities program, you should obviously choose a research question that pertains to your specific study and major.

Below is an embedded graph of the most popular research fields of study based on publication output according to region. As you can see, healthcare and the basic sciences receive the most funding and earn the highest number of publications. 

2. Do preliminary research  

You can begin doing preliminary research once you have chosen a research topic. Two objectives should be accomplished during this first phase of research. First, you should undertake a preliminary review of related literature to discover issues that scholars and peers are currently discussing. With this method, you show that you are informed about the latest developments in the field.

Secondly, identify knowledge gaps or limitations in your topic by conducting a preliminary literature review . It is possible to later use these gaps to focus your research question after a certain amount of fine-tuning.

3. Narrow your research to determine specific research questions

You can focus on a more specific area of study once you have a good handle on the topic you want to explore. Focusing on recent literature or knowledge gaps is one good option. 

By identifying study limitations in the literature and overlooked areas of study, an author can carve out a good research question. The same is true for choosing research questions that extend or complement existing literature.

4. Evaluate your research question

Make sure you evaluate the research question by asking the following questions:

Is my research question clear?

The resulting data and observations that your study produces should be clear. For quantitative studies, data must be empirical and measurable. For qualitative, the observations should be clearly delineable across categories.

Is my research question focused and specific?

A strong research question should be specific enough that your methodology or testing procedure produces an objective result, not one left to subjective interpretation. Open-ended research questions or those relating to general topics can create ambiguous connections between the results and the aims of the study. 

Is my research question sufficiently complex?

The result of your research should be consequential and substantial (and fall sufficiently within the context of your field) to warrant an academic study. Simply reinforcing or supporting a scientific consensus is superfluous and will likely not be well received by most journal editors.  

Editing Your Research Question

Your research question should be fully formulated well before you begin drafting your research paper. However, you can receive English paper editing and proofreading services at any point in the drafting process. Language editors with expertise in your academic field can assist you with the content and language in your Introduction section or other manuscript sections. And if you need further assistance or information regarding paper compositions, in the meantime, check out our academic resources , which provide dozens of articles and videos on a variety of academic writing and publication topics.

The Sheridan Libraries

• Writing Resources
• Sheridan Libraries
• Develop a Research Topic or Question
• How to Access Full Text
• Google Scholar and Google Books
• Evaluate Your Sources This link opens in a new window
• Citing Sources This link opens in a new window
• Avoiding Plagiarism
• Books to Help You Write
• Copyright This link opens in a new window
• How To Read an Article
• Literature Reviews
• RefWorks Guide and Help This link opens in a new window
• Other Guides to Help You

Before You Start

• What do you already know about your subject? Keep a list of key words, names, and events.
• How long has your subject existed? Is it a relatively new concept with a lot published about it, or new and undiscovered?
• What discipline does your topic fall into? A discipline is an area of study or branch of learning (e.g., History, Biology). Each has its own best starting points.
• How are you viewing the topic? Think about what you are planning to emphasize: politics, history, or another aspect?
• What's the Timing? How long do you have to do this project? How long does it need to be?

Three Approaches for Developing a Topic

Approach #1: List Key Words of Interest Make lists of concepts and topics you find interesting, as well as lists of related words and synonyms. These can serve as your key search terms.

Approach #2: Draw It Out Sketch out the relationships between ideas.

Approach #3: Define it in Sentences Write an explanation of your topic, justifying it on multiple levels:

I am studying... conformity in Woolf’s Orlando in order to find out... how Orlando’s efforts to conform and fit in change over time in order to help my reader understand... the role maturity and self-awareness play in the character’s efforts to conform to societal norms.

Adapted from The Craft of Research (2003) by Wayne C. Booth, Gregory G. Colomb, and Joseph M. Williams. (We also own the latest edition, 8th edition, 2016 , in print.)

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Tips for Online Students , Tips for Students

How To Develop A Research Question: Formulate Your Success

Updated: July 13, 2022

Published: June 16, 2020

Developing strong writing doesn’t happen overnight. The same could be said about creating a good research question. As a student, there will likely be a point where you’ll have to write a research paper. Research papers tend to be extensive in length and require a lot of, well, you guessed it, research! Knowing how to develop a research question is the first step to writing a successful research paper.

Developing a research question takes time in itself, as well as multiple additional considerations. Before we jump into how to create your perfect research question, let’s define what a research question is and what makes one strong.

Photo by Dan Dimmock on Unsplash

What is a research question.

As the name implies, a research question is the question you ask that you will then answer through research.

Most research papers tend to be lengthy, so it helps to come up with a research question that can open the door to a lot of information. At the same time, you don’t want to be too open with your question because then it becomes harder to write a concise and focused paper.

With this in mind, a good research question should have these attributes:

• Clear: The question shouldn’t require additional explanation because it is easily understandable. Your audience may range from people who are very familiar with the topic to those who may know nothing at all. You’ll want the question to be understood by all those who read your paper.
• Focused: The question should be narrow enough such that the research paper gives you enough space to fully answer the question. If you ask something too general, you’ll have trouble fitting the data and response into a constrained paper.
• Researchable: You should be able to conduct interviews, surveys or leverage past data and information to answer the question.
• Feasible: You are able to answer it in a given timeframe and with the resources you have available.
• Concise: You can pose the question as one that is short and to the point.
• Complex: There is enough information and data to be able to write an entire paper on the subject to answer the question.
• Arguable: As the writer, you should be able to take a stance on the topic and argue why it’s right.
• Relevant: It should relate to the subject you’re studying or the major you’re pursuing.

Why Does Your Research Question Matter In The Research Process?

Think about it like this — a research question is the foundation and basis of all the work you put in to write a research paper. It helps to narrow and focus your findings to answer something specific, rather than going off topic and writing all about irrelevant information.

Types Of Research Questions

Depending on your subject matter or area of interest, one type of research question may better suit your needs. If your prompt is open-ended and you get to choose your own research question, you can select from these common types of research questions:

• Descriptive: These research questions answer when, where, why or how something happened. They will require data and statistics around an event or phenomenon.
• Comparative: A comparative question studies the differences between one thing and another.
• Correlational: This type of question asks how one thing is related to another.
• Exploratory: An exploratory question is used to better understand a topic.
• Evaluation: Also known as program evaluation, this is a question that aims to answer what something is and why it’s done that way.
• Action: This type of question evaluates what happened and how an action may be improved.

6 Steps To Develop A Research Question

Based on your subject matter and the research paper prompt, you may have a clear idea on what type of research question to ask.

No matter what type of research you will conduct, formulating your research question can consist of these steps:

1. Choose Your Topic

Start by choosing your topic. Maybe you’ve been guided as to what you will research. But, if not, you’ll want to pick something that you are actually interested in learning about. To be able to narrow in on a specific question, you’ll want to start broad and then conduct preliminary research.

2. Do Some Early Research

Early research will help you to check if the research question is feasible. You can start by looking online at the topic and see what others are researching with regard to that subject matter.

3. Consider Your Audience

When creating your question, you’ll want to think about your audience. Since it’s likely to be academic, you need to frame your question formally.

4. Ask Questions

As you learn more about your topic through early research, you can ask yourself questions like how and why things are the way they are.

5. Evaluate Your Question

Only after you’ve started posing questions can you evaluate their merit. You can check to see that your question upholds the characteristics of a good research question (i.e. concise, clear, feasible, etc.)

6. Start Researching

Once you have your question ready to go, think about the best ways to answer it. Begin researching the type of information that exists or create your own experiment or survey to collect data, if possible.

Sample Research Questions

Here are some examples of broad research questions, compared to their better, more focused alternatives.

• Broad: “How has climate change affected animals?”
• Focused: “What effect does rising sea levels have on the food chain of marine animals?”
• Broad: “Does social media negatively affect people?”
• Focused: “How has Instagram affected teenage girl’s emotional states?”
• Broad: “Do men and women have different results from working out?”
• Focused: “Do men lose weight faster than women when working out daily?”

General Research Paper Writing Tips

Once you feel comfortable with your research question, you can begin writing your academic research paper.

Keep in mind these useful writing tips :

• Conduct strong research by leveraging research skills
• Organize your thoughts with an outline
• Note all your sources
• Write a first draft
• Reread and edit your first draft
• Ask a friend or colleague to proofread your paper before submitting

Your Research Question Is the Foundation

When you create a concise, focused, and arguable research question, you are setting yourself up to be able to write a strong research paper.

In most academic settings, you will be required to write a research paper. This is especially true when it comes to earning your secondary degrees in college. Developing a research question is one of the most important steps in the entire writing process.

Remember to take your time, and don’t be afraid to ask for feedback!

Related Articles

Think Like a Researcher: Instruction Resources: #6 Developing Successful Research Questions

• Guide Organization
• Overall Summary
• #1 Think Like a Researcher!
• #2 How to Read a Scholarly Article
• #3 Reading for Keywords (CREDO)
• #4 Using Google for Academic Research
• #4 Using Google for Academic Research (Alternate)
• #5 Integrating Sources
• Research Question Discussion
• #7 Avoiding Researcher Bias
• #8 Understanding the Information Cycle
• #9 Exploring Databases
• #10 Library Session
• #11 Post Library Session Activities
• Summary - Readings
• Summary - Research Journal Prompts
• Summary - Key Assignments
• Jigsaw Readings
• Permission Form

Course Learning Outcome:   Develop ability to synthesize and express complex ideas; demonstrate information literacy and be able to work with evidence

Goal:  Develop students’ ability to recognize and create successful research questions

Specifically, students will be able to

• identify the components of a successful research question.
• create a viable research question.

What Makes a Good Research Topic Handout

These handouts are intended to be used as a discussion generator that will help students develop a solid research topic or question. Many students start with topics that are poorly articulated, too broad, unarguable, or are socially insignificant. Each of these problems may result in a topic that is virtually un-researchable. Starting with a researchable topic is critical to writing an effective paper.

Research shows that students are much more invested in writing when they are able to choose their own topics. However, there is also research to support the notion that students are completely overwhelmed and frustrated when they are given complete freedom to write about whatever they choose. Providing some structure or topic themes that allow students to make bounded choices may be a way mitigate these competing realities.

These handouts can be modified or edited for your purposes.  One can be used as a handout for students while the other can serve as a sample answer key.  The document is best used as part of a process.  For instance, perhaps starting with discussing the issues and potential research questions, moving on to problems and social significance but returning to proposals/solutions at a later date.

• Research Questions - Handout Key (2 pgs) This document is a condensed version of "What Makes a Good Research Topic". It serves as a key.
• Research Questions - Handout for Students (2 pgs) This document could be used with a class to discuss sample research questions (are they suitable?) and to have them start thinking about problems, social significance, and solutions for additional sample research questions.
• Research Question Discussion This tab includes materials for introduction students to research question criteria for a problem/solution essay.

Additional Resources

These documents have similarities to those above.  They represent original documents and conversations about research questions from previous TRAIL trainings.

• What Makes a Good Research Topic? - Original Handout (4 pgs)
• What Makes a Good Research Topic? Revised Jan. 2016 (4 pgs)
• What Makes a Good Research Topic? Revised Jan 2016 with comments

Topic Selection (NCSU Libraries)

Howard, Rebecca Moore, Tricia Serviss, and Tanya K. Rodrigues. " Writing from sources, writing from sentences ." Writing & Pedagogy 2.2 (2010): 177-192.

Research Journal

Assign after students have participated in the Developing Successful Research Topics/Questions Lesson OR have drafted a Research Proposal.

Think about your potential research question.

• What is the problem that underlies your question?
• Is the problem of social significance? Explain.
• Is your proposed solution to the problem feasible? Explain.
• Do you think there is evidence to support your solution?

Keys for Writers - Additional Resource

Keys for Writers (Raimes and Miller-Cochran) includes a section to guide students in the formation of an arguable claim (thesis).  The authors advise students to avoid the following since they are not debatable. 

• "a neutral statement, which gives no hint of the writer's position"
• "an announcement of the paper's broad subject"
• "a fact, which is not arguable"
• "a truism (statement that is obviously true)"
• "a personal or religious conviction that cannot be logically debated"
• "an opinion based only on your feelings"
• "a sweeping generalization" (Section 4C, pg. 52)

The book also provides examples and key points (pg. 53) for a good working thesis.

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1-Research Questions

Developing Your Research Question

Because of all their influence, you might worry that research questions are very difficult to develop. Sometimes it can seem that way. But we’ll help you get the hang of it and, luckily, none of us has to come up with perfect ones right off. It’s more like doing a rough draft and then improving it. That’s why we talk about developing research questions instead of just writing them.

Steps for Developing a Research Question

The steps for developing a research question, listed below, can help you organize your thoughts.

Step 1: Pick a topic (or consider the one assigned to you).

Step 2: Write a narrower/smaller topic that is related to the first.

Step 3: List some potential questions that could logically be asked in relation to the narrow topic.

Step 4: Pick the question that you are most interested in.

Step 5: Change that question you’re interested in so that it is more focused.

MOVIE: Developing Research Questions

As you view this short video on how to develop research questions, think about the steps. Which step do you think is easiest? Which do you think is hardest? [iframe src=”https://www.youtube.com/embed/1oJNO6PYZe4″ width=”560″ height=”315″ allowfullscreen=”allowfullscreen”]

View Movie | View Text Version

Once you know the steps and their order, only three skills are involved in developing a research question:

• Imagining narrower topics about a larger one,
• Thinking of questions that stem from a narrow topic, and
• Focusing questions to eliminate their vagueness.

Every time you use these skills, it’s important to evaluate what you have produced—that’s just part of the process of turning rough drafts into more finished products.

ACTIVITY:  Developing a Research Question

Open activity in a web browser.

Maybe you have a topic in mind, but aren’t sure how to form a research question around it. The trick is to think of a question related to your topic, but not answerable with a quick search. Also, try to be specific so that your research question can be fully answered in the final product for your research assignment.

ACTIVITY: Thinking of Questions

For each of the narrow topics below, think of a research question that is logically related to that topic. (Remember that good research questions often, but not always, start with “Why” or “How” because questions that begin that way usually require more analysis.)

• U.S. investors’ attitudes about sustainability
• College students’ use of Snapchat
• The character Scout in To Kill a Mockingbird
• Nature-inspired nanotechnologies
• Marital therapy

After you think of each research question, evaluate it by asking whether it is:

• Logically related to the topic
• In question form
• Not answerable with a quick Google search
• Specific, not vague

Sometimes the first draft of a research question is still too broad, which can make your search for sources more challenging. Refining your question to remove vagueness or to target a specific aspect of the topic can help.

ACTIVITY: Focusing Questions

The first draft research questions below are not focused enough. Read them and identify at least one area of vagueness in each. Check your vagueness with what we identified. It’s great if you found more than we did because that can lead to research questions of greater specificity. See the bottom of the page for the answers.

First Drafts of Research Questions:

• Why have most electric car company start-ups failed?
• How do crabapple trees develop buds?
• How has NASA helped America?
• Why do many first-time elections soon after a country overthrows a dictator result in very conservative elected leaders?
• How is music composed and performed mostly by African-Americans connected to African-American history?

ANSWER TO ACTIVITY: Focusing Questions

Some answers to the “Focusing Questions” Activity above are:

Question 1: Why have most electric car company start-ups failed? Vagueness: Which companies are we talking about? Worldwide or in a particular country?

Question 2: How do crabapple trees develop buds? Vagueness: There are several kinds of crabapples. Should we talk only about one kind? Does it matter where the crabapple tree lives?

Question 3: How has NASA helped America? Vagueness: NASA has had many projects. Should we should focus on one project they completed? Or projects during a particular time period?

Question 4: Why do many first-time elections soon after a country overthrows a dictator result in very conservative elected leaders? Vagueness: What time period are we talking about? Many dictators have been overthrown and many countries have been involved. Perhaps we should focus on one country or one dictator or one time period.

Question 5: How is music composed and performed mostly by African-Americans connected to African-American history? Vagueness: What kinds of music? Any particular performers and composers? When?

Choosing & Using Sources: A Guide to Academic Research by Teaching & Learning, Ohio State University Libraries is licensed under a Creative Commons Attribution 4.0 International License , except where otherwise noted.

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Research Question

Ai generator.

A research question serves as the foundation of any academic study, driving the investigation and framing the scope of inquiry. It focuses the research efforts, ensuring that the study addresses pertinent issues systematically. Crafting a strong research question is essential as it directs the methodology, data collection, and analysis, ultimately shaping the study’s conclusions and contributions to the field.

What is a Research Question?

A research question is the central query that guides a study, focusing on a specific problem or issue. It defines the purpose and direction of the research, influencing the methodology and analysis. A well-crafted research question ensures the study remains relevant, systematic, and contributes valuable insights to the field.

Types of Research Questions

Research questions are a crucial part of any research project. They guide the direction and focus of the study. Here are the main types of research questions:

1. Descriptive Research Questions

These questions aim to describe the characteristics or functions of a specific phenomenon or group. They often begin with “what,” “who,” “where,” “when,” or “how.”

• What are the common symptoms of depression in teenagers?

2. Comparative Research Questions

These questions compare two or more groups or variables to identify differences or similarities.

• How do the academic performances of students in private schools compare to those in public schools?

3. Correlational Research Questions

These questions seek to identify the relationships between two or more variables. They often use terms like “relationship,” “association,” or “correlation.”

• Is there a relationship between social media usage and self-esteem among adolescents?

4. Causal Research Questions

These questions aim to determine whether one variable causes or influences another. They are often used in experimental research.

• Does a new teaching method improve student engagement in the classroom?

5. Exploratory Research Questions

These questions are used when the researcher is exploring a new area or seeking to understand a complex phenomenon. They are often open-ended.

• What factors contribute to the success of start-up companies in the tech industry?

6. Predictive Research Questions

These questions aim to predict future occurrences based on current or past data. They often use terms like “predict,” “forecast,” or “expect.”

• Can high school GPA predict college success?

7. Evaluative Research Questions

These questions assess the effectiveness or impact of a program, intervention, or policy .

• How effective is the new community outreach program in reducing homelessness?

8. Ethnographic Research Questions

These questions are used in qualitative research to understand cultural phenomena from the perspective of the participants.

• How do cultural beliefs influence healthcare practices in rural communities?

9. Case Study Research Questions

These questions focus on an in-depth analysis of a specific case, event, or instance.

• What were the critical factors that led to the failure of Company X?

10. Phenomenological Research Questions

These questions explore the lived experiences of individuals to understand a particular phenomenon.

• What is the experience of living with chronic pain?

Research Question Format

A well-formulated research question is essential for guiding your study effectively. Follow this format to ensure clarity and precision:

• Begin with a broad subject area.
• Example: “Education technology”
• Define a specific aspect or variable.
• Example: “Impact of digital tools”
• Decide if you are describing, comparing, or investigating relationships.
• Example: “Effectiveness”
• Identify who or what is being studied.
• Example: “High school students”
• Formulate the complete question.
• Example: “How effective are digital tools in enhancing the learning experience of high school students?”

Sample Format: “How [specific aspect] affects [target population] in [context]?” Example: “How does the use of digital tools affect the academic performance of high school students in urban areas?”

Research Question Examples

Research questions in business.

• “What are the primary factors influencing customer loyalty in the retail industry?”
• “How does employee satisfaction differ between remote work and in-office work environments in tech companies?”
• “What is the relationship between social media marketing and brand awareness among small businesses?”
• “How does implementing a four-day workweek impact productivity in consulting firms?”
• “What are the emerging trends in consumer behavior post-COVID-19 in the e-commerce sector?”
• “Why do some startups succeed in attracting venture capital while others do not?”
• “How effective is corporate social responsibility in enhancing brand reputation for multinational companies?”
• “How do decision-making processes in family-owned businesses differ from those in publicly traded companies?”
• “What strategies do successful entrepreneurs use to scale their businesses in competitive markets?”
• “How does supply chain management affect the operational efficiency of manufacturing firms?”

Research Questions in Education

• “What are the most common challenges faced by first-year teachers in urban schools?”
• “How do student achievement levels differ between traditional classrooms and blended learning environments?”
• “What is the relationship between parental involvement and student academic performance in elementary schools?”
• “How does the implementation of project-based learning affect critical thinking skills in middle school students?”
• “What are the emerging trends in the use of artificial intelligence in education?”
• “Why do some students perform better in standardized tests than others despite similar instructional methods?”
• “How effective is the flipped classroom model in improving student engagement and learning outcomes in high school science classes?”
• “How do teachers’ professional development programs impact teaching practices and student outcomes in rural schools?”
• “What strategies can be employed to reduce the dropout rate among high school students in low-income areas?”
• “How does classroom size affect the quality of teaching and learning in elementary schools?”

Research Questions in Health Care

• “What are the most common barriers to accessing mental health services in rural areas?”
• “How does patient satisfaction differ between telemedicine and in-person consultations in primary care?”
• “What is the relationship between diet and the incidence of type 2 diabetes in adults?”
• “How does regular physical activity influence the recovery rate of patients with cardiovascular diseases?”
• “What are the emerging trends in the use of wearable technology for health monitoring?”
• “Why do some patients adhere to their medication regimen while others do not despite similar health conditions?”
• “How effective are community-based health interventions in reducing obesity rates among children?”
• “How do interdisciplinary team meetings impact patient care in hospitals?”
• “What strategies can be implemented to reduce the spread of infectious diseases in healthcare settings?”
• “How does nurse staffing level affect patient outcomes in intensive care units?”

Research Questions in Computer Science

• “What are the key features of successful machine learning algorithms used in natural language processing?”
• “How does the performance of quantum computing compare to classical computing in solving complex optimization problems?”
• “What is the relationship between software development methodologies and project success rates in large enterprises?”
• “How does the implementation of cybersecurity protocols impact the frequency of data breaches in financial institutions?”
• “What are the emerging trends in blockchain technology applications beyond cryptocurrency?”
• “Why do certain neural network architectures outperform others in image recognition tasks?”
• “How effective are different code review practices in reducing bugs in open-source software projects?”
• “How do agile development practices influence team productivity and product quality in software startups?”
• “What strategies can improve the scalability of distributed systems in cloud computing environments?”
• “How does the choice of programming language affect the performance and maintainability of enterprise-level software applications?”

Research Questions in Psychology

• “What are the most common symptoms of anxiety disorders among adolescents?”
• “How does the level of job satisfaction differ between remote workers and in-office workers?”
• “What is the relationship between social media use and self-esteem in teenagers?”
• “How does cognitive-behavioral therapy (CBT) affect the severity of depression symptoms in adults?”
• “What are the emerging trends in the treatment of post-traumatic stress disorder (PTSD)?”
• “Why do some individuals develop resilience in the face of adversity while others do not?”
• “How effective are mindfulness-based interventions in reducing stress levels among college students?”
• “How does group therapy influence the social skills development of children with autism spectrum disorder?”
• “What strategies can improve the early diagnosis of bipolar disorder in young adults?”
• “How do sleep patterns affect cognitive functioning and academic performance in high school students?”

More Research Question Examples

Research question examples for students.

• “What are the primary study habits of high-achieving college students?”
• “How do academic performances differ between students who participate in extracurricular activities and those who do not?”
• “What is the relationship between time management skills and academic success in high school students?”
• “How does the use of technology in the classroom affect students’ engagement and learning outcomes?”
• “What are the emerging trends in online learning platforms for high school students?”
• “Why do some students excel in standardized tests while others struggle despite similar study efforts?”
• “How effective are peer tutoring programs in improving students’ understanding of complex subjects?”
• “How do different teaching methods impact the learning process of students with learning disabilities?”
• “What strategies can help reduce test anxiety among middle school students?”
• “How does participation in group projects affect the development of collaboration skills in university students?”

Research Question Examples for College Students

• “What are the most common stressors faced by college students during final exams?”
• “How does academic performance differ between students who live on campus and those who commute?”
• “What is the relationship between part-time employment and GPA among college students?”
• “How does participation in study abroad programs impact cultural awareness and academic performance?”
• “What are the emerging trends in college students’ use of social media for academic purposes?”
• “Why do some college students engage in academic dishonesty despite awareness of the consequences?”
• “How effective are university mental health services in addressing students’ mental health issues?”
• “How do different learning styles affect the academic success of college students in online courses?”
• “What strategies can be employed to improve retention rates among first-year college students?”
• “How does participation in extracurricular activities influence leadership skills development in college students?”

Research Question Examples in Statistics

• “What are the most common statistical methods used in medical research?”
• “How does the accuracy of machine learning models compare to traditional statistical methods in predicting housing prices?”
• “What is the relationship between sample size and the power of a statistical test in clinical trials?”
• “How does the use of random sampling affect the validity of survey results in social science research?”
• “What are the emerging trends in the application of Bayesian statistics in data science?”
• “Why do some datasets require transformation before applying linear regression models?”
• “How effective are bootstrapping techniques in estimating the confidence intervals of small sample data?”
• “How do different imputation methods impact the results of analyses with missing data?”
• “What strategies can improve the interpretation of interaction effects in multiple regression analysis?”
• “How does the choice of statistical software affect the efficiency of data analysis in academic research?”

Research Question Examples in Socialogy

• “What are the primary social factors contributing to urban poverty in major cities?”
• “How does the level of social integration differ between immigrants and native-born citizens in urban areas?”
• “What is the relationship between educational attainment and social mobility in different socioeconomic classes?”
• “How does exposure to social media influence political participation among young adults?”
• “What are the emerging trends in family structures and their impact on child development?”
• “Why do certain communities exhibit higher levels of civic engagement than others?”
• “How effective are community policing strategies in reducing crime rates in diverse neighborhoods?”
• “How do socialization processes differ in single-parent households compared to two-parent households?”
• “What strategies can be implemented to reduce racial disparities in higher education enrollment?”
• “How does the implementation of public housing policies affect the quality of life for low-income families?”

Research Question Examples in Biology

• “What are the primary characteristics of the various stages of mitosis in eukaryotic cells?”
• “How do the reproductive strategies of amphibians compare to those of reptiles?”
• “What is the relationship between genetic diversity and the resilience of plant species to climate change?”
• “How does the presence of pollutants in freshwater ecosystems impact the growth and development of aquatic organisms?”
• “What are the emerging trends in the use of CRISPR technology for gene editing in agricultural crops?”
• “Why do certain bacteria develop antibiotic resistance more rapidly than others?”
• “How effective are different conservation strategies in protecting endangered species?”
• “How do various environmental factors influence the process of photosynthesis in marine algae?”
• “What strategies can enhance the effectiveness of reforestation programs in tropical rainforests?”
• “How does the method of seed dispersal affect the spatial distribution and genetic diversity of plant populations?”

Research Question Examples in History

• “What were the key social and economic factors that led to the Industrial Revolution in Britain?”
• “How did the political systems of ancient Athens and ancient Sparta differ in terms of governance and citizen participation?”
• “What is the relationship between the Renaissance and the subsequent scientific revolution in Europe?”
• “How did the Treaty of Versailles contribute to the rise of Adolf Hitler and the onset of World War II?”
• “What are the emerging perspectives on the causes and impacts of the American Civil Rights Movement?”
• “Why did the Roman Empire decline and eventually fall despite its extensive power and reach?”
• “How effective were the New Deal programs in alleviating the effects of the Great Depression in the United States?”
• “How did the processes of colonization and decolonization affect the political landscape of Africa in the 20th century?”
• “What strategies did the suffragette movement use to secure voting rights for women in the early 20th century?”
• “How did the logistics and strategies of the D-Day invasion contribute to the Allied victory in World War II?”

Importance of Research Questions

Research questions are fundamental to the success and integrity of any study. Their importance can be highlighted through several key aspects:

• Research questions provide a clear focus and direction for the study, ensuring that the researcher remains on track.
• Example: “How does online learning impact student engagement in higher education?”
• They establish the boundaries of the research, determining what will be included or excluded.
• Example: “What are the effects of air pollution on respiratory health in urban areas?”
• Research questions dictate the choice of research design, methodology, and data collection techniques.
• Example: “What is the relationship between physical activity and mental health in adolescents?”
• They make the objectives of the research explicit, providing clarity and precision to the study’s goals.
• Example: “Why do some startups succeed in securing venture capital while others fail?”
• Well-crafted research questions emphasize the significance and relevance of the study, justifying its importance.
• Example: “How effective are public health campaigns in increasing vaccination rates among young adults?”
• They enable a systematic approach to inquiry, ensuring that the study is coherent and logically structured.
• Example: “What are the social and economic impacts of remote work on urban communities?”
• Research questions offer a framework for analyzing and interpreting data, guiding the researcher in making sense of the findings.
• Example: “How does social media usage affect self-esteem among teenagers?”
• By addressing specific gaps or exploring new areas, research questions ensure that the study contributes meaningfully to the existing body of knowledge.
• Example: “What are the emerging trends in the use of artificial intelligence in healthcare?”
• Clear and precise research questions increase the credibility and reliability of the research by providing a focused approach.
• Example: “How do educational interventions impact literacy rates in low-income communities?”
• They help in clearly communicating the purpose and findings of the research to others, including stakeholders, peers, and the broader academic community.
• Example: “What strategies are most effective in reducing youth unemployment in developing countries?”

Research Question vs. Hypothesis

Chracteristics of research questions.

Research questions are fundamental to the research process as they guide the direction and focus of a study. Here are the key characteristics of effective research questions:

1. Clear and Specific

• The question should be clearly articulated and specific enough to be understood without ambiguity.
• Example: “What are the effects of social media on teenagers’ mental health?” rather than “How does social media affect people?”

2. Focused and Researchable

• The question should be narrow enough to be answerable through research and data collection.
• Example: “How does participation in extracurricular activities impact academic performance in high school students?” rather than “How do activities affect school performance?”

3. Complex and Analytical

• The question should require more than a simple yes or no answer and should invite analysis and discussion.
• Example: “What factors contribute to the success of renewable energy initiatives in urban areas?” rather than “Is renewable energy successful?”

4. Relevant and Significant

• The question should address an important issue or problem in the field of study and contribute to knowledge or practice.
• Example: “How does climate change affect agricultural productivity in developing countries?” rather than “What is climate change?”

5. Feasible and Practical

• The question should be feasible to answer within the constraints of time, resources, and access to information.
• Example: “What are the challenges faced by remote workers in the tech industry during the COVID-19 pandemic?” rather than “What are the challenges of remote work?”

6. Original and Novel

• The question should offer a new perspective or explore an area that has not been extensively studied.
• Example: “How do virtual reality technologies influence empathy in healthcare training?” rather than “What is virtual reality?”
• The question should be framed in a way that ensures the research can be conducted ethically.
• Example: “What are the impacts of privacy laws on consumer data protection in the digital age?” rather than “How can we collect personal data more effectively?”

8. Open-Ended

• The question should encourage detailed responses and exploration, rather than limiting answers to a simple yes or no.
• Example: “In what ways do cultural differences affect communication styles in multinational companies?” rather than “Do cultural differences affect communication?”

9. Aligned with Research Goals

• The question should align with the overall objectives of the research project or study.
• Example: “How do early childhood education programs influence long-term academic achievement?” if the goal is to understand educational impacts.

10. Based on Prior Research

• The question should build on existing literature and research, identifying gaps or new angles to explore.
• Example: “What strategies have proven effective in reducing urban air pollution in European cities?” after reviewing current studies on air pollution strategies.

Benefits of Research Question

Research questions are fundamental to the research process and offer numerous benefits, which include the following:

1. Guides the Research Process

A well-defined research question provides a clear focus and direction for your study. It helps in determining what data to collect, how to collect it, and how to analyze it.

Benefit: Ensures that the research stays on track and addresses the specific issue at hand.

2. Clarifies the Purpose of the Study

Research questions help to articulate the purpose and objectives of the study. They make it clear what the researcher intends to explore, describe, compare, or test.

Benefit: Helps in communicating the goals and significance of the research to others, including stakeholders and funding bodies.

3. Determines the Research Design

The type of research question informs the research design, including the choice of methodology, data collection methods, and analysis techniques.

Benefit: Ensures that the chosen research design is appropriate for answering the specific research question, enhancing the validity and reliability of the results.

4. Enhances Literature Review

A well-crafted research question provides a framework for conducting a thorough literature review. It helps in identifying relevant studies, theories, and gaps in existing knowledge.

Benefit: Facilitates a comprehensive understanding of the topic and ensures that the research is grounded in existing literature.

5. Focuses Data Collection

Research questions help in identifying the specific data needed to answer them. This focus prevents the collection of unnecessary data and ensures that all collected data is relevant to the study.

Benefit: Increases the efficiency of data collection and analysis, saving time and resources.

6. Improves Data Analysis

Having a clear research question aids in the selection of appropriate data analysis methods. It helps in determining how the data will be analyzed to draw meaningful conclusions.

Benefit: Enhances the accuracy and relevance of the findings, making them more impactful.

7. Facilitates Hypothesis Formation

In quantitative research, research questions often lead to the development of hypotheses that can be tested statistically.

Benefit: Provides a basis for hypothesis testing, which is essential for establishing cause-and-effect relationships.

8. Supports Result Interpretation

Research questions provide a lens through which the results of the study can be interpreted. They help in understanding what the findings mean in the context of the research objectives.

Benefit: Ensures that the conclusions drawn from the research are aligned with the original aims and objectives.

9. Enhances Reporting and Presentation

A clear research question makes it easier to organize and present the research findings. It helps in structuring the research report or presentation logically.

Benefit: Improves the clarity and coherence of the research report, making it more accessible and understandable to the audience.

10. Encourages Critical Thinking

Formulating research questions requires critical thinking and a deep understanding of the subject matter. It encourages researchers to think deeply about what they want to investigate and why.

Benefit: Promotes a more thoughtful and analytical approach to research, leading to more robust and meaningful findings.

How to Write a Research Question

Crafting a strong research question is crucial for guiding your study effectively. Follow these steps to write a clear and focused research question:

Identify a Broad Topic:

Start with a general area of interest that you are passionate about or that is relevant to your field. Example: “Climate change”

Conduct Preliminary Research:

Explore existing literature and studies to understand the current state of knowledge and identify gaps. Example: “Impact of climate change on agriculture”

Narrow Down the Topic:

Focus on a specific aspect or issue within the broad topic to make the research question more manageable. Example: “Effect of climate change on crop yields”

Consider the Scope:

Ensure the question is neither too broad nor too narrow. It should be specific enough to be answerable but broad enough to allow for thorough exploration. Example: “How does climate change affect corn crop yields in the Midwest United States?”

Determine the Research Type:

Decide whether your research will be descriptive, comparative, relational, or causal, as this will shape your question. Example: “How does climate change affect corn crop yields in the Midwest United States over the past decade?”

Formulate the Question:

Write a clear, concise question that specifies the variables, population, and context. Example: “What is the impact of increasing temperatures and changing precipitation patterns on corn crop yields in the Midwest United States from 2010 to 2020?”

Ensure Feasibility:

Make sure the question can be answered within the constraints of your resources, time, and data availability. Example: “How have corn crop yields in the Midwest United States been affected by climate change-related temperature increases and precipitation changes between 2010 and 2020?”

Review and Refine:

Evaluate the question for clarity, focus, and relevance. Revise as necessary to ensure it is well-defined and researchable. Example: “What are the specific impacts of temperature increases and changes in precipitation patterns on corn crop yields in the Midwest United States from 2010 to 2020?”

What is a research question?

A research question is a specific query guiding a study’s focus and objectives, shaping its methodology and analysis.

Why is a research question important?

It provides direction, defines scope, ensures relevance, and guides the methodology of the research.

How do you formulate a research question?

Identify a topic, narrow it down, conduct preliminary research, and ensure it is clear, focused, and researchable.

What makes a good research question?

Clarity, specificity, feasibility, relevance, and the ability to guide the research effectively.

Can a research question change?

Yes, it can evolve based on initial findings, further literature review, and the research process.

What is the difference between a research question and a hypothesis?

A research question guides the study; a hypothesis is a testable prediction about the relationship between variables.

How specific should a research question be?

It should be specific enough to provide clear direction but broad enough to allow for comprehensive investigation.

What are examples of good research questions?

Examples include: “How does social media affect academic performance?” and “What are the impacts of climate change on agriculture?”

Can a research question be too broad?

Yes, a too broad question can make the research unfocused and challenging to address comprehensively.

What role does a research question play in literature reviews?

It helps identify relevant studies, guides the search for literature, and frames the review’s focus.

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• Published: 25 May 2024

Neither right nor wrong? Ethics of collaboration in transformative research for sustainable futures

• Julia M. Wittmayer   ORCID: orcid.org/0000-0002-4738-6276 1 , 2 ,
• Ying-Syuan (Elaine) Huang 3 ,
• Kristina Bogner   ORCID: orcid.org/0000-0002-1871-9828 4 ,
• Evan Boyle 5 ,
• Katharina Hölscher 6 ,
• Timo von Wirth 2 , 7 ,
• Tessa Boumans 2 ,
• Jilde Garst 8 ,
• Yogi Hale Hendlin 9 ,
• Mariangela Lavanga   ORCID: orcid.org/0000-0001-5925-9509 10 ,
• Derk Loorbach 1 ,
• Neha Mungekar   ORCID: orcid.org/0000-0002-4663-0716 1 , 2 ,
• Mapula Tshangela 11 ,
• Pieter Vandekerckhove 12 &
• Ana Vasques 13  

Humanities and Social Sciences Communications volume  11 , Article number:  677 ( 2024 ) Cite this article

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• Environmental studies
• Science, technology and society

Transformative research is a broad and loosely connected family of research disciplines and approaches, with the explicit normative ambition to fundamentally question the status quo, change the dominant structures, and support just sustainability transitions by working collaboratively with society. When engaging in such science-practice collaborations for transformative change in society, researchers experience ethical dilemmas. Amongst others, they must decide, what is worthwhile to be researched, whose reality is privileged, and whose knowledge is included. Yet, current institutionalised ethical standards, which largely follow the tradition of medical ethics, are insufficient to guide transformative researchers in navigating such dilemmas. In addressing this vacuum, the research community has started to develop peer guidance on what constitutes morally good behaviour. These formal and informal guidelines offer a repertoire to explain and justify positions and decisions. However, they are only helpful when they have become a part of researchers’ practical knowledge ‘in situ’. By focusing on situated research practices, the article addresses the need to develop an attitude of leaning into the uncertainty around what morally good behaviour constitutes. It also highlights the significance of combining this attitude with a critical reflexive practice both individually and collaboratively for answering questions around ‘how to’ as well as ‘what is the right thing to do’. Using a collaborative autoethnographic approach, the authors of this paper share their own ethical dilemmas in doing transformative research, discuss those, and relate them to a practical heuristic encompassing axiological, ontological, and epistemological considerations. The aim is to support building practical wisdom for the broader research community about how to navigate ethical questions arising in transformative research practice.

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Introduction.

There is a growing recognition that current research has failed to adequately address persistent societal challenges, which are complex, uncertain, and evaluative in nature (Ferraro et al., 2015 ; Loorbach et al., 2017 ; Saltelli et al., 2016 ). Along with this recognition come calls for science to help address these increasingly urgent and complex challenges faced at a global and local level, such as biodiversity loss, climate change, or social inequalities (Future Earth, 2014 ; Parks et al., 2019 ; WBGU, 2011 ). This call is echoed from within academia (Bradbury et al., 2019 ; Fazey et al., 2018 ; Norström et al., 2020 ) and has also translated into corresponding research funding (Arnott et al., 2020 ; Gerber et al., 2020 ; Vermeer et al., 2020 ). The fundamental premise is that addressing complex societal challenges requires more than disciplinary knowledge alone and extends beyond the confines of academia (Gibbons et al., 1994 ; Hirsch Hadorn et al., 2008 ; Lang et al., 2012 ). That is, addressing them necessitates interactive knowledge co-production and social learning with societal actors to produce actionable and contextually embedded knowledge for societal transformations (Chambers et al., 2021 ; Hessels et al., 2009 ; Schäpke et al., 2018 ). This trend has prompted a (re)surge of socially engaged approaches to research, including transdisciplinary research, phronetic social sciences, participatory research, action- and impact-oriented research, and transformative research. These approaches involve collaboration between academics and various societal stakeholders, such as policymakers, communities, enterprises, and civil society organisations.

However, often, such socially engaged research approaches are at odds with the institutional traditions designed for monodisciplinary knowledge production. Transformative research, for instance, does not claim an objective observer position; instead, it explicitly embraces a normative orientation. Its goal, as many have argued, is to facilitate transformative societal change towards justice and sustainability by recognising and addressing the deep and persistent socio-ecological challenges inherent in our current society (Mertens, 2007 ; Wittmayer et al., 2021 ). This motive to transform existing systems through collaborative research, in our view, obliges researchers to be more critical and vigilant in their decisions (Fazey et al., 2018 ). As we will present later in this paper, many of these decisions constitute ethical dilemmas, such as who decides what ‘good’ research is, whose knowledge to prioritise, or who should engage and under which circumstances. These ethical dilemmas are only poorly addressed by the ethical review processes in place at most universities, which remain dominated by linear and positivist framings of knowledge production and research design (Wood and Kahts-Kramer, 2023 ). Consequently, transformative researchers are often left struggling to choose “ between doing good (being ethically responsive to the people being researched) and doing good research (maintaining pre-approved protocols) ” (Macleod et al., 2018 , p. 10). The translation of the values and principles of transformative research into formal and informal ethical guidelines is only starting (Caniglia et al., 2023 ; Fazey et al., 2018 ; West and Schill, 2022 ).

Confronting these ethical dilemmas calls for greater reflexivity and dialogue with ourselves, among researchers, between researchers and their collaborators (including funders and professionals), and between researchers and the institutions within which they operate (Finlay, 2002 ; Horcea-Milcu et al., 2022 ; Pearce et al., 2022 ). Attesting to this call, the authors of this paper engaged in a ‘collaborative autoethnography’ (Lapadat, 2017 ; Miyahara & Fukao, 2022 ; Phillips et al., 2022 ) to explore the following research question: Which ethical dilemmas do researchers face in research collaborations that seek to catalyse transformations? And how do they navigate these in their collaborative practice? Thus, as an interdisciplinary group of researchers affiliated with academic research institutes, we shared, compared, and discussed our experiences concerning ethical dilemmas in our transformative research endeavours. In these discussions, we considered our interactions, engagements, and relationships with collaborators along with how institutional rules and norms influence or constrain our practices and relations.

This paper begins with an overview of transformative research and the challenges that arise when working collaboratively. It also testifies to the formal and informal attempts to support researchers in navigating those challenges (“Ethics in transformative research”). From there, we develop the argument that formal or informal guidelines are most meaningful when they have become a part of the practical wisdom of researchers. When they are, they support researchers in leaning into the uncertainty of what constitutes morally good behaviour and in navigating collaboration ‘in situ’. Inspired by Mertens ( 2017 ), we relate our own dilemmas to the three philosophical commitments that comprise a research paradigm: axiology, ontology, and epistemology (“Transformative research practice investigated through collaborative autoethnography”, also for an elaboration of the terms). We share concrete dilemmas while embedding and relating them to a broader body of knowledge around similar dilemmas and questions (“Collaboration in transformative research practice”). We close the paper by pointing to the importance of bottom-up ethics and the need to embed those into revalued and redesigned ethical standards, processes, and assessments that can provide external guidance and accountability (“Concluding thoughts”).

Ethics in transformative research

In this section, we first introduce transformative research (TR) in terms of its underlying values and its ontological and epistemological premises (Mertens, 2007 , 2017 ) (“Introducing transformative research”). We then connect it to its institutional context, where ethical standards and procedures fit the linear production of knowledge, leading to tensions with TR practices (“Institutional context: Formal ethical standards and processes”). Finally, we outline how the research community tries to address this misfit and the felt need for understanding what constitutes morally ‘right’ behaviour by providing peer guidance on the ethical conduct of TR (“Peer context: Informal heuristics for transformative research”).

Introducing transformative research

TR refers to a broad and loosely connected family of research disciplines and approaches, with the explicit normative ambition to fundamentally question the status quo, change the dominant structures, and support just sustainability transitions (Hölscher et al., 2021 ; Jaeger-Erben et al., 2018 ; Mertens, 2021 ; Schneidewind et al., 2016 ; Wittmayer et al., 2021 ). Transformative researchers thus start from the basic premise that “ all researchers are essentially interveners ” (Fazey et al., 2018 , p. 63). Consequently, they are explicit about the kind of normative orientation of their interventions to further a social justice and environmental sustainability agenda. There is no denying the fact that such research approaches can also be used with a different normative mindset and value orientation, which will have other ethical consequences.

TR builds on methodological and theoretical pluralism that knits together kindred, or even conflicting, perspectives to complement disciplinary specialism (Hoffmann et al., 2017 ; Horcea-Milcu et al., 2022 ; Midgley, 2011 ). As such, it also comes as a diverse phenomenon, and where such diversity is “ not haphazard […] we must be cautious about developing all-embracing standards to differentiate the ‘good’ from the ‘bad ’” (Cassell and Johnson, 2006 , p. 783). Such an ontological stance involves letting go of the idea of absolute truth and the need to tightly control the research process and outcomes (van Breda and Swilling, 2019 ). Instead, TR encourages continuous societal learning to generate actionable knowledge and transformative action that manifests in real-world changes in behaviours, values, institutions, etc. (Bartels and Wittmayer, 2018 ; Hölscher et al., 2021 ). In doing so, TR is often based upon pragmatist assumptions about the ways knowledge and action inform one another, generating contingent knowledge in a process of action and experimentation (Harney et al., 2016 ; Popa et al., 2015 ). The research process serves as a means to assess ideas in practical application, blending a critical realist stance on socially constructed reality with acknowledging subjectivism and the existence of multiple realities (Cassell and Johnson, 2006 ).

TR also represents an epistemological shift from the notion of the distanced, presumably unbiased, and all-knowing researcher and recognises individuals as sense-makers, agency holders, and change agents (Horcea-Milcu et al., 2022 ; Hurtado, 2022 ). Collaboration enables the elicitation of different kinds of knowledge, including scientific knowledge across disciplines as well as phronetic and tacit knowledge from practice. It aims at capturing the plurality of knowing and doing that is relevant to specific contexts and actors (Frantzeskaki and Kabisch, 2016 ; Nugroho et al., 2018 ; Pohl, 2008 ). This sort of mutual social learning supports joint sense-making and experimental processes. These then invite us to rethink existing situations, (re)define desired futures, and (re)position short-term action (Fazey et al., 2018 ; Lotz-Sisitka et al., 2016 ; Schneider et al., 2019 ). The co-creation of knowledge and action can increase ownership, legitimacy, and accountability and can help facilitate trust-building among diverse societal groups (Hessels et al., 2009 ; Lang et al., 2012 ). The latter is an essential ingredient for tackling complex societal problems during times of discrediting science and the rise of populist, antidemocratic movements (Saltelli et al., 2016 ).

Institutional context: formal ethical standards and processes

The institutional environment is challenging for researchers engaging in TR for multiple reasons; one challenge is the formal ethical standards and processes. Current approaches to ethical assessment in social science emerged from several international conventions in the field of medical ethics (BMJ, 1996 ; General Assembly of the World Medical Association, 2014 ; National Commission for the Protection of Human Subjects of Biomedical, & Behavioural Research, 1979 ). Most formal research ethics reviews adopt the four principles of Beauchamp and Childress ( 2001 ), which include: (1) non-maleficence by attempting to not harm others; (2) respect for autonomy by attempting to provide information about the research that allows decisions to be taken; (3) beneficence by attempting to achieve useful outcomes outweighing the risks of participation; and (4) justice by attempting fairness in participation and distribution of benefits. These principles have found their way into formal ethical reviews, often practicing value-neutral and utilitarian ethics. This approach is debatable for TR approaches (Detardo-Bora, 2004 ) and seems more effective at protecting research institutions (foregrounding bureaucratically controllable compliance) than research participants (Christians, 2005 ). Indeed, many engaged in TR have raised concerns that neither these principles nor their formal translation account for the particularity, situatedness, epistemic responsibilities, and relationality that are key to the conduct and ethics of TR (Cockburn and Cundill, 2018 ; Lincoln, 2001 ; Parsell et al., 2014 ; Wijsman and Feagan, 2019 ). In the following paragraphs, we highlight several tensions between the understanding of research, as it informs many ethical standards in place, and an understanding of TR.

First, a pre-defined versus an emerging research design. Due to its real-world orientation, TR needs to be able to deal flexibly with changing contexts and windows of opportunity that might arise (Hurtado, 2022 ). Due to the relationality of TR, it requires ongoing interaction and negotiation between researchers and their collaborators (Bartels and Wittmayer, 2018 ; Bournot-Trites and Belanger, 2005 ; Williamson and Prosser, 2002 ). One-off general consent at the start (e.g., through informed consent forms), as is common for ethical review processes, is thus at odds with the emergent design of TR and is also argued to be insufficient in maintaining participants’ autonomy (Smith, 2008 ). As an alternative, Locke et al. ( 2013 ) posit that informed consent should be seen as a collective, negotiated, continuous process, especially in collaborative action research.

Second, assumed neutrality versus dynamic aspects of researchers’ positionalities. Ethical review protocols are geared towards upholding the objective position of researchers as outsiders in the investigated context, ensuring that they will not influence this research context in any way. However, TR explicates its ambition to influence real-world problems through engagement, acknowledging that research needs to confront existing hegemonic orders and emancipate those involved through a democratic process (Cassell and Johnson, 2006 ). Furthermore, researchers co-design, facilitate, and participate in the process of knowledge co-production, making them also participants and subjects of their own research (Janes, 2016 ). To enhance the validity and integrity of the research, Wood, and Kahts-Kramer ( 2023 ), among others, suggest that transformative researchers explicitly state their positionality. This involves reflecting on their assumptions, values, and worldviews.

Third, the primacy of knowledge generation versus the importance of action. Ethical review protocols, given their historical roots in medical practice, assume that the act of falsifying, generating, or improving theories alone would benefit participants, collaborators, and the public at large. Yet, researchers engaged in TR take a step further, seeking to develop both scientific and actionable knowledge in a way that addresses persistent societal problems and stimulates social change (Bartels and Wittmayer, 2018 ; Caniglia et al., 2021 ; Greenwood and Levin, 2007 ). As put by Wood and Kahts-Kramer ( 2023 , p. 7), “ the ethical imperative of participatory research is to bring about positive change and generate theory from reflection on the purposeful action ”. This approach strengthens the responsiveness of research to societal and political needs (Stilgoe et al., 2013 ).

Transformative researchers thus perceive a lack of utility and guidance from ethical standards and processes in place that have institutionalised a certain understanding of research and related sets of principles. Following Clouser and Gert ( 1990 ), one might question whether such institutionalisation of a moral consciousness is possible in the first place. They argue that so-called ‘principlism,’ “ the practice of using ‘principles’ to replace both moral theory and particular moral rules and ideals in dealing with the moral problems that arise in medical practice ” (Clouser and Gert, 1990 , p. 219), has reduced the much-needed debates on morality vis-à-vis research and results in inconsistent and ambiguous directives for morally ‘right’ action in practice. In response to the vacuum left by institutionalised ethics standards and processes and the perceived necessity of defining morally ‘right’ behaviour, the research community is turning inward to develop peer guidance on ethical conduct in TR. The subsequent section highlights several contributions to this endeavour.

Peer context: Informal heuristics for transformative research

Transformative researchers have started offering general principles or frameworks as informal heuristics for what constitutes ‘ethical’ TR. Caniglia et al. ( 2023 ), for example, argue that practical wisdom can serve as a moral compass in complex knowledge co-production contexts, and propose four central ‘wills’ for researchers to follow: committing to justice, embracing care, fostering humility, and developing courage. Under the framing of post-normal or Mode-2 science (Funtowicz and Ravetz, 1994 ; Gibbons et al., 1994 ; Nowotny et al., 2003 ), Fazey et al. ( 2018 ) present ten ‘essentials’ of action-oriented research on transforming energy systems and climate change research Footnote 1 . One of these essentials highlights that, as researchers, we intervene, and that failing to acknowledge and engage with this reality opens the doors to sustaining unjust power relations or positioning science as apolitical. To address this, they echo Lacey et al.’s ( 2015 , p. 201) assertion that such acknowledgment means “ be[ing] transparent and accountable about the choices made about what science is undertaken, and how it is funded and communicated ”.

Looking beyond sustainability scholarship, other researchers have also developed practical actions or strategies for enhancing their ethical behaviours in the research collaboration. Taking the unique attributes of community-based participatory research, Kwan and Walsh ( 2018 , p. 382) emphasise a “ focus on equity rather than equality ” and on practicing a constructive or generative use of power “ rather than adopting a power neutral or averse position ”. Others provide guiding questions to think about the forms and quality of relationships between researchers and participants (Rowan, 2000 ) and to support the navigation of the relationship between action research and other participants (Williamson and Prosser, 2002 ). Such questions should cover not only process-focused questions but also the risks and benefits of the intended outcomes, as well as questions around purpose, motivation, and directionalities (Stilgoe et al., 2013 ). Others also propose broader guidelines in which they pay attention to non-Western and non-human-centred virtue ethics, such as ‘Ubuntu’ (I am because we are) (Chilisa, 2020 ). In forwarding climate change as a product of colonisation, Gram-Hanssen et al. ( 2022 ) join Donald’s ( 2012 ) call for an ethical relationality and reiterate the need to ground all transformation efforts on a continuous process of embodying ‘right relations’ (see also Chilisa, 2020 ; Wilson, 2020 ).

Yet, as argued before, ethics in collaboration cannot be approached through developing principles and strategies alone. Not only might they not be at hand or on top of one’s mind when being immersed in a collaborative practice, which often requires a certain reaction on the spot. They also cannot or should not replace the quest for what morality means within that collaboration (cf. Clouser and Gert, 1990 ). Further questions have been prompted about the necessary skillsets for realising ethical principles in practice (Jaeger-Erben et al., 2018 ; Pearce et al., 2022 ; West and Schill, 2022 ). Caniglia et al. ( 2023 ), for example, propose that researchers need skills such as dealing with plural values with agility and traversing principles and situations with discernment. Others focus on competency building among research participants (Menon and Hartz-Karp, 2023 ). The subsequent section turns to the point of supporting researchers in navigating collaboration ‘in situ’ and in leaning into the uncertainty around what morally good behaviour constitutes—in concrete TR contexts that are plural and uncertain.

Transformative research practice investigated through collaborative autoethnography

Transformative research as a situated practice.

The aforementioned institutionalised ethical standards and procedures, as well as the informal peer heuristics, are two vantage points for guidance on what constitutes morally good behaviour for transformative researchers. These existing vantage points are either developed based on theoretical and philosophical framings or based on researchers’ actual experiences of doing TR. They do offer a repertoire to explain and justify positions and decisions in ethical dilemmas during research collaborations. However, it is not until such heuristics or principles have become part of the practical knowledge of researchers that they are useful for actual TR in situ.

Considering research more as a practice situates it as a social activity in a ‘real-world context’. In such a practice, researchers often make decisions on the spot. Moreover, due to the constraints posed by available time and resources, researchers often engage in what Greenwood and Levin ( 2007 , p. 130) term “ skilful improvisation ” or “ pragmatic concessions ” (Greenwood and Levin, 2007 , p. 85). This “ improvisational quality ” (Yanow, 2006 , p. 70) of the research process does not mean it is not carried out systematically. Such systematicity is based on “ action repertoires ” (Yanow, 2006 , p. 71) that researchers creatively use and remake (Malkki, 2007 ). This improvisation is thus neither spontaneous nor random; rather, it builds on and is based on the practical knowledge of researchers (formed through their experiences and their situatedness) guiding their behaviours in normatively complex situations. Using ‘organic design’ (Haapala et al., 2016 ), the researchers blend real-world settings into formal spaces, fostering bricolage and driving sustainable institutional evolution over time. Such practical knowledge includes “ both ‘know how’ knowledge (techne), […] and ethical and political-practical knowledge (phronesis)” (Fazey et al., 2018 , p. 61). Research can thus be considered a craft (Wittmayer, 2016 ): the skilful mastery of which develops over time through learning based on experience and reflection (Kolb, 1984 ).

Such experiential learning should go beyond reflecting on what lies in view to include seeing how attributes of the viewer shape what is being viewed (cf. Stirling, 2006 ). Engaging in TR includes being one’s own research instrument, which puts a researcher’s positionality, i.e., their social, cultural, and political locations, centre stage. It reminds us that researchers are “ located within networks of power and participate in the (re)configuration of power relations ” (Wijsman and Feagan, 2019 , p. 74). This positionality, the sum of what makes a person and how this informs their actions (Haraway, 1988 ; Kwan and Walsh, 2018 ; Marguin et al., 2021 ), is increasingly being acknowledged in academia. It has a long history in feminist theories, participatory action research, and the critical pedagogy of decolonisation. Positionality refers to the “ researcher’s self-understanding and social vision ” (Coghlan and Shani, 2005 , p. 539) as well as their motivation to ‘better society’ (Boyle et al., 2023 ; Kump et al., 2023 ) and how these affect how researchers interpret ethical guidelines, conduct research, interpret data, and present findings. Consequently, one’s positionality can make certain research choices seem unethical. Mertens ( 2021 , p. 2), for example, considers “ continuing to do research in a business-as-usual manner” unethical as it makes the researcher “ complicit in sustaining oppression ”.

Acknowledging one’s positionality and normative role is part of a broader reflexive practice of critically questioning, reflecting on, and being transparent about values, as well as taking responsibility and accountability for research processes and outcomes (Fazey et al., 2018 ; Pearce et al., 2022 ; Wijsman and Feagan, 2019 ). Such a reflexive practice can support individual researchers to act ethically, but more so, to improve our collective ways of being and doing (i.e., an ethically informed research community) by constantly connecting what should be (i.e., the guidelines) and how it has been done (i.e., the practices) through critical reflexive practices. This improvement at the collective level includes a re-valuation and redesign of existing processes and guidelines for morally good research.

A collaborative autoethnography

Responding to this need for critical reflexivity, we engaged with our storied experience in navigating concrete and immediate ethical dilemmas that we have encountered when collaborating with others for TR in practice. We did so through collaborative autoethnography, a multivocal approach in which two or more researchers work together to share personal stories and interpret the pooled autoethnographic data (Chang et al., 2016 ; Lapadat, 2017 ; Miyahara and Fukao, 2022 ). Collaborative autoethnography is appropriate for our inquiry as it broadens the gaze from the dilemmas of the self to locate them within categories of experience shared by many. Interrogating our personal narratives and understanding the shared experiences through multiple lenses not only facilitates a more rigorous, polyvocal analysis but also reveals possibilities for practical action or intervention (Lapadat, 2017 ). Collaborative auto-ethnography can thus be considered an approach that moves “ beyond the clichés and usual explanations to the point where the written memories come as close as they can make them to ‘an embodied sense of what happened’ ” (Davies and Gannon, 2006 , p. 3). It also supports developing researcher reflexivity (Miyahara and Fukao, 2022 ).

Overall, we engaged in two types of collaborative activities over the course of a period of 18 months: writing and discussing. In hindsight, this period can be divided into three phases: starting up, exploring, and co-working. The first phase was kicked off by an online dialogue session with about 30 participants convened by the Design Impact Transition Platform of the Erasmus University Rotterdam in April 2022. The session was meant to explore and share experiences with a wide range of ethical dilemmas arising from TR collaboration in practice. Following this session, some participants continued deliberating on the questions and dilemmas raised in differing constellations and developed the idea of codifying and sharing our experiences and insights via a publication. In a second phase, we started writing down individual ethical dilemmas, both those we had discussed during the seminar and additional ones. These writings were brought together in an online shared file, where we continued our discussions. This was accompanied by meetings in differing constellations and of differing intensity for the researchers involved.

A third phase of intense co-work was framed by two broader online sessions. During a session in May 2023, we shared and discussed a first attempt at an analysis and sense-making of our individual dilemmas. During this session, we discerned the heuristic by Mertens et al. (2017) and discussed how it could be helpful in structuring our different experiences. Inspired by Mertens et al. (2017), we re-engaged with the three critical dimensions of any research paradigm to scrutinise our philosophical commitments to doing TR. A re-engagement with issues of axiology (the nature of ethics and values), ontology (the nature of reality), and epistemology (the nature of knowledge), as illustrated in Table 1 , allowed us to reconcile our ethical dilemmas and opened a space for a more nuanced understanding and bottom-up approach to the ethics of collaboration in TR. In moving forward, the heuristic also helped to guide the elicitation of additional dilemmas. This session kicked off a period of focused co-writing leading up to a second session in December 2023, where we discussed writing progress and specifically made sense of and related the ethical dilemmas to existing literature and insights.

Especially in this last phase, as we interacted dialogically to analyse and interpret the collection of storied experiences of ethical dilemmas, our thinking about the ethics of collaboration has evolved. It went beyond considering the inadequacy of institutional rules and how we navigated those, towards acknowledging their interplay with individual positionality and a researcher’s situated practice. Closer attention to the contexts within which the ethical dilemmas have arisen has led us to return to our philosophical commitments as transformative researchers and reflect on our assumptions about collaboration and research from a transformative standpoint.

The author team thus comprises a high proportion of those participating in the initial session, as well as others who joined the ensuing collective interpretation and analysis resulting in this paper. An important characteristic of the authors is that we are all affiliated with academic research institutions and that all but one of these institutions are based in high-income countries. It is in this context that we have shared our experiences, which is also limited by it. As such, this paper will mainly speak to other researchers affiliated with academic institutions in comparable settings. Acknowledging these limitations, we are from different (inter)disciplinary backgrounds Footnote 2 , nationalities, and work in different national settings and urban and rural locations. This diversity of contexts impacts the constellation of ethical dilemmas that we were faced with. We thus synthesise lessons from disparate yet still limited contexts, whilst remaining cognisant of the ungeneralisable nature of such a study.

Collaboration in transformative research practice

At the heart of our collaborative autoethnographic experience was the sharing and sensemaking of ethical dilemmas. In this section, we share those dilemmas (see Tables 2 – 4 ) clustered along the three philosophical commitments that served to deepen the analysis and interpretation of our storied experience. We embed our dilemmas with the broader body of knowledge around similar issues to discuss ways forward for practical knowledge around ‘what is good’ TR practice and ‘how to’ navigate ethical dilemmas.

Axiological dimension

Axiology is the study of value, which concerns what is considered ‘good’, what is valued, and most importantly, what ‘ought to be’. The axiological standpoint of TR is to address persistent societal problems and to contribute to transitions towards more just and sustainable societies. The commitment to knowledge development and transformative actions is also shaped by different personal judgements, disciplinary traditions, and institutional contexts. Together, these raise ethical concerns around the shape and form of research collaborations, the research lines being pursued, and where and for whom the benefits of the research accrue. Table 2 provides the details of the ethical dilemmas (described as encounters) that we discuss in the following.

Taking up a transformative stance goes hand in hand with individual researchers holding different roles at the same time (Hoffmann et al., 2022 ; Horlings et al., 2020 ; Jhagroe, 2018 ; Schut et al., 2014 ). Often resulting from this, they also perceive a wide range of responsibilities towards diverse groups (stakeholders, peers, the academic community, etc.). This is why transformative researchers face questions of who is responsible for what and whom in front of whom, and these questions influence and are influenced by what they consider the ‘right’ thing to do in relation to others in a collaborative setting. As a result, their axiological position is constructed intersubjectively in and through interactions unfolding in the communities of important others. It is thus relational and may differ depending on ‘the other’ in the research collaboration (Arrona & Larrea, 2018 ; Bartels and Wittmayer, 2018 ). Encounter 1 illustrates this through a constellation of the research collaboration that holds the potential to become a conflict of interest.

Such conflicts of interest can also occur in the very choice of which ‘community’ is being considered as the main beneficiary of the collaboration. The emphasis on action in TR, especially with regards to the principles of beneficence and justice that we mentioned in “Ethics in transformative research”, can increase this dilemma. Researchers are to continuously evaluate their (perceived) obligations. This includes, for example, obligations towards the scientific community (contributions to the academic discourse via publications) vs. obligations towards stakeholders (being a provider of free practical advice or consultant) vs. scientific requirements (academic rigour and independence) vs. stakeholder requests (answering practical questions). Researchers have to position themselves in this contested field of what ‘good research’ and ‘useful outcomes’ mean and sometimes question or challenge their peers or the academic system at large (see also Kump et al., 2023 ). This is the very question raised by Encounter 2 , where researchers are forced to decide which stakeholders’ values and needs should be prioritised in transforming clinical practice and improving the lives of patients.

Moreover, a similar prioritisation between the interests of different groups needs to be made between whether to create knowledge according to traditional scientific standards of systematicity and rigour or supporting collaborators in developing usable knowledge. This is surely a dilemma that arises from being embedded in an institutional context that judges according to different standards, but it also arises from the double commitment of TR to knowledge development and transformative action (Bartels et al., 2020 ). Huang et al. ( 2024 ) for example show how axiological assumptions serve as the base from which different notions of research excellence (e.g., scientific rigour, ‘impactful’ scholarship) are operationalised and supported institutionally. Encounter 3 reflects a similar dilemma as the lecturer juggles conflicting priorities that are inherent to the axiological concerns of TR. That is, can the goals of knowledge development in the traditional academic sense and transformative action be achieved simultaneously? The answer provided by Encounter 3 seems to suggest a redefinition of what ‘good’ scientific knowledge is, for immediate action to be possible.

Yet, perceived responsibilities—towards human and non-human actors, but also towards the own university, the institutional arrangements in which we partake, and what we understand as ethical behaviours—exist in a close, interdependent relationship with our inner ethical standards. Creed et al. ( 2022 , p. 358) capture this “ collection of sedimented evaluations of experiences, attachments, and commitments ” as an ‘embodied world of concern’. This can illustrate the complexity of how an individual researcher’s values, emotions, or sentiments tend to intertwine, and can sometimes clash, with the concerns of their communities and the social-political situation where they operate. Given that one’s embodied world of concern is not fixed but characterised by emerging pluralism, as Encounter 4 illustrates, the consequence of an ethical decision tends to fall more heavily on those with less axiological privilege, such as early career researchers or those located in regions where the opportunity for scientific publishing is limited (Kruijf et al., 2022 ).

As transformative researchers seek systemic change, their values cannot help but influence their research collaboration, including the choice of whom they work with and which methods to use. However, the intention of strengthening the responsiveness of research to societal and political needs through TR collaborations risks being co-opted by the interests of those funding research activities (Bauwens et al., 2023 ; Strydom et al., 2010 ). As illustrated in Encounter 5 , this might cause dilemmas when being approached by stakeholders (e.g., oil and gas companies) to do research, which may not sit well with the subjective judgements of the researcher or with an overall need for transformative change. Researchers can be caught in an odd position and left to wonder whether a compromise of values is worth the risks and end gain, depending on whether a positive contribution can still be achieved. Negotiating our axiological stances with collaborators thus allows researchers to be seen as social beings embedded in patterns of social interdependence, who are not only “ capable and can flourish ” but also “ vulnerable and susceptible to various kinds of loss or harm [and] can suffer ” (Sayer, 2011 , p. 1).

Ontological dimension

Ontology is the philosophical study of being, which concerns the nature of reality and what really exists. TR can start from diverse ontological stances, including critical realist, pragmatist, or subjectivist perspectives. This includes a strong acknowledgement that “ there are multiple versions of what is believed to be real ” (Mertens, 2017 , p. 21). Yet, such a pluralist stance remains a theoretical exercise up until the point that researchers ought to define what are ‘the things’ that need to be transformed and into what. In this situation, at least two debates arise: Do ‘the things’ exist based on a specific ontological commitment, such as the divide between measurable constructs and socially constructed understandings of risks and inequities. And is the existence of ‘the things’ universal or merely a construct of a specific time, space, or social group? As the researcher illustrated in Encounter 6 (see Table 3 for the detailed encounters), if maths anxiety and eco-anxiety are recognised as ‘real’ because of growing clinical research, why can’t the research team accept the construct of ‘science anxiety’ that their teacher collaborators have perceived in their classrooms? Collaboration thus remains especially challenging when researchers strive for academic rigour from an empiricist standpoint while having to cross paths or work with individuals from different ontological positions (Midgley, 2011 ).

Commitments to working collaboratively with members of ‘marginalised’ and ‘vulnerable’ communities add to this dilemma, as researchers are bound to encounter the ethical dilemmas of whose reality is privileged, whose reality can or should be legitimised and considered ‘true’ in a TR process (Kwan and Walsh, 2018 ). In Encounter 7 , for instance, research participants do not recognise themselves as ‘climate displaced persons’ or ‘climate migrants’ because they have a long history of migration for a plethora of reasons. Now, should researchers continue using this term with a view to gain political attention to the issues of climate change, or should they abstain from doing so? How does this relate to their commitment to transformative action, including shaping political agendas? The intention to target system-level change in TR (Burns, 2014 ; Kemmis, 2008 ) also means that researchers ought to interrogate the mechanisms that inflict certain perceived realities on the powerless in the name of good causes (Edelman, 2018 ; Feltham-King et al., 2018 ), the ways in which these narratives are deployed by powerful stakeholders (Thomas and Warner, 2019 ) and how these are translated into (research) action.

Moreover, research and action on ‘scientific’ problems can deflect attention from other problems that local communities most care about or lead to unexpected, even negative, implications for some stakeholders. With increasing pressure on the societal impact of research and funding tied to certain policy goals, the issues of labelling and appropriation might only perpetuate a deficit perspective on specific groups (Eriksen et al., 2021 ; Escobar, 2011 ; van Steenbergen, 2020 ). Encounter 8 highlights that, without caution, well-intended efforts risk perpetuating harm and injustice —upholding a certain deficit perspective of the community in question. Communities accustomed to ‘helicopter’ research, where academics ‘fly-in, fly-out’ to further their careers at the expense of the communities, may be reluctant to collaborate. This necessitates transparency, active listening, deliberative involvement, and trust building (Adame, 2021 ; Haelewaters et al., 2021 ). It also reminds us of the ‘seagull syndrome’,’ which attests to the frustration felt by community members towards outsider ‘experts’ making generalisations and false diagnoses based on what is usually a superficial or snapshot understanding of local community dynamics (Porter, 2016 ). In some incidents, transformative researchers may need to redesign collaboration processes in TR that centre on the realities of people in the study (Hickey et al., 2018 ).

Epistemological dimension

Epistemology is the philosophical study of knowledge, and its primary concern is the relationship between the knower and what can be known. Transformative researchers usually work at the interface of disciplines, each with their own ideas on what constitutes ‘scientifically sound’ but also ‘socially robust’ or ‘actionable’ knowledge (Mach et al., 2020 ; Nowotny et al., 2003 ). Many thus hold the epistemological assumption that knowledge is created through multiple ways of knowing, and the processes of knowledge generation need to recognise how power inequities may shape the normative definition of legitimate knowledge. This stance raises ethical concerns about whose knowledge systems and ways of knowing are included, privileged, and/or legitimised in TR practice. Moreover, it raises concerns about ways of ensuring a plurality of knowledge spaces (Savransky, 2017 ).

Using an epistemological lens to interrogate collaborative practice in TR can illuminate a wide range of ethical dilemmas associated with longstanding critiques of Western norms and ‘scientific superiority’ (Dotson, 2011 ; Dutta et al., 2022 ; Wijsman and Feagan, 2019 ). It also brings to the fore the power dynamics inherent within collaborative processes of TR for sustainability (de Geus et al., 2023 ; Frantzeskaki and Rok, 2018 ; Kanemasu and Molnar, 2020 ; Kok et al., 2021 ; Strumińska-Kutra and Scholl, 2022 ). A particular ethical challenge is related to the fact that it is typically researchers from the Global North who design and lead research collaborations, even when these take place in the Global South. This immediately creates “ an inequality that is not conducive to effective co-production ” and requires “ dedicated commitment to identify and confront the embodied power relations [and] hegemonic knowledge systems among the participants in the process ” (Vincent, 2022 , p. 890). See Table 4 for details on the ethical dilemmas that we discuss in the following.

Concerns about epistemic justice (Ackerly et al., 2020 ; Harvey et al., 2022 ; Temper and Del Bene, 2016 ) and interpretation of voices (Komulainen, 2007 ) are largely rooted in the deficit narratives about the capacity of certain groups for producing knowledge or for being knowers. Encounter 9 shows how easily certain voices can be muted as not being considered to speak from a position of knowledge. Research processes can usefully be expanded to include disinterested or disengaged citizens (Boyle et al., 2022 ), or those opposing a project or initiative so as to lay bare the associated tensions of knowledge integration and co-production (Cockburn, 2022 ). Encounter 10 illustrates that such silencing also relates to the question of who holds legitimate knowledge. This research has three parties that may hold legitimate knowledge: the researcher, the corporation, and the local community. However, the extent to which the researchers’ knowledge is heard remains unclear since the corporation does not consider it in its actions. It also illustrates common insecurities about what one can attain using certain research methods. The reliance of political institutions and citizens on expert advice, particularly when dealing with acute crises (e.g., Covid-19 pandemic), also tends to exacerbate the depoliticisation of decisions (Rovelli, 2021 ).

Moreover, TR practice nearly inevitably results in privileging certain ways of knowing and knowledges. Researchers make space for shared action or dialogue around a certain issue, inviting certain groups but not others, and choosing certain methods and not others. Encounter 11 illustrates the issue of favouritism in research collaboration. It elaborates on how thoughtful facilitation can intervene to level the playing field and provide a way out of the dilemma going beyond the question of whose benefit it serves. This facilitation enables meaningful collaboration among all parties involved. Particularly in policy sectors dominated by political and economic considerations, which exhibit strong vested interests, there is a need to foster meaningful and safe participation (Nastar et al., 2018 ). Skilled facilitation is crucial for uniting marginalised groups, preparing them to deal with the intricacies of scientific jargon and technological hegemony (Djenontin and Meadow, 2018 ; Reed and Abernethy, 2018 ). The contextual dimensions of collaborators, their associated worldviews, and the social networks in which they are situated are important epistemological foundations. Yet, these are not static and can shift over time throughout collaborative partnerships.

As explicated in “Introducing transformative research”, TR represents an epistemological shift to recognise researchers as sense-makers, agency holders, and change agents. This philosophical commitment can create dilemmas for ‘embedded researchers’ seeking to strengthen the science-policy interface. Encounter 12 illustrates how occupying a dual role — to dive into action and to publish scientifically — can be at odds. This encounter alludes to the fact that transformative researchers often navigate different roles, which come with different, at times conflicting, epistemological priorities and ways of knowing (e.g., roles as a change agent and a reflective scientist, the approach of ‘Two-Eyed Seeing’ by Indigenous scholars) (Bulten et al., 2021 ; Temper et al., 2019 ; Wittmayer and Schäpke, 2014 ). Importantly, such roles change over time in a TR practice and over the course of a researcher’s career (McGowan et al., 2014 ; Pohl et al., 2017 ).

Involving diverse stakeholders in knowledge co-production also inevitably leads to ethical questions concerning how to integrate diverse knowledge systems, especially those using multi-method research designs or models to aid decision-making (Hoffmann et al., 2017 ). Models can be useful in providing scenarios, however, they are constructed by people based on certain assumptions. These assumptions serve as the fundamental lenses through which complex real-world systems are simplified, analysed, and interpreted within the model framework. Despite the well-intention of researchers, the practice of establishing a shared understanding and reaching consensus about key constructs in a model is often unattainable. As Encounter 13 illustrates, participatory model building requires the capacity and willingness of all involved to knit together kindred, or even conflicting, perspectives to complement disciplinary specialism.

We explored the dilemmas of researchers pertaining to knowing ‘how to’ act in a certain situation and considering ‘what is doing good’ in that situation. Transformative researchers (re)build their practical knowledge of what doing research means through cultivating a reflexive practice that puts experiences in context and allows to learn from them. From a meta-perspective, doing TR is a form of experiential learning (Kolb, 1984 ) and doing TR involves traversing an action research cycle: experiencing and observing one’s action research practice, abstracting from it, building knowledge, and experimenting with it again to cultivate what has been referred to as first person inquiry (Reason and Torbert, 2001 ).

Concluding thoughts

In this article, we set out to explore which ethical dilemmas researchers face in TR and how they navigate those in practice. We highlighted that researchers engaging in TR face a context of uncertainty and plurality around what counts as ethically acceptable collaboration. With TR emphasising collaboration, it becomes important to discern the notion of ‘right relations’ with others (Gram-Hanssen et al., 2022 ), to attend to the positionality of the researcher, and to reconfigure power relations. Importantly, with TR emphasising the need for structural and systematic changes, researchers need to be aware of how research itself is characterised by structural injustices.

Using a collaborative autoethnography, we shared ethical dilemmas to uncover the messiness of collaborative TR practice. We established how guidance from institutionalised reference systems (i.e., ethical review boards and procedures) currently falls short in recognising the particularities of TR. We described how the research community generates informal principles, or heuristics to address this gap. However, we also appreciated that in actual collaboration, researchers are often ‘put on the spot’ to react ‘ethically’ in situ, with limited time and space to withdraw and consult guidelines on ‘how to behave’. Such informal heuristics are thus but a start and a helpful direction for developing the practical knowledge of researchers on how to navigate a plural and uncertain context.

This practical knowledge is based on an awareness of the uncertainty around what constitutes morally good behaviour and builds through experience and a critical reflexive practice. Our aim is not to share another set of principles, but rather to highlight the situatedness of TR and the craftsmanship necessary to navigate it and, in doing so, build practical knowledge through experiential learning and insight discovery (Kolb, 1984 ; Pearce et al., 2022 ). Such a bottom-up approach to research ethics builds on the experiences of researchers engaging in TR as a situated practice vis-à-vis their personal motivations and normative ambitions and the institutional contexts they are embedded in. This approach nurtures the critical reflexivity of researchers about how they relate to ethical principles and how they translate this into their normative assumptions, practical hypotheses, and methodological strategy.

Next to continuous learning, this critical reflexivity on TR as craftmanship can enhance practical wisdom not only for the individual but also for the broader community of researchers. We envision such wisdom not as a set of closed-ended guidelines or principles, but rather as a growing collection of ethical questions enabling the TR community to continuously deepen the interrogation of their axiological, ontological, and epistemological commitments (see Table 5 ). Only through this ongoing process of reacting, reflecting, and questioning—or as referred to by Pearce et al. ( 2022 , p. 4) as “an insight discovery process”—can we collectively learn from the past to improve our future actions.

However, such a bottom-up approach to ethics can only form one part of the answer, set in times of an evolving research ethics landscape. Researchers engaging in transformative academic work cannot and should not be left alone. Additionally, researchers’ ethical judgements cannot be left to their goodwill and virtuous values alone. Therefore, another important part of the answer is the carving out of appropriate institutions that can provide external guidance and accountability. This will require nothing less than structural and cultural changes in established universities and research environments. Rather than having researchers decide between doing good and doing ‘good’ research, such environments should help to align those goals.

From this work, questions arise on how institutional environments can be reformed or transformed to be more conducive to the particularities of TR, and to help nurture critical reflexivity. We highlight the critical role that ethic review boards can play in starting to rethink their roles, structures, and underlying values. Practical ideas include employing mentors for transformative research ethics, having ethical review as a process rather than as a one-off at the start of the project, or continuously investing in moral education. Thus, we underscore the importance of individual reflexivity and learning. However, we would like to set this in the broader context of organisational learning, and even unlearning, among academic institutions to overhaul our academic systems in response to the urgent imperative of tackling socio-ecological challenges globally. In this transformative endeavour, careful consideration of how the ethics of research and collaboration shape academics’ socially engaged work is indispensable.

The full set of essentials is the following: (1) Focus on transformations to low-carbon, resilient living; (2) Focus on solution processes; (3) Focus on ‘how to’ practical knowledge; (4) Approach research as occurring from within the system being intervened; (5) Work with normative aspects; (6) Seek to transcend current thinking; (7) Take a multi-faceted approach to understand and shape change; (8) Acknowledge the value of alternative roles of researchers; (9) Encourage second-order experimentation; and (10) Be reflexive. Joint application of the essentials would create highly adaptive, reflexive, collaborative, and impact-oriented research able to enhance capacity to respond to the climate challenge.

Disciplines include amongst others anthropology, business administration, climate change adaptation, cultural economics, economics, economic geography, education, health sciences, human geography, international development studies, philosophy, political science, sociology, urban planning.

Ackerly BA, Friedman EJ, Menon K, Zalewski M (2020) Research ethics and epistemic oppression. Int. Feminist J Politics 22(3):309–311. https://doi.org/10.1080/14616742.2020.1771006

Article   Google Scholar  

Adame F (2021) Meaningful collaborations can end ‘helicopter research’. Nature d41586-021-01795–1. https://doi.org/10.1038/d41586-021-01795-1

Arnott JC, Neuenfeldt RJ, Lemos MC (2020) Co-producing science for sustainability: can funding change knowledge use? Glob Environ Change 60:101979. https://doi.org/10.1016/j.gloenvcha.2019.101979

Arrona A, Larrea M (2018) Soft resistance: balancing relationality and criticality to institutionalise action research for territorial development. In: Bartels KPR, Wittmayer JM (eds.) Action research in policy analysis. critical and relational approaches to sustainability transitions. Routledge Taylor & Francis Group, London and New York, pp 134–152

Bartels KPR, Greenwood DJ, Wittmayer JM (2020) How action research can make deliberative policy analysis more transformative. Policy Stud 41(4):392–410. https://doi.org/10.1080/01442872.2020.1724927

Bartels KPR, Wittmayer JM (eds) (2018) Action research in policy analysis. critical and relational approaches to sustainability transitions. Routledge Taylor & Francis Group, London and New York

Bauwens T, Reike D, Calisto-Friant M (2023) Science for sale? Why academic marketization is a problem and what sustainability research can do about it. Environ Innov Soci Transit 48:100749. https://doi.org/10.1016/j.eist.2023.100749

Beauchamp T, Childress J (2001) Principles Biomedical Ethics (5th ed.). Oxford University Press

BMJ. (1996) The Nuremberg Code (1947). 313(7070), 1448. https://doi.org/10.1136/bmj.313.7070.1448

Bournot-Trites M, Belanger J (2005) Ethical dilemmas facing action researchers. J Educ Thought (JET)/Rev de La Pensée Éducative 39(2):197–215

Google Scholar  

Boyle E, Galvin M, Revez A, Deane A, Ó Gallachóir B, Mullally G (2022) Flexibility & structure: community engagement on climate action & large infrastructure delivery. Energy Policy 167:113050. https://doi.org/10.1016/j.enpol.2022.113050

Boyle E, McGookin C, O’Mahony C, Bolger P, Byrne E, Gallachóir BÓ, Mullally G (2023) Understanding how institutions may support the development of transdisciplinary approaches to sustainability research. Research for All, 7 (1). https://doi.org/10.14324/RFA.07.1.07

Bradbury H, Waddell S, O’Brien K, Apgar M, Teehankee B, Fazey I (2019) A call to action research for transformations: the times demand it. Action Res 17(1):3–10. https://doi.org/10.1177/1476750319829633

Bulten E, Hessels LK, Hordijk M, Segrave AJ (2021) Conflicting roles of researchers in sustainability transitions: balancing action and reflection. Sustain Sci 16(4):1269–1283. https://doi.org/10.1007/s11625-021-00938-7

Burns D (2014) Systemic action research: changing system dynamics to support sustainable change. Action Res 12(1):3–18. https://doi.org/10.1177/1476750313513910

Caniglia G, Freeth R, Luederitz C, Leventon J, West SP, John B, Peukert D, Lang DJ, von Wehrden H, Martín-López B, Fazey I, Russo F, von Wirth T, Schlüter M, Vogel C (2023) Practical wisdom and virtue ethics for knowledge co-production in sustainability science. Nat Sustain 6(5):493–501. https://doi.org/10.1038/s41893-022-01040-1

Caniglia G, Luederitz C, von Wirth T, Fazey I, Martín-López B, Hondrila K, König A, von Wehrden H, Schäpke NA, Laubichler MD, Lang DJ (2021) A pluralistic and integrated approach to action-oriented knowledge for sustainability. Nat Sustain 4(2):93–100. https://doi.org/10.1038/s41893-020-00616-z

Cassell C, Johnson P (2006) Action research: explaining the diversity. Hum Relat 59(6):783–814. https://doi.org/10.1177/0018726706067080

Chambers JM, Wyborn C, Ryan ME, Reid RS, Riechers M, Serban A, Bennett NJ, Cvitanovic C, Fernández-Giménez ME, Galvin KA, Goldstein BE, Klenk NL, Tengö M, Brennan R, Cockburn JJ, Hill R, Munera C, Nel JL, Österblom H, Pickering T (2021) Six modes of co-production for sustainability. Nat. Sustainability 4(11):983–996. https://doi.org/10.1038/s41893-021-00755-x

Chang H, Ngunjiri F, Hernandez K (2016) Collaborative autoethnography (Vol. 8). Routledge. https://www.taylorfrancis.com/books/mono/10.4324/9781315432137/collaborative-autoethnography-kathy-ann-hernandez-heewon-chang-faith-ngunjiri

Chilisa B (2020) Indigenous research methodologies. SAGE Publications, Thousand Oaks

Christians C (2005) Ethics and politics in qualitative research. In: Y Lincoln (ed) The Sage Handbook of Qualitative Research. SAGE Publications, Thousand Oaks, pp 139–164

Clouser K, Gert B (1990) A critique of principlism. J Med Philos 152(2):219–236. https://doi.org/10.1093/jmp/15.2.219

Cockburn J (2022) Knowledge integration in transdisciplinary sustainability science: Tools from applied critical realism. Sustain Dev 30(2):358–374

Article   MathSciNet   Google Scholar  

Cockburn J, Cundill G (2018) Ethics in transdisciplinary research: Reflections on the implications of ‘Science with Society’. In: Macleod CI, Marx J, Mnyaka P, Treharne GJ (eds) The Palgrave Handbook of Ethics in Critical Research. Springer, Cham, pp 81–97

Coghlan D, Shani ABR (2005) Roles, Politics, and Ethics in Action Research Design. Syst Pract Action Res 18(6):533–546. https://doi.org/10.1007/s11213-005-9465-3

Creed WED, Hudson BA, Okhuysen GA, Smith-Crowe K (2022) A place in the world: vulnerability, well-Being, and the Ubiquitous evaluation that animates participation in institutional processes. Acad Manag Rev 47(3):358–381. https://doi.org/10.5465/amr.2018.0367

Davies B, Gannon S (2006) The practices of collective biography. In: Davies B, Gannon S (eds) Doing collective biography. Investigating the production of subjectivity, Open University Press, Maidenhead, pp 1–15

de Geus T, Avelino F, Strumińska-Kutra M, Pitzer M, Wittmayer JM, Hendrikx L, Joshi V, Schrandt N, Widdel L, Fraaije M, Iskandarova M, Hielscher S, Rogge K (2023) Making sense of power through transdisciplinary sustainability research: insights from a transformative power lab. Sustain Sci. 18(3):1311–1327. https://doi.org/10.1007/s11625-023-01294-4

Detardo-Bora K (2004) Action research in a world of positivist-oriented review boards. Action Res 2(3):237–253

Djenontin INS, Meadow AM (2018) The art of co-production of knowledge in environmental sciences and management: lessons from international practice. Environ Manag 61(6):885–903. https://doi.org/10.1007/s00267-018-1028-3

Article   ADS   Google Scholar  

Donald D (2012) Indigenous Métissage: a decolonizing research sensibility. Int J Qual Stud Educ 25(5):533–555. https://doi.org/10.1080/09518398.2011.554449

Dotson K (2011) Tracking epistemic violence, tracking practices of silencing. Hypatia 26(2):236–257. https://doi.org/10.1111/j.1527-2001.2011.01177.x

Dutta U, Azad AK, Hussain SM (2022) Counterstorytelling as epistemic justice: decolonial community‐based praxis from the global south. Am J Commun Psychol 69(1–2):59–70. https://doi.org/10.1002/ajcp.12545

Edelman NL (2018) Researching sexual healthcare for women with problematic drug use: returning to ethical principles in study processes. In: In: Macleod CI, Marx J, Mnyaka P, Treharne GJ (eds) The Palgrave Handbook of Ethics in Critical Research, Springer, Cham, pp 47–62

Eriksen S, Schipper ELF, Scoville-Simonds M, Vincent K, Adam HN, Brooks N, Harding B, Khatri D, Lenaerts L, Liverman D, Mills-Novoa M, Mosberg M, Movik S, Muok B, Nightingale A, Ojha H, Sygna L, Taylor M, Vogel C, West JJ (2021) Adaptation interventions and their effect on vulnerability in developing countries: Help, hindrance or irrelevance? World Dev 141:105383. https://doi.org/10.1016/j.worlddev.2020.105383

Escobar A (2011) Encountering development: the making and unmaking of the Third World, vol 1. Princeton University Press, Princeton

Fazey I, Schäpke N, Caniglia G, Patterson J, Hultman J, van Mierlo B, Säwe F, Wiek A, Wittmayer J, Aldunce P, Woods M, Wyborn C (2018) Ten essentials for action-oriented and second order energy transitions, transformations and climate change research. Energy Res Soc Sci 40:54–70. https://doi.org/10.1016/j.erss.2017.11.026

Feltham-King T, Bomela Y, Macleod CI (2018) Contesting the nature of young pregnant and mothering women: critical healthcare nexus research, ethics committees, and healthcare institutions. In: Macleod CI, Marx J, Mnyaka P, Treharne GJ (eds) The Palgrave Handbook of Ethics in Critical Research, Springer, Cham, pp 63–79

Ferraro F, Etzion D, Gehman J (2015) Tackling grand challenges pragmatically: robust action revisited. Organ Stud 36(3):363–390. https://doi.org/10.1177/0170840614563742

Finlay L (2002) Negotiating the swamp: the opportunity and challenge of reflexivity in research practice. Qua Res 2:209–230. https://doi.org/10.1177/146879410200200205

Frantzeskaki N, Kabisch N (2016) Designing a knowledge co-production operating space for urban environmental governance—Lessons from Rotterdam, Netherlands and Berlin, Germany. Environ Sci Policy 62:90–98. https://doi.org/10.1016/j.envsci.2016.01.010

Frantzeskaki N, Rok A (2018) Co-producing urban sustainability transitions knowledge with community, policy and science. Environ Innov Soc Transit 29(August):47–51. https://doi.org/10.1016/j.eist.2018.08.001

Funtowicz SO, Ravetz JR (1994) The worth of a songbird: ecological economics as a post-normal science. Ecol Econ 10(3):197–207. https://doi.org/10.1016/0921-8009(94)90108-2

Future Earth (2014) Future Earth 2025 Vision. International Council for Science (ICSU), Paris. Online at: https://futureearth.org/wp-content/uploads/2019/03/future-earth_10-year-vision_web.pdf

General Assembly of the World Medical Association (2014) World Medical Association Declaration of Helsinki: Ethical principles for medical research involving human subjects. J Am Coll Dent 81(3):14–18

Gerber A, Forsberg E-M, Shelley-Egan C, Arias R, Daimer S, Dalton G, Cristóbal AB, Dreyer M, Griessler E, Lindner R, Revuelta G, Riccio A, Steinhaus N (2020) Joint declaration on mainstreaming RRI across Horizon Europe. J Responsible Innov 7(3):708–711. https://doi.org/10.1080/23299460.2020.1764837

Gibbons M, Limoges C, Nowotny H, Schwartzmann S, Scott P, Trow M (1994) The new production of knowledge. The dynamics of science and research in contemporary societies. Sage Publications, London

Gram-Hanssen I, Schafenacker N, Bentz J (2022) Decolonizing transformations through ‘right relations. Sustain Sci 17(2):673–685. https://doi.org/10.1007/s11625-021-00960-9

Greenwood DJ, Levin M (2007) Introduction to Action Research. Social Research for Social Change. Sage, Thousand Oaks

Haapala J, Rautanen S-L, White P, Keskinen M, Varis O (2016) Facilitating bricolage through more organic institutional designs? The case of water users’ associations in rural Nepal. Int J Commons 10(2):1172. https://doi.org/10.18352/ijc.688

Haelewaters D, Hofmann TA, Romero-Olivares AL (2021) Ten simple rules for Global North researchers to stop perpetuating helicopter research in the Global South. PLOS Comput Biol 17(8):e1009277. https://doi.org/10.1371/journal.pcbi.1009277

Article   ADS   CAS   PubMed   PubMed Central   Google Scholar  

Haraway D (1988) Situated knowledges: the science question in feminism and the privilege of partial perspective. Feminist Stud 14(3):575. https://doi.org/10.2307/3178066

Harney L, Mccurry J, Wills J (2016) Developing ‘ process pragmatism ’ to underpin engaged research in human geography. Prog Hum Geogr 40(3):316–333. https://doi.org/10.1177/0309132515623367

Harvey B, Huang Y-S, Araujo J, Vincent K, Sabiiti G (2022) Breaking vicious cycles? A systems perspective on Southern leadership in climate and development research programmes. Clim Dev 14(10):884–895. https://doi.org/10.1080/17565529.2021.2020614

Hessels LK, van Lente H, Smits R (2009) In search of relevance: the changing contract between science and society. Sci Public Policy 36(5):387–401. https://doi.org/10.3152/030234209X442034

Hickey G, Richards T, Sheehy J (2018) Co-production from proposal to paper Three examples show how public participation in research can be extended at every step of the process to generate useful knowledge. Nature 562:29–31. https://doi.org/10.1038/d41586-018-06861-9

Article   ADS   CAS   PubMed   Google Scholar  

Hirsch Hadorn G, Hoffmann-Riem H, Biber-Klemm S, Grossenbacher-Mansuy W, Joye, D, Pohl, C, Wiesmann U, Zemp E (2008) Handbook of transdisciplinary research. Handbook of Transdisciplinary Research. Springer Science + Business Media B.V., Cham https://doi.org/10.1007/978-1-4020-6699-3

Hoffmann S, Deutsch L, Klein JT, O’Rourke M (2022) Integrate the integrators! A call for establishing academic careers for integration experts. Hum Soc Sci Commun 9(1):147. https://doi.org/10.1057/S41599-022-01138-Z

Hoffmann S, Pohl C, Hering JG (2017) Exploring transdisciplinary integration within a large research program: empirical lessons from four thematic synthesis processes. Res Policy 46(3):678–692. https://doi.org/10.1016/j.respol.2017.01.004

Hölscher K, Wittmayer JM, Hirschnitz-garbers M, Olfert A, Schiller G, Brunnow B (2021) Transforming science and society? Methodological lessons from and for transformation research. Res Eval 1–17. https://doi.org/10.1093/reseval/rvaa034

Horcea-Milcu A-I, Leventon J, Lang DJ (2022) Making transdisciplinarity happen: Phase 0, or before the beginning. Environ Sci Policy 136:187–197. https://doi.org/10.1016/j.envsci.2022.05.019

Horlings LG, Nieto-Romero M, Pisters S, Soini K (2020) Operationalising transformative sustainability science through place-based research: the role of researchers. Sustain Sci. 15(2):467–484. https://doi.org/10.1007/s11625-019-00757-x

Huang YS, Harvey B, Vincent K (2024) Large-scale sustainability programming is reshaping research excellence: Insights from a meta-ethnographic study of 12 global initiatives Environ Sci Policy 155:103725. https://doi.org/10.1016/j.envsci.2024.103725

Hurtado S (2022) The transformative paradigm. In: Pasque PA (ed) Advancing culturally responsive research and researchers: Qualitative, quantitative, and mixed methods, Routledge, London, pp 15–17

Jaeger-Erben M, Nagy E, Schäfer M, Süßbauer E, Zscheischler J (2018) Von der Programmatik zur Praxis: Plädoyer für eine Grounded Theory transformationsorientierter Forschung. GAIA - Ecol Perspect Sci Soc 27(1):117–121. https://doi.org/10.14512/gaia.27.1.5

Janes J (2016) Democratic encounters? Epistemic privilege, power, and community-based participatory action research. Action Res 14(1):72–87

Jhagroe S (2018) Transition scientivism: on activist gardening and co-producing transition knowledge ‘from below’. In: Bartels KPR, Wittmayer JM (eds) Action Research in Policy Analysis. Critical and Relational Appoaches to Sustainability Transitions, Routledge Taylor & Francis Group, London and New York, pp 64–85

Kanemasu Y, Molnar G (2020) Representing’ the voices of Fijian women rugby players: Working with power differentials in transformative research. Int Rev Sociol Sport 55(4):399–415. https://doi.org/10.1177/1012690218818991

Kemmis S (2008) Critical theory and participatory action research. In: Reason P, Bradbury H (eds) The Sage Handbook of Action Research. Participative inquiry and practice, 2nd edn. SAGE Publications, London, pp 695–707

Kok KPW, Gjefsen MD, Regeer BJ, Broerse JEW (2021) Unraveling the politics of ‘doing inclusion’ in transdisciplinarity for sustainable transformation. Sustain Sci 16(6):1811–1826. https://doi.org/10.1007/s11625-021-01033-7

Article   PubMed   PubMed Central   Google Scholar  

Kolb, D (1984) The Process of Experiential Learning. In: Experiential Learning. Experience as The Source of Learning and Development. Prentice Hall, pp 20–38. https://doi.org/10.1016/B978-0-7506-7223-8.50017-4

Komulainen S (2007) The Ambiguity of the Child’s ‘Voice’ in Social Research. Childhood 14(1):11–28. https://doi.org/10.1177/0907568207068561

Kruijf JV, Verbrugge L, Schröter B, den Haan R, Cortes Arevalo J, Fliervoet J, Henze J, Albert C (2022) Knowledge co‐production and researcher roles in transdisciplinary environmental management projects. Sustain Dev 30(2):393–405. https://doi.org/10.1002/sd.2281

Kump B, Wittmayer J, Bogner K, Beekman M (2023) Navigating force conflicts: a case study on strategies of transformative research in the current academic system. J Clean Prod 412:137374. https://doi.org/10.1016/j.jclepro.2023.137374

Kwan C, Walsh C (2018) Ethical issues in conducting community-based participatory research: a narrative review of the literature. Qual Rep. https://doi.org/10.46743/2160-3715/2018.3331

Lacey J, Howden SM, Cvitanovic C, Dowd A-M (2015) Informed adaptation: ethical considerations for adaptation researchers and decision-makers. Glob Environ Change 32:200–210. https://doi.org/10.1016/j.gloenvcha.2015.03.011

Lang DJ, Wiek A, Bergmann M, Moll P, Swilling M, Thomas CJ (2012) Transdisciplinary research in sustainability science: practice, principles, and challenges. Sustainability Sci. 7:25–43. https://doi.org/10.1007/s11625-011-0149-x

Lapadat JC (2017) Ethics in autoethnography and collaborative autoethnography. Qual Inq 23(8):589–603. https://doi.org/10.1177/1077800417704462

Lincoln Y (2001) Engaging sympathies: Relationships between action research and social constructivism. In: Reason P, Bradbury H (eds) The Sage Handbook of Action Research. Participative inquiry and practice, SAGE Publications, London, pp 124–132

Locke T, Alcorn N, O’Neill J (2013) Ethical issues in collaborative action research. Educ Action Res 21(1):107–123. https://doi.org/10.1080/09650792.2013.763448

Loorbach D, Frantzeskaki N, Avelino F (2017) Sustainability transitions research: transforming science and practice for societal change. Annu Rev Environ Resour 42(1):599–626. https://doi.org/10.1146/annurev-environ-102014-021340

Lotz-Sisitka H, Ali MB, Mphepo G, Chaves M, Macintyre T, Pesanayi T, Wals A, Mukute M, Kronlid D, Tran DT, Joon D, McGarry D (2016) Co-designing research on transgressive learning in times of climate change. Curr Opin Environ Sustain 20:50–55. https://doi.org/10.1016/j.cosust.2016.04.004

Mach KJ, Lemos MC, Meadow AM, Wyborn C, Klenk N, Arnott JC, Ardoin NM, Fieseler C, Moss RH, Nichols L, Stults M, Vaughan C, Wong-Parodi G (2020) Actionable knowledge and the art of engagement. Curr Opin Environ Sustain 42:30–37. https://doi.org/10.1016/j.cosust.2020.01.002

Macleod CI, Marx J, Mnyaka P, Treharne GJ (eds) (2018) The Palgrave Handbook of Ethics in Critical Research. Springer, Cham

Malkki LH (2007) Tradition and Improvisation in Ethnographic Field Research. In: Cerwonka A, Malkki LH, Improvising Theory. Process and Temporality in Ethnographic Fieldwork, The University of Chicago Press, pp 162–187

Marguin S, Haus J, Heinrich AJ, Kahl A, Schendzielorz C, Singh A (2021) Positionality Reloaded: Über die Dimensionen der Reflexivität im Verhältnis von Wissenschaft und Gesellschaft: Ein EditorialPositionality Reloaded: Debating the Dimensions of Reflexivity in the Relationship Between Science and Society: An Editorial. Historical Soc Res 46:734. https://doi.org/10.12759/HSR.46.2021.2.7-34

McGowan KA, Westley F, Fraser EDG, Loring PA, Weathers KC, Avelino F, Sendzimir J, Roy Chowdhury R, Moore M-L (2014) The research journey: travels across the idiomatic and axiomatic toward a better understanding of complexity. Ecol Soc 19(3):art37. https://doi.org/10.5751/ES-06518-190337

Menon S, Hartz-Karp J (2023) Applying mixed methods action research to explore how public participation in an Indian City could better resolve urban sustainability problems. Action Res 21(2):230–253. https://doi.org/10.1177/1476750320943662

Mertens DM (2007) Transformative paradigm: mixed methods and social justice. J Mixed Methods Res 1(3):212–225. https://doi.org/10.1177/1558689807302811

Mertens DM (2017) Transformative research: Personal and societal. Int J Transform Res 4(1):18–24. https://doi.org/10.1515/ijtr-2017-0001

Mertens DM (2021) Transformative research methods to increase social impact for vulnerable groups and cultural minorities. Int J Qua Methods 20:160940692110515. https://doi.org/10.1177/16094069211051563

Midgley G (2011) Theoretical pluralism in systemic action research. Syst Pract Action Res 24:1–15. https://doi.org/10.1007/s11213-010-9176-2

Miyahara M, Fukao A (2022) Exploring the use of collaborative autoethnography as a tool for facilitating the development of researcher reflexivity. System 105:102751. https://doi.org/10.1016/j.system.2022.102751

Nastar M, Abbas S, Aponte Rivero C, Jenkins S, Kooy M (2018) The emancipatory promise of participatory water governance for the urban poor: Reflections on the transition management approach in the cities of Dodowa, Ghana and Arusha, Tanzania. Afr Stud 77(4):504–525. https://doi.org/10.1080/00020184.2018.1459287

National Commission for the Protection of Human Subjects of Biomedical, & Behavioral Research. (1979) The Belmont report: Ethical principles and guidelines for the protection of human subjects of research ( Vol. 1 ) . United States Department of Health, Education, and Welfare. Online available here: https://www.hhs.gov/ohrp/regulations-and-policy/belmont-report/read-the-belmont-report/index.html

Norström AV, Cvitanovic C, Löf MF, West S, Wyborn C, Balvanera P, Bednarek AT, Bennett EM, Biggs R, de Bremond A, Campbell BM, Canadell JG, Carpenter SR, Folke C, Fulton EA, Gaffney O, Gelcich S, Jouffray JB, Leach M, Österblom H (2020) Principles for knowledge co-production in sustainability research. Nat. Sustainability 3(3):182–190. https://doi.org/10.1038/s41893-019-0448-2

Nowotny H, Scott P, Gibbons M (2003) Mode 2’ Revisited: The New Production of Knowledge. Minerva 41(3):179–194

Nugroho K, Carden F, Antlov H (2018) Local knowledge matters: Power, context and policy making in Indonesia. Policy Press, Bristol

Parks S, Rincon D, Parkinson S, Manville C (2019) The changing research landscape and reflections on national research assessment in the future . RAND. https://www.rand.org/pubs/research_reports/RR3200.html

Parsell M, Ambler T, Jacenyik-Trawoger C (2014) Ethics in higher education research. Stud High Educ 39(1):166–179. https://doi.org/10.1080/03075079.2011.647766

Pearce BJ, Deutsch L, Fry P, Marafatto FF, Lieu J (2022) Going beyond the AHA! moment: insight discovery for transdisciplinary research and learning. Hum Soc Sci Commun 9(1):123. https://doi.org/10.1057/s41599-022-01129-0

Phillips L, Christensen-Strynø MB, Frølunde L (2022) Thinking with autoethnography in collaborative research: a critical, reflexive approach to relational ethics. Qual Res 22(5):761–776. https://doi.org/10.1177/14687941211033446

Pohl C (2008) From science to policy through transdisciplinary research. Environ Sci Policy 11(1):46–53. https://doi.org/10.1016/j.envsci.2007.06.001

Pohl C, Krütli P, Stauffacher M (2017) Ten reflective steps for rendering research societally relevant. GAIA-Ecol Perspect Sci Soc 26(1):43–51. https://doi.org/10.14512/gaia.26.1.10

Popa F, Guillermin M, Dedeurwaerdere T (2015) A pragmatist approach to transdisciplinarity in sustainability research: from complex systems theory to reflexive science. Futures 65:45–56. https://doi.org/10.1016/j.futures.2014.02.002

Porter A (2016) Decolonizing policing: indigenous patrols, counter-policing and safety. Theor Criminol 20(4):548–565

Reason P, Torbert W (2001) The action turn: toward a transformational social science. Concepts Transform 6(1):1–37. https://doi.org/10.1075/cat.6.1.02rea

Reed MG, Abernethy P (2018) Facilitating Co-production of transdisciplinary knowledge for sustainability: working with canadian biosphere reserve practitioners. Soc Nat Resour 31(1):39–56. https://doi.org/10.1080/08941920.2017.1383545

Rovelli C (2021) Politics should listen to science, not hide behind it. Nat Mater 20(2):272–272. https://doi.org/10.1038/s41563-020-00891-3

Rowan J (2000) Research ethics. Int J Psychother 5(2):103–110

Saltelli A, Ravetz JR, Funtowicz S (2016) Who will solve the crisis in science? In: Benessia A, Funtowicz S, Giampietro M, Guimaraes Pereira A, Ravetz J, Saltelli A, Strand R, van der Sluijs JP (eds) The rightful place of science: Science on the verge. Consortium for Science, Policy & Outcomes

Savransky M (2017) A decolonial imagination: sociology, anthropology and the politics of reality. Sociology 51(1):11–26

Sayer A (2011) Why things matter to people: Social science, values and ethical life. Cambridge University Press, Cambridge

Schäpke N, Bergmann M, Stelzer F, Lang DJ (2018) Labs in the real world: advancing transdisciplinary research and sustainability transformation: mapping the field and emerging lines of inquiry. Gaia 27:8–11. https://doi.org/10.14512/gaia.27.S1.4

Schneider F, Giger M, Harari N, Moser S, Oberlack C, Providoli I, Schmid L, Tribaldos T, Zimmermann A (2019) Transdisciplinary co-production of knowledge and sustainability transformations: three generic mechanisms of impact generation. Environ Sci Policy 102(October):26–35. https://doi.org/10.1016/j.envsci.2019.08.017

Schneidewind U, Singer-Brodowski M, Augenstein K (2016) Transformative science for sustainability transitions. In: Handbook on sustainability transition and sustainable peace, Springer, pp 123–136

Schut M, Paassen AV, Leeuwis C, Klerkx L (2014) Towards dynamic research configurations: A framework for reflection on the contribution of research to policy and innovation processes. 41(August 2013), 207–218. https://doi.org/10.1093/scipol/sct048

Smith L (2008) Ethical principles in practice. Evidence from participatory action research. Kairaranga 9(3):16–21. https://doi.org/10.54322/kairaranga.v9i3.135

Stilgoe J, Owen R, Macnaghten P (2013) Developing a framework for responsible innovation. Res Policy 42(9):1568–1580. https://doi.org/10.1016/j.respol.2013.05.008

Stirling A (2006) Precaution, foresight and sustainability: Reflection and reflexivity in the governance of science and technology. In: Voß JP, Bauknecht D, Kemp R (eds) Reflexive governance for sustainable development, Edward Elgar Publishing, Cheltenham, pp 225–272

Strumińska-Kutra M, Scholl C (2022) Taking power seriously: towards a power-sensitive approach for transdisciplinary action research. Futures 135(December 2021):1–9. https://doi.org/10.1016/j.futures.2021.102881

Strydom WF, Funke N, Nienaber S, Nortje K, Steyn M (2010) Evidence-based policymaking: a review. South Afr J Sci 106(5/6):8 pages. https://doi.org/10.4102/sajs.v106i5/6.249

Temper L, Del Bene D (2016) Transforming knowledge creation for environmental and epistemic justice. Curr Opin Environ Sustain 20:41–49. https://doi.org/10.1016/j.cosust.2016.05.004

Temper L, McGarry D, Weber L (2019) From academic to political rigour: insights from the ‘Tarot’ of transgressive research. Ecol Econ 164:106379. https://doi.org/10.1016/j.ecolecon.2019.106379

Thomas KA, Warner BP (2019) Weaponizing vulnerability to climate change. Glob Environ Change 57:101928. https://doi.org/10.1016/j.gloenvcha.2019.101928

van Breda J, Swilling M (2019) The guiding logics and principles for designing emergent transdisciplinary research processes: learning experiences and reflections from a transdisciplinary urban case study in Enkanini informal settlement, South Africa. Sustain Sci 14(3):823–841. https://doi.org/10.1007/s11625-018-0606-x

van Steenbergen F (2020) Zonder marge geen centrum. Een pleidooi voor een rechtvaardige transitie. [PhD-Thesis]. Erasmus University Rotterdam

Vermeer J, Pinheiro H, Petrosova L, Eaton D (2020) Evaluation of the Belmont Forum: Final report. Technolopolis Group. https://www.belmontforum.org/wp-content/uploads/2023/09/Belmont-Forum-External-Evaluation.pdf

Vincent K (2022) Development geography I: Co-production. Prog Hum Geogr 46(3):890–897. https://doi.org/10.1177/0309132522107905

WBGU (2011) Flagship report: world in transition—a social contract for sustainability. In: Berlin: German Advisory

West S, Schill C (2022) Negotiating the ethical-political dimensions of research methods: a key competency in mixed methods, inter- and transdisciplinary, and co-production research. Hum Soc Sci Commun 9(1):294. https://doi.org/10.1057/s41599-022-01297-z

Wijsman K, Feagan M (2019) Rethinking knowledge systems for urban resilience: Feminist and decolonial contributions to just transformations. Environ Sci Policy 98:70–76. https://doi.org/10.1016/j.envsci.2019.04.017

Williamson GR, Prosser S (2002) Action research: politics, ethics and participation. J Adv Nurs 40(5):587–593. https://doi.org/10.1046/j.1365-2648.2002.02416.x

Article   PubMed   Google Scholar  

Wilson S (2020) Research is ceremony: Indigenous research methods. Fernwood Publishing. https://fernwoodpublishing.ca/book/research-is-ceremony-shawn-wilson

Wittmayer JM (2016) Transition Management, Action Research and Actor Roles: Understanding local sustainability transitions. Erasmus University Rotterdam

Wittmayer JM, Loorbach D, Bogner K, Hendlin Y, Hölscher K, Lavanga M, Vasques A, von Wirth T, de Wal M (2021) Transformative Research: Knowledge and action for just sustainability transitions (Design Impact Transition Platform Working Paper Series). Design Impact Transition Platform Erasmus University Rotterdam. https://pure.eur.nl/en/publications/transformative-research-knowledge-and-action-for-just-sustainabil

Wittmayer JM, Schäpke N (2014) Action, research and participation: roles of researchers in sustainability transitions. Sustain Sci 9(4):483–496. https://doi.org/10.1007/s11625-014-0258-4

Wood L, Kahts-Kramer S (2023) But how will you ensure the objectivity of the researcher?’ Guidelines to address possible misconceptions about the ethical imperatives of community-based research. Res Ethics 19(1):1–17. https://doi.org/10.1177/17470161221135882

Yanow D (2006) Neither rigorous nor objective? Interrogating criteria for knowledge claims in interpretive science. In: Yanow D, Schwartz-Shea P, Interpretation and Method. Empirical Research Methods and the Interpretive Turn, M.E. Sharpe, pp 67–88

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DRIFT, Erasmus University Rotterdam, Rotterdam, The Netherlands

Julia M. Wittmayer, Derk Loorbach & Neha Mungekar

Erasmus School of Social and Behavioural Sciences, Erasmus University Rotterdam, Rotterdam, The Netherlands

Julia M. Wittmayer, Timo von Wirth, Tessa Boumans & Neha Mungekar

Faculty of Education, McGill University, Montreal, Canada

Ying-Syuan (Elaine) Huang

Copernicus Institute of Sustainable Development, Faculty of Geosciences, University of Utrecht, Utrecht, The Netherlands

Kristina Bogner

MaREI Centre for Energy Climate and Marine, University College Cork, Cork, Ireland

Department of Human Geography and Spatial Planning, Faculty of Geosciences, University of Utrecht, Utrecht, The Netherlands

Katharina Hölscher

Research Lab for Urban Transport (ReLUT), Frankfurt University of Applied Sciences, Frankfurt am Main, Germany

Timo von Wirth

Business Management & Organisation Group, Wageningen University, Wageningen, The Netherlands

Jilde Garst

Erasmus School of Philosophy, Erasmus University Rotterdam, Rotterdam, The Netherlands

Yogi Hale Hendlin

Erasmus School of History, Culture and Communication, Erasmus University Rotterdam, Rotterdam, The Netherlands

Mariangela Lavanga

Stellenbosch University, Stellenbosch, South Africa

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Julia M. Wittmayer and Ying-Syuan Huang drafted the work for important intellectual content, substantially contributed to the concept and design of the work, and contributed to the analysis and interpretation of data for the work. Kristina Bogner, Evan Boyle, Katharina Hölscher, and Timo von Wirth substantially contributed to the concept or design of the work and contributed to the analysis or interpretation of data for the work. Tessa Boumans, Jilde Garst, Yogi Hendlin, Mariangela Lavanga, Derk Loorbach, Neha Mungekar, Mapula Tshangela, Pieter Vandekerckhove, and Ana Vasues contributed to the analysis or interpretation of data for the work.

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Wittmayer, J.M., Huang, YS.(., Bogner, K. et al. Neither right nor wrong? Ethics of collaboration in transformative research for sustainable futures. Humanit Soc Sci Commun 11 , 677 (2024). https://doi.org/10.1057/s41599-024-03178-z

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Radiology Informatics Data Scientist

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The Department of Radiology, University of Wisconsin - Madison, School of Medicine & Public Health is seeking a Radiology Informatics Data Scientist who will work under the direction of Dr. John Garrett and will work closely with other staff, medical school groups, UW Health, and the Radiology Informatics team. Dr. Garrett's research focuses on developing novel tools for radiological imaging, leveraging new tools and technologies such as deep learning, and a particular emphasis on translation of novel techniques into clinical practice. Deep learning and machine learning have seen a meteoric rise in applications within Radiology. This growth is both driving the need for high quality curated datasets and mechanisms to introduce these tools into clinical practice. The Radiology Informatics Data Scientist will be responsible for data cleaning and management, the development and maintenance of clinical research databases, helping develop and deploy novel imaging tools, and disseminating new knowledge through abstracts, posters, presentations, and manuscripts. They will be also involved in project monitoring and evaluation, data analysis, oversight of trainees, and dissemination of program results and will work closely with the Department of Radiology's Informatics Analysts.

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Market Research

Business planning, website development, product or service selection, marketing and promotion, is it a good idea to start an online business, can i start an online business with $100, what are different types of online marketing strategies, the bottom line.

• Small Business
• How to Start a Business

Starting an Online Business: A Step-by-Step Guide

Crafting a Winning Business Plan: Setting Goals and Strategies

Katie Miller is a consumer financial services expert. She worked for almost two decades as an executive, leading multi-billion dollar mortgage, credit card, and savings portfolios with operations worldwide and a unique focus on the consumer. Her mortgage expertise was honed post-2008 crisis as she implemented the significant changes resulting from Dodd-Frank required regulations.

• How to Start a Business: A Comprehensive Guide and Essential Steps
• How to Do Market Research, Types, and Example
• Marketing Strategy: What It Is, How It Works, How To Create One
• Marketing in Business: Strategies and Types Explained
• What Is a Marketing Plan? Types and How to Write One
• Business Development: Definition, Strategies, Steps & Skills
• Business Plan: What It Is, What's Included, and How to Write One
• Small Business Development Center (SBDC): Meaning, Types, Impact
• How to Write a Business Plan for a Loan
• Business Startup Costs: It’s in the Details
• Startup Capital Definition, Types, and Risks
• Bootstrapping Definition, Strategies, and Pros/Cons
• Crowdfunding: What It Is, How It Works, and Popular Websites
• Starting a Business with No Money: How to Begin
• A Comprehensive Guide to Establishing Business Credit
• Equity Financing: What It Is, How It Works, Pros and Cons
• Best Startup Business Loans
• Sole Proprietorship: What It Is, Pros & Cons, and Differences From an LLC
• Partnership: Definition, How It Works, Taxation, and Types
• What is an LLC? Limited Liability Company Structure and Benefits Defined
• Corporation: What It Is and How to Form One
• Starting a Small Business: Your Complete How-to Guide
• Starting an Online Business: A Step-by-Step Guide CURRENT ARTICLE
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• How to Start a Successful Dropshipping Business: A Comprehensive Guide

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If you want to get into the online business game, it’s a good time to start. The COVID-19 pandemic reshaped online consumer spending, including how people shop online and how they research products.

Today, 76% of Americans buy products online. Furthermore, roughly a third of people purchase items online weekly. From setting up an ecommerce business to offering web design services, there are countless avenues to explore as an entrepreneur.

Below, we’ll walk through each step to building an online business.

Key Takeaways

• When starting an online business, comprehensive market research is critical for identifying your target audience and learning how to resonate with your customers and understand their needs.
• Creating a business plan is an important step for outlining your business goals. It also includes your product description, target market, and financial projections, among other core components.
• Building your website involves setting up a domain name, finding a hosting company, and designing a strong website with consistent branding that allows your customers to navigate it intuitively.
• Choosing the right product or service to sell is essential. It’s important to think about how you’re addressing an unmet need.
• Several digital marketing strategies can be utilized, from content marketing to paid advertising, to help your business grow.

Successful online entrepreneurs study hard in order to have a thorough understanding of their market. This is important for knowing exactly how to reach your target market , because these are the people who will buy your products and drive your business growth.

At its core, market research is about understanding your customers’ needs, pain points, and solutions. It is designed to help your business better meet these needs.

Steps to Conduct Market Research

Market research involves understanding key aspects of your current and future customers. To get a clear sense of your target market, outline the characteristics of your audience—for example, age, location, gender, income, job title, and key pain points.

Once you have identified your target audience, conduct research on the following topics, which will tell you about how they make decisions and how you can better position your business:

• What are the challenges that your target market faces?
• Where do they research a given product or service?
• What are their views on pricing for this product or service?
• What factors influence their decision to make a purchase?
• Who are your competitors?

To put this market research into action, there are a number of different avenues you can take:

• Focus groups
• Competitive analysis
• Brand awareness research
• Market segmentation research

Consider the following questions that may be asked in an interview or focus group to learn more about your audience:

• “How do you search for that product?”
• “How useful was it?”
• “What words do you use when you search on Google?”

When you have completed your market research, identify what you have learned as well as your next steps based on these insights.

Creating a business plan is a key first step for all business owners . It is important for companies looking to secure funding resources. It also serves as a blueprint to summarize your key business objectives and goals.

To write a business plan , incorporate these eight main sections, which are often found in traditional templates:

• Executive summary : This is typically a one-page section that explains your objectives and includes your mission statement, core team, and why your company is positioned for success.
• Company description : This describes what you offer, your competitive advantages, and your business goals.
• Market analysis : This is where you explain your target market, market size, market trends, and competitive landscape.
• Organization and management : Explain who is working on your team and their professional background and experience.
• Service or product line : Describe the product or service you are offering, including any copyright or plans for patenting.
• Marketing and sales : Discuss your marketing and sales strategy. Discuss your pricing, key metrics, and sales plan.
• Funding request : If you are a company looking for funding, here is where you outline the capital you are requesting and where it will be allocated.
• Financial projections : Include projections for your company’s revenue and expenses. Consider including an income statement, balance sheet, and cash flow statement in this section.

A business plan is important because it helps clarify your action points, who you are, and what you offer, all in a coherent template.

Getting your business online is the next key step. In an ever-changing environment, it is important to know the tools, trends, and strategies for building a strong online presence to allow your business to grow.

Registering Your Domain

The first step is registering your name, or your website address. This can be in the form of your business name “.com.” To purchase your domain name, you can go to sites like GoDaddy or Namecheap . If you decide to build your website using WordPress, you will need to use a site such as these to host your website.

Web Hosting Companies

Alternatively, you can buy your domain name at a hosting company. These are companies like Shopify , Wix , or Amazon Web Services , that may also offer tools to build your website and release content on them. 

Website Design

A well-designed website is important for many reasons. Using a website builder, such as Mailchimp or Squarespace , can allow you to choose a theme, customize your pages, create relevant content, and set up a payment page.

Other key aspects of your website design include its functionality, simplicity, and ease of use. Allowing your potential customers to navigate the site intuitively will be key to their experience. Brand consistency—in your logo, colors, and typeface, for example—is also key to creating a unified brand.

Another essential part of website design is its mobile application. You’ll want to ensure that your website runs smoothly on mobile, that images load properly, that the text is legible, and that buttons are intuitive to click.

This step focuses on how to choose the right product or service to sell. At the heart of this choice is the goal of solving a customer’s problem. But there are a number of strategies you can use to identify your product idea.

For example, you might consider analyzing companies with high-profit margins, products that align with your passion, burgeoning trends, items trending on online marketplaces, and/or customer reviews.

With this in mind, analyze how this product will get to your customers. Additionally, you may consider products that are not available in stores in your local market but are offered in communities such as Europe or Japan, for example.

Marketing strategy and promotion is an essential driver of business growth. As the digital landscape evolves, it’s important to have an effective marketing plan that resonates with changing consumer preferences and needs.

Here are questions that companies can consider as they create their marketing strategy, navigating today’s environment:

• Impact, value, and growth : What are the goals and key performance indicators (KPIs) that will measure success for your business? How will you explain the value that the business provides to its customers and/or society? Create an “elevator speech”—a 30-second description of what you offer and why it’s special.
• Customer need and brand promise : How does the brand meet a customer’s need through its products and services?
• Customer experience : How will the business deliver the best experiences at each stage of the customer journey?
• Organizational model : How will the business operate to serve the customer with the most impact?

These will help you understand what types of strategies can have real impact.

Types of Marketing Strategies

Consider the following digital marketing strategies that can be used for your online business:

• Email marketing
• Social media marketing
• Paid advertising
• Search engine optimization (SEO)
• Content marketing
• Influencer marketing

Each of these presents a different way to reach your target audience, drive conversions, or build brand awareness, depending on your marketing goals.

You need to determine that for yourself. But before starting an online business, it’s important to assess the time, investment, and resources you’ll need to get it off the ground. While the barrier to entry can be quite low, it’s worth considering your goals and strategies for making it a reality.

However, compared with starting up a traditional brick-and-mortar business, the risks of launching an online business may be reduced due to lower upfront costs such as rent, staff, and materials, among others.

The short answer: yes. While it depends on the type of business you hope to pursue, there are many ways to set up an online business at very little cost. For example, you could offer your services doing freelance work, photography, bookkeeping, or personal training. The primary costs involved include setting up your business website, which can cost as little as $2 to $20 each year with companies such as GoDaddy.

There are a number of digital marketing strategies that online businesses can use, such as content marketing, email marketing, paid advertising, SEO, and influencer marketing. Each of these strategies can be useful, depending on your product and goals.

Starting an online business can be a powerful way to launch a new product or service while reaching a wider audience. With market research, a solid business plan, a strong website, and a digital marketing strategy, you can get started in growing your company effectively. As customers increasingly make decisions virtually, building an online business is vital to any business owner’s success.

Pew Research Center. “ For Shopping, Phones Are Common and Influencers Have Become a Factor—Especially for Young Adults .”

U.S. Small Business Administration. “ Market Research and Competitive Analysis .”

U.S. Small Business Administration. “ Write Your Business Plan .”

Ogilvy. “ Getting Future Ready with Marketing Transformation ,” Page 15.

GoDaddy. “ How Much Does a Domain Name Cost? Find Out! ”

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The childcare conundrum: How can companies ease working parents’ return to the office?

Finding quality, affordable childcare has long been an issue for working parents in the United States, but events of the past two years have only intensified the challenge and highlighted what a porous, patchwork system childcare has become.

The global pandemic drove many day care centers, after-school programs, private nannies and babysitters, and other childcare resources to reduce their hours, change the scope of their services, or close their doors altogether. In response, some working parents in the United States left or considered leaving the workforce  as they struggled to meet employers’ work-from-home demands while still attending to the needs of homebound toddlers and school-aged children.

According to survey research we conducted recently with the Marshall Plan for Moms, 1 In February 2022, we conducted surveys of working parents across the United States. The surveys spanned multiple industries and demographic groups, with a population that was representative of census-tract demographics. There were 2,000 respondents who were parents of children under age 14 and 1,003 parents of children aged five and under. Marshall Plan for Moms (marshallplanformoms.com) is a campaign of the nonprofit organization Girls Who Code. the childcare conundrum continues: workable childcare options remain elusive for those planning a return to the workforce, for those who never left, and particularly for working mothers with preschool-aged children.

Indeed, the survey shows that 45 percent of mothers with children aged five and under who left the workforce during the COVID-19 pandemic cited childcare as a major reason for their departure, compared with just 14 percent of fathers who said the same. Additionally, 24 percent of the mothers with children aged five and under said they had considered reducing their hours or moving to a part-time schedule, compared with 18 percent of the fathers.

Many of these parents are midtenure employees who enhance the social fabric of their organizations— as many women managers have done in supporting colleagues’ health and well-being during the COVID-19 pandemic. If these parents do drop out, companies stand to lose functional expertise, institutional knowledge, managerial capabilities, and mentorship at a time when such skills are needed most.

As companies begin to think about managing returning talent and attracting new joiners—whether in traditional or hybrid work environments —they can no longer ignore employees’ (and potential employees’) childcare requirements. In this article, we review the findings from our research and outline the key challenges for working parents (particularly working mothers) with respect to affordability, quality, reliability, convenience, and accessibility of childcare.

Gone for now, or gone for good? How to play the new talent game and win back workers

We also suggest some ways for companies to better support their employees’ childcare-related needs. And it is important to start doing so now: the social contract between employers and employees in corporate America is being fundamentally rewritten on the fly. By removing penalties for parents who are taking care of young children, companies can turn the Great Attrition into the Great Attraction  and develop and advance more diverse talent.

Understanding the pain points

Our research points to five core challenges parents have had and are still facing in securing sustainable, equitable childcare.

Affordability. The cost of childcare varies across the United States depending on region and age of child; in general, however, care for very young children tends to be the most expensive given the recommended lower child-to-teacher ratios. 2 Hunter Blair and Elise Gould, “Who’s paying now? The explicit and implicit costs of the current early childcare and education system,” Economic Policy Institute, January 15, 2020.

It will likely come as no surprise, then, that for the working parents in our survey with children aged five and under, affordability was ranked as the top childcare concern (or tied for first with another concern). Cost was a particular concern for women and parents who worked hourly jobs and had to find care for children aged five and under (Exhibit 1).

The US Department of Health and Human Services (HHS) considers 7 percent of a family’s household income to be the threshold amount for childcare to be deemed affordable. Under that standard, the average annual cost of childcare for one child (about $9,400) would not be affordable for a family with a median household income below $130,000. 3 For information about family copayment contributions, see “Family Copayment Contribution,” Child Care Technical Assistance Network, accessed April 2022; and “Picking up the pieces: Building a better child care system post COVID-19,” Child Care Aware of America, July 2020.

Quality. Respondents ranked quality almost as high as affordability in our survey: 48 percent of parents with children aged five and under who are receiving some form of childcare said quality was their top concern (or tied for first with another concern). Parents overwhelmingly said they want their children in safe, supportive educational environments—though, according to academic research, only 13 percent of two-year-olds in the United States currently attend childcare settings that would be deemed high quality. 4 Emma K. Lee and Zachary Parolin, “The care burden during COVID-19: A national database of child care closures in the United States,” Sociological Research for a Dynamic World , Volume 7, January–December 2021.

Reliability. Industry data show that about 35 percent of childcare centers that were shuttered during the COVID-19 pandemic remain closed for various staffing and financial reasons. 5 Emma K. Lee and Zachary Parolin, “The care burden during COVID-19: A national database of child care closures in the United States,” Sociological Research for a Dynamic World , Volume 7, January–December 2021. When primary childcare options such as these are unavailable, working parents need access to reliable backups so they don’t have to significantly modify their work schedules or take time off entirely. However, only 8 percent of the working parents in our survey with children aged five and under said their employer provided access to emergency and backup childcare, and only 13 percent said their employer provided paid emergency-care days.

The lack of childcare backup may help explain why 50 percent of the working mothers in the cohort with children aged five and under believed their childcare responsibilities became “somewhat more difficult” or “much more difficult” during the COVID-19 pandemic; 40 percent of working fathers in this cohort said the same. Indeed, some 34 percent of working mothers reported childcare concerns as a top reason for voluntarily leaving the workforce, compared with 20 percent of working fathers (Exhibit 2). Those findings square with data from McKinsey and LeanIn.Org’s recent Women in the Workplace  report, which points to high rates of burnout among mothers of young children during the pandemic.

Convenience. Some 28 percent of the parents in our survey with children aged five and under who are receiving some form of childcare rated convenience as a top concern (or tied for first with another concern). While not as much of a deal breaker as affordability, questions of convenience did play a big role in these parents’ childcare decisions—for instance, is the childcare center close to the office (or close to home in the case of hybrid situations)? Do the center’s hours of operation match parents’ work schedules? If not, parents may be discouraged from signing up their children for caregiving programs, and the already-precarious work–life balance for employees may remain off-kilter.

Accessibility. In many US communities, there is often not enough childcare to adequately serve the population. According to a 2018 study by the Center for American Progress (CAP), more than half of US residents live in a childcare desert—communities where there may be three or more children for every available licensed childcare slot. These deserts are situated almost equally within rural and urban communities. 6 The Coronavirus will make child care deserts worse and exacerbate inequality , Center for American Progress Action Fund, June 22, 2020.

How can companies support employees’ childcare needs?

The working parents in our survey highlighted significant pain points in the childcare landscape, particularly in the care of very young children—but they also revealed some of what it would take to mitigate these issues and usher their return to the workplace. The data we compiled on recruitment, retention, and advancement may be of particular interest to companies that are reconsidering their employee value propositions in the wake of the Great Attrition . The employers who pay attention to this feedback, and act thoughtfully to support employees’ childcare needs, may gain a competitive edge with current and prospective employees. They may even establish themselves as destination workplaces over the long term—truly differentiating themselves in the ever-evolving talent game.

Recruitment and attraction

When it comes to recruitment and attraction, 69 percent of the women with children aged five and under who are currently looking for employment said they would be more likely to choose an employer that offered assistance with childcare expenses or provided access to on-site childcare. About half the respondents cited flexible working arrangements as the top reason they would pick one job over another, while 26 percent of respondents ranked predictable hours and scheduling as first priorities (assuming their compensation remained the same).

When deciding whether to stay with a company or switch to another, 83 percent of the women and 81 percent of the men in our survey with children aged five and under said that childcare benefits would be a “very important” or “somewhat important” factor in the decision. About 40 percent of respondents who were considering moving to a less-demanding job said that on-site childcare services at their current company may cause them to reconsider. And 38 percent of respondents said that their companies’ assistance with childcare expenses would also be a key factor in their staying put.

Advancement

The working mothers of children aged five and under in our research base said they received fewer professional-development opportunities as a result of their childcare responsibilities. Indeed, 57 percent reported feeling held back professionally for this very reason, compared with 38 percent of working fathers in our survey (Exhibit 3). Fifty-three percent of working mothers with children aged five and under who left the workforce temporarily, reduced their hours, or moved to a less-demanding job said they did so in full or in part because of childcare responsibilities. Additionally, 40 percent of respondents who refrained from pursuing promotion said having access to on-site childcare would have allowed them to reverse that decision.

Fifty-three percent of working mothers with children aged five and under who left the workforce temporarily, reduced their hours, or moved to a less-demanding job said they did so in full or in part because of childcare responsibilities.

Making the commitment

How companies choose to support employees’ childcare efforts will differ depending on industry context, operational implications, and available resources. However, particularly as people return to work (in whatever combination of physical and virtual presence that entails) and rebuild connections, there is no downside to polling working parents within your organization, identifying the childcare pain points unique to your organization, and discussing ways to address both the company’s and employees’ needs.

That’s what business leaders at the financial services company Synchrony did during the COVID-19 pandemic: they assessed the childcare needs of their corporate and call-center employees through surveys and listening sessions. As a result of that exercise, the company developed a package of benefits that has helped to empower and support working parents. The package included an extension from 25 to 60 days of backup childcare, the addition of virtual after-school and summer camp programs and tutoring, the distribution of laptops to further children’s education, and flexibility in employees’ hours and work location.

Other forms of commitment to employees may include:

• Addressing the childcare affordability gap. Companies may offer full or partial tuition subsidies for center- or home-based care, flexible-spending accounts for dependent care, or creative financing models to cover childcare costs in the first five years of a child’s life (the most expensive in terms of caregiving services).
• Expanding employees’ access to childcare. Companies may want to explore on-site day care initiatives, as Patagonia has done, offering childcare at its headquarters in California and at a distribution center in Reno, Nevada. Tuition is on a sliding scale, and services are available to both hourly and salaried workers. The company has reported 25 percent lower turnover rates among employees who use the childcare program compared with the overall workforce. 7 Kathryn Mayer, “Patagonia’s secret to employee engagement? Onsite daycare,” Employee Benefit News, June 28, 2017. Alternatively, companies could offer excess space in their facilities to childcare operators or provide demand guarantees to operators in childcare deserts.
• Making childcare more convenient. Companies can make childcare more convenient for working parents by addressing their need for flexible arrangements and hours—for instance, allowing them to change when they start and end their workdays so they can better meet childcare center drop-off and pickup deadlines. One professional-services firm has established a “bring your baby to work” program that allows new working mothers in particular to ease into changed routines at home and at work. Other businesses are offering telework and hybrid work arrangements to working parents (including both salaried and hourly employees). Synchrony, for instance, has adopted enhanced flex scheduling that allows team members to work through a centralized system to determine how and where they may be able to take hours off and make them up later. The company also employs split shifts, which lets employees complete a four-hour shift in the morning and a four-hour shift in the evening with extended time off in the middle of the day. Employees can also take vacation or personal time off in hourly increments.
• Ensuring greater reliability in childcare. Some companies offer services that give employees access to backup care if a nanny is sick, a home-based day care closes suddenly, or another emergency crops up. Such services may be subsidized by the company, in part or in whole. Synchrony’s backup-care benefit is notable in that the company cut the red tape and made it very easy for employees to choose the best provider for the situation ahead of time—whether a family member or a childcare center or other third-party option—ensuring that employees could get backup childcare on short notice.
• Raising the bar on quality. There are many ways employers can help working parents find quality childcare—including serving as a conduit to critical community information. A large clothing retailer, for instance, conducted a childcare census to understand the challenges and needs of working parents. Armed with such data, the company reached out to service providers and other key stakeholders in the community to identify the most relevant resources and share them with working parents.

Following the COVID-19 pandemic and the Great Attrition, the country is at a critical juncture where improving the childcare experience is fundamentally tied to gender equity and economic competitiveness. Corporate leaders have a unique opportunity to innovate in childcare support and help working families achieve their full potential. Providing this kind of support goes beyond the realm of employee benefits; it is core to employers’ value propositions and talent-development strategies.

Sarah Gitlin is an associate partner in McKinsey’s Washington, DC, office; Ayushi Gummadi is a consultant in the Bay Area office, where Alexis Krivkovich is a senior partner and Kunal Modi is a partner.

The authors wish to thank Kweilin Ellingrud, Dina Kuttab, Brandon Lu, Tracy Nowski, and Ramesh Srinivasan for their contributions to this article.

This article was edited by Roberta Fusaro, an executive editor in the Waltham, Massachusetts, office.

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Analyzing the emergence of covid variant kp.2 and its potential impact.

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Mutating virus variant and cell mutation variants as a health risk concept and new coronavirus ... [+] outbreak or covid-19 viral cells mutations and influenza background as a 3D render.

It is clear that SARS-CoV-2, the agent of the Covid-19 epidemic, is here to stay. Like influenza, an easily transmissible respiratory virus, SARS-CoV-2 mutates to evade the immune system of those who have been previously vaccinated, infected, or both. The question remains: how dangerous is each new version of SARS-CoV-2? Again, like the Flu, if you have been previously vaccinated, infected, or both, new variants are not so dangerous, but if you have not, emerging versions of SARS-CoV-2 could be life-threatening for those vulnerable.

As Summer approaches, another series of new strains is on the horizon. While these are derived from the original Omicron and share many similarities, they are sufficiently different to spark a new wave of Covid-19 cases.

One new variant, KP.2, could lead the surge during the upcoming summer. This recently identified variant is mainly spreading in the United States, Canada, and the United Kingdom, with rising levels in Singapore, New Zealand, and Australia. As of now, there have been 1,816 reported cases of KP.2 in the GISAID SARS-CoV-2 database, indicating that potentially thousands, if not tens of thousands, of individuals, have already been infected with this variant, as sequencing efforts have been significantly limited in recent years.

KP.2 belongs to a group recently characterized as the FLiRT variants. This name is derived from the technical designations of two critical mutations in their spike proteins: the F456L mutation and the R346T mutation.

The FLiRT grouping is a subset of variants on the Omicron tree, which has primarily fueled SARS-CoV-2 infections over the previous two years. KP.2 is structured similarly to previous major Omicron variants, including BA.2.86, JN.1, and XBB.1.5.

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The variability of Omicron is extensive. As with Influenza for many years, the past is prologue with the SARS-CoV-2 virus. Over time, new variants emerge containing unique mutations, not only in the spike protein, but throughout the whole of the virus genome. Below is a diagram demonstrating the web of Omicron variants that have emerged over the past several months. KP.2 and its FLiRT variant grouping are found in the top right corner, shaded in light green.

FIGURE 1: Diagram depicting the evolutionary nature of SARS-CoV-2, as demonstrated by the ... [+] proliferation of Omicron variants. KP.2 and family are found in the top right corner.

As JN.1 is the most recent dominant variant, we will compare it to KP.2 throughout this article to demonstrate how KP.2 may differentiate itself from previous variants and indicate why it may ignite a new rise in cases this summer.

FIGURE 2: Gradual increase of KP.2 replacing JN.1 as the dominant variant in the United States.

Let's start with the spike protein. SARS-CoV-2 needs to attach to human cells using the ACE2 receptor, merge its membrane with the host cell membrane, and ultimately gain access to start the infection and reproduction within human cells. Importantly, this protein is the main focus for vaccines, antibodies, and antiviral treatments against Covid-19.

As with JN.1, many spike protein mutations in KP.2 are also present in earlier variants of concern, including E484K and N501Y. These variants, known as the Alpha and Beta variants of SARS-CoV-2, were first detected in early 2021.

In fact, there are only three spike protein differences between KP.2 and JN.1. Two of these are the namesake of KP.2’s FLiRT grouping.

A single mutational variation exists in the N-terminal region, which is involved in virus entry after infection. In KP.2, R346T is present, which could enhance the efficiency of viral entry and enable antibody evasion by introducing N-glycosylation sites.

In the receptor-binding domain, just one change from JN.1 could significantly impact F456L, which may enhance ACE2 binding affinity or decrease antibody binding efficiency.

Finally, V1104L has been added to the S2 subunit of the spike protein, which may improve the efficiency of the fusion of the viral envelope with the host cell membrane, allowing the viral genome to enter the cell.

FIGURE 3: Spike protein mutational profile of KP.2 compared to JN.1.

I'd like to highlight mutations occurring outside of the spike region, which could significantly impact the virus's ability to cause disease and spread. In various parts of the genetic material, there is a wide range of mutations in the Orf1ab replication-transcription complex (NSP1-16), some in the structural proteins (E, M, and N), and a few in the accessory proteins (Orf3a-8). We are drawing attention to these mutations because changes in specific proteins, especially the N protein, can considerably affect virus replication.

Below is the entire catalog of mutations found throughout the virus.

FIGURE 4: KP.2 nonspike mutation.

There is only one nonspike mutational difference from JN.1 in KP.2. It lies in the Orf1a collection, which contains 11 proteins involved in a number of replication processes. This mutation is NSP3 T1465I.

Non-structural protein three is one of the most complicated proteins in the SARS-CoV-2 virus. Among its many functions are proteolytic activity, formation of replication-transcription complexes, antagonizing host immune response, regulating viral translation, and inducing cell death. T1465I could improve any of these functions, though it is difficult to pinpoint which or to what extent.

I have noted the extensively mutated N protein. Mutations at R203K and G204R have been present in most virus variants during the pandemic and are likely to enhance the rate of viral replication. Although these mutations are identical to those in JN.1, the N protein continues to play a crucial role in the virus's pathogenicity.

The changes in the mutations, both within and outside of the spike protein, have multiple reasons: The first reason is to adjust for increased infectivity; the second is to evade neutralizing antibodies; the third is to adapt for more effective post-infection development, which includes replication supported by mutations in the N protein; and the fourth is to avoid recognition by T cells.

Furthermore, it is worth mentioning that this virus, along with most sequenced variants throughout the Covid-19 epidemic, shares three mutations with the first departing variant from the original Wuhan virus. These are D614G in the spike, P323L in NSP12, and the C241U synonymous mutation in the 5’ end of the virus.

In fact, there are numerous synonymous mutations scattered throughout KP.2, but gathering data on these mutations is much more complex than collecting data on amino acid mutations.

The synonymous mutations do not change the virus's amino acid sequence, but they do influence the tertiary structure of its RNA. Research indicates this can contribute to the virus's adaptation to the human host environment. These mutations also impact the abundance of viral proteins and the immune responses in the infected individual.

It remains to be seen whether KP.2 will cause a new wave of Covid cases akin to Alpha or Omicron in years past. Further, current data cannot confirm whether this variant is more pathogenic or viral than JN.1, particularly for those previously infected or vaccinated. For those who have not been infected or vaccinated, infection with KP.2 could be very serious, and they should exercise caution.

It is crucial to be aware of these threats before they become widespread, not after. As we enter the summer months, another wave of cases could likely occur, and KP.2 is an avenue for that.

To read more of my work, please visit www.williamhaseltine.com .

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