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One of the hardest parts of writing a research paper can be just finding a good topic to write about. Fortunately we've done the hard work for you and have compiled a list of 113 interesting research paper topics. They've been organized into ten categories and cover a wide range of subjects so you can easily find the best topic for you.

In addition to the list of good research topics, we've included advice on what makes a good research paper topic and how you can use your topic to start writing a great paper.

What Makes a Good Research Paper Topic?

Not all research paper topics are created equal, and you want to make sure you choose a great topic before you start writing. Below are the three most important factors to consider to make sure you choose the best research paper topics.

#1: It's Something You're Interested In

A paper is always easier to write if you're interested in the topic, and you'll be more motivated to do in-depth research and write a paper that really covers the entire subject. Even if a certain research paper topic is getting a lot of buzz right now or other people seem interested in writing about it, don't feel tempted to make it your topic unless you genuinely have some sort of interest in it as well.

#2: There's Enough Information to Write a Paper

Even if you come up with the absolute best research paper topic and you're so excited to write about it, you won't be able to produce a good paper if there isn't enough research about the topic. This can happen for very specific or specialized topics, as well as topics that are too new to have enough research done on them at the moment. Easy research paper topics will always be topics with enough information to write a full-length paper.

Trying to write a research paper on a topic that doesn't have much research on it is incredibly hard, so before you decide on a topic, do a bit of preliminary searching and make sure you'll have all the information you need to write your paper.

#3: It Fits Your Teacher's Guidelines

Don't get so carried away looking at lists of research paper topics that you forget any requirements or restrictions your teacher may have put on research topic ideas. If you're writing a research paper on a health-related topic, deciding to write about the impact of rap on the music scene probably won't be allowed, but there may be some sort of leeway. For example, if you're really interested in current events but your teacher wants you to write a research paper on a history topic, you may be able to choose a topic that fits both categories, like exploring the relationship between the US and North Korea. No matter what, always get your research paper topic approved by your teacher first before you begin writing.

113 Good Research Paper Topics

Below are 113 good research topics to help you get you started on your paper. We've organized them into ten categories to make it easier to find the type of research paper topics you're looking for.

Arts/Culture

  • Discuss the main differences in art from the Italian Renaissance and the Northern Renaissance .
  • Analyze the impact a famous artist had on the world.
  • How is sexism portrayed in different types of media (music, film, video games, etc.)? Has the amount/type of sexism changed over the years?
  • How has the music of slaves brought over from Africa shaped modern American music?
  • How has rap music evolved in the past decade?
  • How has the portrayal of minorities in the media changed?

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Current Events

  • What have been the impacts of China's one child policy?
  • How have the goals of feminists changed over the decades?
  • How has the Trump presidency changed international relations?
  • Analyze the history of the relationship between the United States and North Korea.
  • What factors contributed to the current decline in the rate of unemployment?
  • What have been the impacts of states which have increased their minimum wage?
  • How do US immigration laws compare to immigration laws of other countries?
  • How have the US's immigration laws changed in the past few years/decades?
  • How has the Black Lives Matter movement affected discussions and view about racism in the US?
  • What impact has the Affordable Care Act had on healthcare in the US?
  • What factors contributed to the UK deciding to leave the EU (Brexit)?
  • What factors contributed to China becoming an economic power?
  • Discuss the history of Bitcoin or other cryptocurrencies  (some of which tokenize the S&P 500 Index on the blockchain) .
  • Do students in schools that eliminate grades do better in college and their careers?
  • Do students from wealthier backgrounds score higher on standardized tests?
  • Do students who receive free meals at school get higher grades compared to when they weren't receiving a free meal?
  • Do students who attend charter schools score higher on standardized tests than students in public schools?
  • Do students learn better in same-sex classrooms?
  • How does giving each student access to an iPad or laptop affect their studies?
  • What are the benefits and drawbacks of the Montessori Method ?
  • Do children who attend preschool do better in school later on?
  • What was the impact of the No Child Left Behind act?
  • How does the US education system compare to education systems in other countries?
  • What impact does mandatory physical education classes have on students' health?
  • Which methods are most effective at reducing bullying in schools?
  • Do homeschoolers who attend college do as well as students who attended traditional schools?
  • Does offering tenure increase or decrease quality of teaching?
  • How does college debt affect future life choices of students?
  • Should graduate students be able to form unions?

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  • What are different ways to lower gun-related deaths in the US?
  • How and why have divorce rates changed over time?
  • Is affirmative action still necessary in education and/or the workplace?
  • Should physician-assisted suicide be legal?
  • How has stem cell research impacted the medical field?
  • How can human trafficking be reduced in the United States/world?
  • Should people be able to donate organs in exchange for money?
  • Which types of juvenile punishment have proven most effective at preventing future crimes?
  • Has the increase in US airport security made passengers safer?
  • Analyze the immigration policies of certain countries and how they are similar and different from one another.
  • Several states have legalized recreational marijuana. What positive and negative impacts have they experienced as a result?
  • Do tariffs increase the number of domestic jobs?
  • Which prison reforms have proven most effective?
  • Should governments be able to censor certain information on the internet?
  • Which methods/programs have been most effective at reducing teen pregnancy?
  • What are the benefits and drawbacks of the Keto diet?
  • How effective are different exercise regimes for losing weight and maintaining weight loss?
  • How do the healthcare plans of various countries differ from each other?
  • What are the most effective ways to treat depression ?
  • What are the pros and cons of genetically modified foods?
  • Which methods are most effective for improving memory?
  • What can be done to lower healthcare costs in the US?
  • What factors contributed to the current opioid crisis?
  • Analyze the history and impact of the HIV/AIDS epidemic .
  • Are low-carbohydrate or low-fat diets more effective for weight loss?
  • How much exercise should the average adult be getting each week?
  • Which methods are most effective to get parents to vaccinate their children?
  • What are the pros and cons of clean needle programs?
  • How does stress affect the body?
  • Discuss the history of the conflict between Israel and the Palestinians.
  • What were the causes and effects of the Salem Witch Trials?
  • Who was responsible for the Iran-Contra situation?
  • How has New Orleans and the government's response to natural disasters changed since Hurricane Katrina?
  • What events led to the fall of the Roman Empire?
  • What were the impacts of British rule in India ?
  • Was the atomic bombing of Hiroshima and Nagasaki necessary?
  • What were the successes and failures of the women's suffrage movement in the United States?
  • What were the causes of the Civil War?
  • How did Abraham Lincoln's assassination impact the country and reconstruction after the Civil War?
  • Which factors contributed to the colonies winning the American Revolution?
  • What caused Hitler's rise to power?
  • Discuss how a specific invention impacted history.
  • What led to Cleopatra's fall as ruler of Egypt?
  • How has Japan changed and evolved over the centuries?
  • What were the causes of the Rwandan genocide ?

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  • Why did Martin Luther decide to split with the Catholic Church?
  • Analyze the history and impact of a well-known cult (Jonestown, Manson family, etc.)
  • How did the sexual abuse scandal impact how people view the Catholic Church?
  • How has the Catholic church's power changed over the past decades/centuries?
  • What are the causes behind the rise in atheism/ agnosticism in the United States?
  • What were the influences in Siddhartha's life resulted in him becoming the Buddha?
  • How has media portrayal of Islam/Muslims changed since September 11th?

Science/Environment

  • How has the earth's climate changed in the past few decades?
  • How has the use and elimination of DDT affected bird populations in the US?
  • Analyze how the number and severity of natural disasters have increased in the past few decades.
  • Analyze deforestation rates in a certain area or globally over a period of time.
  • How have past oil spills changed regulations and cleanup methods?
  • How has the Flint water crisis changed water regulation safety?
  • What are the pros and cons of fracking?
  • What impact has the Paris Climate Agreement had so far?
  • What have NASA's biggest successes and failures been?
  • How can we improve access to clean water around the world?
  • Does ecotourism actually have a positive impact on the environment?
  • Should the US rely on nuclear energy more?
  • What can be done to save amphibian species currently at risk of extinction?
  • What impact has climate change had on coral reefs?
  • How are black holes created?
  • Are teens who spend more time on social media more likely to suffer anxiety and/or depression?
  • How will the loss of net neutrality affect internet users?
  • Analyze the history and progress of self-driving vehicles.
  • How has the use of drones changed surveillance and warfare methods?
  • Has social media made people more or less connected?
  • What progress has currently been made with artificial intelligence ?
  • Do smartphones increase or decrease workplace productivity?
  • What are the most effective ways to use technology in the classroom?
  • How is Google search affecting our intelligence?
  • When is the best age for a child to begin owning a smartphone?
  • Has frequent texting reduced teen literacy rates?

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How to Write a Great Research Paper

Even great research paper topics won't give you a great research paper if you don't hone your topic before and during the writing process. Follow these three tips to turn good research paper topics into great papers.

#1: Figure Out Your Thesis Early

Before you start writing a single word of your paper, you first need to know what your thesis will be. Your thesis is a statement that explains what you intend to prove/show in your paper. Every sentence in your research paper will relate back to your thesis, so you don't want to start writing without it!

As some examples, if you're writing a research paper on if students learn better in same-sex classrooms, your thesis might be "Research has shown that elementary-age students in same-sex classrooms score higher on standardized tests and report feeling more comfortable in the classroom."

If you're writing a paper on the causes of the Civil War, your thesis might be "While the dispute between the North and South over slavery is the most well-known cause of the Civil War, other key causes include differences in the economies of the North and South, states' rights, and territorial expansion."

#2: Back Every Statement Up With Research

Remember, this is a research paper you're writing, so you'll need to use lots of research to make your points. Every statement you give must be backed up with research, properly cited the way your teacher requested. You're allowed to include opinions of your own, but they must also be supported by the research you give.

#3: Do Your Research Before You Begin Writing

You don't want to start writing your research paper and then learn that there isn't enough research to back up the points you're making, or, even worse, that the research contradicts the points you're trying to make!

Get most of your research on your good research topics done before you begin writing. Then use the research you've collected to create a rough outline of what your paper will cover and the key points you're going to make. This will help keep your paper clear and organized, and it'll ensure you have enough research to produce a strong paper.

What's Next?

Are you also learning about dynamic equilibrium in your science class? We break this sometimes tricky concept down so it's easy to understand in our complete guide to dynamic equilibrium .

Thinking about becoming a nurse practitioner? Nurse practitioners have one of the fastest growing careers in the country, and we have all the information you need to know about what to expect from nurse practitioner school .

Want to know the fastest and easiest ways to convert between Fahrenheit and Celsius? We've got you covered! Check out our guide to the best ways to convert Celsius to Fahrenheit (or vice versa).

These recommendations are based solely on our knowledge and experience. If you purchase an item through one of our links, PrepScholar may receive a commission.

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Christine graduated from Michigan State University with degrees in Environmental Biology and Geography and received her Master's from Duke University. In high school she scored in the 99th percentile on the SAT and was named a National Merit Finalist. She has taught English and biology in several countries.

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37 Research Topics In Data Science To Stay On Top Of

Stewart Kaplan

  • February 22, 2024

As a data scientist, staying on top of the latest research in your field is essential.

The data science landscape changes rapidly, and new techniques and tools are constantly being developed.

To keep up with the competition, you need to be aware of the latest trends and topics in data science research.

In this article, we will provide an overview of 37 hot research topics in data science.

We will discuss each topic in detail, including its significance and potential applications.

These topics could be an idea for a thesis or simply topics you can research independently.

Stay tuned – this is one blog post you don’t want to miss!

37 Research Topics in Data Science

1.) predictive modeling.

Predictive modeling is a significant portion of data science and a topic you must be aware of.

Simply put, it is the process of using historical data to build models that can predict future outcomes.

Predictive modeling has many applications, from marketing and sales to financial forecasting and risk management.

As businesses increasingly rely on data to make decisions, predictive modeling is becoming more and more important.

While it can be complex, predictive modeling is a powerful tool that gives businesses a competitive advantage.

predictive modeling

2.) Big Data Analytics

These days, it seems like everyone is talking about big data.

And with good reason – organizations of all sizes are sitting on mountains of data, and they’re increasingly turning to data scientists to help them make sense of it all.

But what exactly is big data? And what does it mean for data science?

Simply put, big data is a term used to describe datasets that are too large and complex for traditional data processing techniques.

Big data typically refers to datasets of a few terabytes or more.

But size isn’t the only defining characteristic – big data is also characterized by its high Velocity (the speed at which data is generated), Variety (the different types of data), and Volume (the amount of the information).

Given the enormity of big data, it’s not surprising that organizations are struggling to make sense of it all.

That’s where data science comes in.

Data scientists use various methods to wrangle big data, including distributed computing and other decentralized technologies.

With the help of data science, organizations are beginning to unlock the hidden value in their big data.

By harnessing the power of big data analytics, they can improve their decision-making, better understand their customers, and develop new products and services.

3.) Auto Machine Learning

Auto machine learning is a research topic in data science concerned with developing algorithms that can automatically learn from data without intervention.

This area of research is vital because it allows data scientists to automate the process of writing code for every dataset.

This allows us to focus on other tasks, such as model selection and validation.

Auto machine learning algorithms can learn from data in a hands-off way for the data scientist – while still providing incredible insights.

This makes them a valuable tool for data scientists who either don’t have the skills to do their own analysis or are struggling.

Auto Machine Learning

4.) Text Mining

Text mining is a research topic in data science that deals with text data extraction.

This area of research is important because it allows us to get as much information as possible from the vast amount of text data available today.

Text mining techniques can extract information from text data, such as keywords, sentiments, and relationships.

This information can be used for various purposes, such as model building and predictive analytics.

5.) Natural Language Processing

Natural language processing is a data science research topic that analyzes human language data.

This area of research is important because it allows us to understand and make sense of the vast amount of text data available today.

Natural language processing techniques can build predictive and interactive models from any language data.

Natural Language processing is pretty broad, and recent advances like GPT-3 have pushed this topic to the forefront.

natural language processing

6.) Recommender Systems

Recommender systems are an exciting topic in data science because they allow us to make better products, services, and content recommendations.

Businesses can better understand their customers and their needs by using recommender systems.

This, in turn, allows them to develop better products and services that meet the needs of their customers.

Recommender systems are also used to recommend content to users.

This can be done on an individual level or at a group level.

Think about Netflix, for example, always knowing what you want to watch!

Recommender systems are a valuable tool for businesses and users alike.

7.) Deep Learning

Deep learning is a research topic in data science that deals with artificial neural networks.

These networks are composed of multiple layers, and each layer is formed from various nodes.

Deep learning networks can learn from data similarly to how humans learn, irrespective of the data distribution.

This makes them a valuable tool for data scientists looking to build models that can learn from data independently.

The deep learning network has become very popular in recent years because of its ability to achieve state-of-the-art results on various tasks.

There seems to be a new SOTA deep learning algorithm research paper on  https://arxiv.org/  every single day!

deep learning

8.) Reinforcement Learning

Reinforcement learning is a research topic in data science that deals with algorithms that can learn on multiple levels from interactions with their environment.

This area of research is essential because it allows us to develop algorithms that can learn non-greedy approaches to decision-making, allowing businesses and companies to win in the long term compared to the short.

9.) Data Visualization

Data visualization is an excellent research topic in data science because it allows us to see our data in a way that is easy to understand.

Data visualization techniques can be used to create charts, graphs, and other visual representations of data.

This allows us to see the patterns and trends hidden in our data.

Data visualization is also used to communicate results to others.

This allows us to share our findings with others in a way that is easy to understand.

There are many ways to contribute to and learn about data visualization.

Some ways include attending conferences, reading papers, and contributing to open-source projects.

data visualization

10.) Predictive Maintenance

Predictive maintenance is a hot topic in data science because it allows us to prevent failures before they happen.

This is done using data analytics to predict when a failure will occur.

This allows us to take corrective action before the failure actually happens.

While this sounds simple, avoiding false positives while keeping recall is challenging and an area wide open for advancement.

11.) Financial Analysis

Financial analysis is an older topic that has been around for a while but is still a great field where contributions can be felt.

Current researchers are focused on analyzing macroeconomic data to make better financial decisions.

This is done by analyzing the data to identify trends and patterns.

Financial analysts can use this information to make informed decisions about where to invest their money.

Financial analysis is also used to predict future economic trends.

This allows businesses and individuals to prepare for potential financial hardships and enable companies to be cash-heavy during good economic conditions.

Overall, financial analysis is a valuable tool for anyone looking to make better financial decisions.

Financial Analysis

12.) Image Recognition

Image recognition is one of the hottest topics in data science because it allows us to identify objects in images.

This is done using artificial intelligence algorithms that can learn from data and understand what objects you’re looking for.

This allows us to build models that can accurately recognize objects in images and video.

This is a valuable tool for businesses and individuals who want to be able to identify objects in images.

Think about security, identification, routing, traffic, etc.

Image Recognition has gained a ton of momentum recently – for a good reason.

13.) Fraud Detection

Fraud detection is a great topic in data science because it allows us to identify fraudulent activity before it happens.

This is done by analyzing data to look for patterns and trends that may be associated with the fraud.

Once our machine learning model recognizes some of these patterns in real time, it immediately detects fraud.

This allows us to take corrective action before the fraud actually happens.

Fraud detection is a valuable tool for anyone who wants to protect themselves from potential fraudulent activity.

fraud detection

14.) Web Scraping

Web scraping is a controversial topic in data science because it allows us to collect data from the web, which is usually data you do not own.

This is done by extracting data from websites using scraping tools that are usually custom-programmed.

This allows us to collect data that would otherwise be inaccessible.

For obvious reasons, web scraping is a unique tool – giving you data your competitors would have no chance of getting.

I think there is an excellent opportunity to create new and innovative ways to make scraping accessible for everyone, not just those who understand Selenium and Beautiful Soup.

15.) Social Media Analysis

Social media analysis is not new; many people have already created exciting and innovative algorithms to study this.

However, it is still a great data science research topic because it allows us to understand how people interact on social media.

This is done by analyzing data from social media platforms to look for insights, bots, and recent societal trends.

Once we understand these practices, we can use this information to improve our marketing efforts.

For example, if we know that a particular demographic prefers a specific type of content, we can create more content that appeals to them.

Social media analysis is also used to understand how people interact with brands on social media.

This allows businesses to understand better what their customers want and need.

Overall, social media analysis is valuable for anyone who wants to improve their marketing efforts or understand how customers interact with brands.

social media

16.) GPU Computing

GPU computing is a fun new research topic in data science because it allows us to process data much faster than traditional CPUs .

Due to how GPUs are made, they’re incredibly proficient at intense matrix operations, outperforming traditional CPUs by very high margins.

While the computation is fast, the coding is still tricky.

There is an excellent research opportunity to bring these innovations to non-traditional modules, allowing data science to take advantage of GPU computing outside of deep learning.

17.) Quantum Computing

Quantum computing is a new research topic in data science and physics because it allows us to process data much faster than traditional computers.

It also opens the door to new types of data.

There are just some problems that can’t be solved utilizing outside of the classical computer.

For example, if you wanted to understand how a single atom moved around, a classical computer couldn’t handle this problem.

You’ll need to utilize a quantum computer to handle quantum mechanics problems.

This may be the “hottest” research topic on the planet right now, with some of the top researchers in computer science and physics worldwide working on it.

You could be too.

quantum computing

18.) Genomics

Genomics may be the only research topic that can compete with quantum computing regarding the “number of top researchers working on it.”

Genomics is a fantastic intersection of data science because it allows us to understand how genes work.

This is done by sequencing the DNA of different organisms to look for insights into our and other species.

Once we understand these patterns, we can use this information to improve our understanding of diseases and create new and innovative treatments for them.

Genomics is also used to study the evolution of different species.

Genomics is the future and a field begging for new and exciting research professionals to take it to the next step.

19.) Location-based services

Location-based services are an old and time-tested research topic in data science.

Since GPS and 4g cell phone reception became a thing, we’ve been trying to stay informed about how humans interact with their environment.

This is done by analyzing data from GPS tracking devices, cell phone towers, and Wi-Fi routers to look for insights into how humans interact.

Once we understand these practices, we can use this information to improve our geotargeting efforts, improve maps, find faster routes, and improve cohesion throughout a community.

Location-based services are used to understand the user, something every business could always use a little bit more of.

While a seemingly “stale” field, location-based services have seen a revival period with self-driving cars.

GPS

20.) Smart City Applications

Smart city applications are all the rage in data science research right now.

By harnessing the power of data, cities can become more efficient and sustainable.

But what exactly are smart city applications?

In short, they are systems that use data to improve city infrastructure and services.

This can include anything from traffic management and energy use to waste management and public safety.

Data is collected from various sources, including sensors, cameras, and social media.

It is then analyzed to identify tendencies and habits.

This information can make predictions about future needs and optimize city resources.

As more and more cities strive to become “smart,” the demand for data scientists with expertise in smart city applications is only growing.

21.) Internet Of Things (IoT)

The Internet of Things, or IoT, is exciting and new data science and sustainability research topic.

IoT is a network of physical objects embedded with sensors and connected to the internet.

These objects can include everything from alarm clocks to refrigerators; they’re all connected to the internet.

That means that they can share data with computers.

And that’s where data science comes in.

Data scientists are using IoT data to learn everything from how people use energy to how traffic flows through a city.

They’re also using IoT data to predict when an appliance will break down or when a road will be congested.

Really, the possibilities are endless.

With such a wide-open field, it’s easy to see why IoT is being researched by some of the top professionals in the world.

internet of things

22.) Cybersecurity

Cybersecurity is a relatively new research topic in data science and in general, but it’s already garnering a lot of attention from businesses and organizations.

After all, with the increasing number of cyber attacks in recent years, it’s clear that we need to find better ways to protect our data.

While most of cybersecurity focuses on infrastructure, data scientists can leverage historical events to find potential exploits to protect their companies.

Sometimes, looking at a problem from a different angle helps, and that’s what data science brings to cybersecurity.

Also, data science can help to develop new security technologies and protocols.

As a result, cybersecurity is a crucial data science research area and one that will only become more important in the years to come.

23.) Blockchain

Blockchain is an incredible new research topic in data science for several reasons.

First, it is a distributed database technology that enables secure, transparent, and tamper-proof transactions.

Did someone say transmitting data?

This makes it an ideal platform for tracking data and transactions in various industries.

Second, blockchain is powered by cryptography, which not only makes it highly secure – but is a familiar foe for data scientists.

Finally, blockchain is still in its early stages of development, so there is much room for research and innovation.

As a result, blockchain is a great new research topic in data science that vows to revolutionize how we store, transmit and manage data.

blockchain

24.) Sustainability

Sustainability is a relatively new research topic in data science, but it is gaining traction quickly.

To keep up with this demand, The Wharton School of the University of Pennsylvania has  started to offer an MBA in Sustainability .

This demand isn’t shocking, and some of the reasons include the following:

Sustainability is an important issue that is relevant to everyone.

Datasets on sustainability are constantly growing and changing, making it an exciting challenge for data scientists.

There hasn’t been a “set way” to approach sustainability from a data perspective, making it an excellent opportunity for interdisciplinary research.

As data science grows, sustainability will likely become an increasingly important research topic.

25.) Educational Data

Education has always been a great topic for research, and with the advent of big data, educational data has become an even richer source of information.

By studying educational data, researchers can gain insights into how students learn, what motivates them, and what barriers these students may face.

Besides, data science can be used to develop educational interventions tailored to individual students’ needs.

Imagine being the researcher that helps that high schooler pass mathematics; what an incredible feeling.

With the increasing availability of educational data, data science has enormous potential to improve the quality of education.

online education

26.) Politics

As data science continues to evolve, so does the scope of its applications.

Originally used primarily for business intelligence and marketing, data science is now applied to various fields, including politics.

By analyzing large data sets, political scientists (data scientists with a cooler name) can gain valuable insights into voting patterns, campaign strategies, and more.

Further, data science can be used to forecast election results and understand the effects of political events on public opinion.

With the wealth of data available, there is no shortage of research opportunities in this field.

As data science evolves, so does our understanding of politics and its role in our world.

27.) Cloud Technologies

Cloud technologies are a great research topic.

It allows for the outsourcing and sharing of computer resources and applications all over the internet.

This lets organizations save money on hardware and maintenance costs while providing employees access to the latest and greatest software and applications.

I believe there is an argument that AWS could be the greatest and most technologically advanced business ever built (Yes, I know it’s only part of the company).

Besides, cloud technologies can help improve team members’ collaboration by allowing them to share files and work on projects together in real-time.

As more businesses adopt cloud technologies, data scientists must stay up-to-date on the latest trends in this area.

By researching cloud technologies, data scientists can help organizations to make the most of this new and exciting technology.

cloud technologies

28.) Robotics

Robotics has recently become a household name, and it’s for a good reason.

First, robotics deals with controlling and planning physical systems, an inherently complex problem.

Second, robotics requires various sensors and actuators to interact with the world, making it an ideal application for machine learning techniques.

Finally, robotics is an interdisciplinary field that draws on various disciplines, such as computer science, mechanical engineering, and electrical engineering.

As a result, robotics is a rich source of research problems for data scientists.

29.) HealthCare

Healthcare is an industry that is ripe for data-driven innovation.

Hospitals, clinics, and health insurance companies generate a tremendous amount of data daily.

This data can be used to improve the quality of care and outcomes for patients.

This is perfect timing, as the healthcare industry is undergoing a significant shift towards value-based care, which means there is a greater need than ever for data-driven decision-making.

As a result, healthcare is an exciting new research topic for data scientists.

There are many different ways in which data can be used to improve healthcare, and there is a ton of room for newcomers to make discoveries.

healthcare

30.) Remote Work

There’s no doubt that remote work is on the rise.

In today’s global economy, more and more businesses are allowing their employees to work from home or anywhere else they can get a stable internet connection.

But what does this mean for data science? Well, for one thing, it opens up a whole new field of research.

For example, how does remote work impact employee productivity?

What are the best ways to manage and collaborate on data science projects when team members are spread across the globe?

And what are the cybersecurity risks associated with working remotely?

These are just a few of the questions that data scientists will be able to answer with further research.

So if you’re looking for a new topic to sink your teeth into, remote work in data science is a great option.

31.) Data-Driven Journalism

Data-driven journalism is an exciting new field of research that combines the best of both worlds: the rigor of data science with the creativity of journalism.

By applying data analytics to large datasets, journalists can uncover stories that would otherwise be hidden.

And telling these stories compellingly can help people better understand the world around them.

Data-driven journalism is still in its infancy, but it has already had a major impact on how news is reported.

In the future, it will only become more important as data becomes increasingly fluid among journalists.

It is an exciting new topic and research field for data scientists to explore.

journalism

32.) Data Engineering

Data engineering is a staple in data science, focusing on efficiently managing data.

Data engineers are responsible for developing and maintaining the systems that collect, process, and store data.

In recent years, there has been an increasing demand for data engineers as the volume of data generated by businesses and organizations has grown exponentially.

Data engineers must be able to design and implement efficient data-processing pipelines and have the skills to optimize and troubleshoot existing systems.

If you are looking for a challenging research topic that would immediately impact you worldwide, then improving or innovating a new approach in data engineering would be a good start.

33.) Data Curation

Data curation has been a hot topic in the data science community for some time now.

Curating data involves organizing, managing, and preserving data so researchers can use it.

Data curation can help to ensure that data is accurate, reliable, and accessible.

It can also help to prevent research duplication and to facilitate the sharing of data between researchers.

Data curation is a vital part of data science. In recent years, there has been an increasing focus on data curation, as it has become clear that it is essential for ensuring data quality.

As a result, data curation is now a major research topic in data science.

There are numerous books and articles on the subject, and many universities offer courses on data curation.

Data curation is an integral part of data science and will only become more important in the future.

businessman

34.) Meta-Learning

Meta-learning is gaining a ton of steam in data science. It’s learning how to learn.

So, if you can learn how to learn, you can learn anything much faster.

Meta-learning is mainly used in deep learning, as applications outside of this are generally pretty hard.

In deep learning, many parameters need to be tuned for a good model, and there’s usually a lot of data.

You can save time and effort if you can automatically and quickly do this tuning.

In machine learning, meta-learning can improve models’ performance by sharing knowledge between different models.

For example, if you have a bunch of different models that all solve the same problem, then you can use meta-learning to share the knowledge between them to improve the cluster (groups) overall performance.

I don’t know how anyone looking for a research topic could stay away from this field; it’s what the  Terminator  warned us about!

35.) Data Warehousing

A data warehouse is a system used for data analysis and reporting.

It is a central data repository created by combining data from multiple sources.

Data warehouses are often used to store historical data, such as sales data, financial data, and customer data.

This data type can be used to create reports and perform statistical analysis.

Data warehouses also store data that the organization is not currently using.

This type of data can be used for future research projects.

Data warehousing is an incredible research topic in data science because it offers a variety of benefits.

Data warehouses help organizations to save time and money by reducing the need for manual data entry.

They also help to improve the accuracy of reports and provide a complete picture of the organization’s performance.

Data warehousing feels like one of the weakest parts of the Data Science Technology Stack; if you want a research topic that could have a monumental impact – data warehousing is an excellent place to look.

data warehousing

36.) Business Intelligence

Business intelligence aims to collect, process, and analyze data to help businesses make better decisions.

Business intelligence can improve marketing, sales, customer service, and operations.

It can also be used to identify new business opportunities and track competition.

BI is business and another tool in your company’s toolbox to continue dominating your area.

Data science is the perfect tool for business intelligence because it combines statistics, computer science, and machine learning.

Data scientists can use business intelligence to answer questions like, “What are our customers buying?” or “What are our competitors doing?” or “How can we increase sales?”

Business intelligence is a great way to improve your business’s bottom line and an excellent opportunity to dive deep into a well-respected research topic.

37.) Crowdsourcing

One of the newest areas of research in data science is crowdsourcing.

Crowdsourcing is a process of sourcing tasks or projects to a large group of people, typically via the internet.

This can be done for various purposes, such as gathering data, developing new algorithms, or even just for fun (think: online quizzes and surveys).

But what makes crowdsourcing so powerful is that it allows businesses and organizations to tap into a vast pool of talent and resources they wouldn’t otherwise have access to.

And with the rise of social media, it’s easier than ever to connect with potential crowdsource workers worldwide.

Imagine if you could effect that, finding innovative ways to improve how people work together.

That would have a huge effect.

crowd sourcing

Final Thoughts, Are These Research Topics In Data Science For You?

Thirty-seven different research topics in data science are a lot to take in, but we hope you found a research topic that interests you.

If not, don’t worry – there are plenty of other great topics to explore.

The important thing is to get started with your research and find ways to apply what you learn to real-world problems.

We wish you the best of luck as you begin your data science journey!

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Research Areas

Archives and preservation.

Protecting and maintaining collections and materials in archives

Argumentation

Studying the construction of scientific arguments, including the use of information, evidence, and persuasion

Artificial Intelligence and Machine Learning

Researching the models, methods, uses, and impact of intelligent systems design for processing data and information

Community Informatics

Understanding how local communities and people in their everyday lives use and might use information technology, in libraries and elsewhere

Computational Social Science, Social Computing

Using computational methods to study and model social systems and user behaviors

Computing for Social Good

Understanding computing's potential for good (and harm), including the role of computing and technology in responding to social, ecological, political, and other challenges

Cultural Informatics and Heritage

Understanding the role of information technology in preserving, transmitting, and shaping human culture and heritage

Data Analytics and Human Centered Data

Using computational methods to transform both structured and unstructured data into actionable knowledge; and to understand and enable humans to explore and gain insight from vast data sets

Data Curation

Active and on-going management of data through its lifecycle of interest and usefulness to scholarship, science, and education

Data Science

Using statistical and computational techniques to discover and extract knowledge from structured and unstructured data.

Design and Evaluation of Information Systems and Services

Understanding the problems with existing information systems and services, and making them more effective and easier to use

Digital Humanities

Applying computing or using digital media in the humanities disciplines

Digital Libraries

Studying how to most effectively store, structure, retrieve, interpret and preserve collections of digital objects to serve a particular community or communities

Diversity and Social Justice

Addressing challenging, but necessary, topics such as racism, privilege, power, etc., and coupling them with critical theory in an effort to develop compassionate, proactive, and culturally competent information professionals

Education of Information Professionals

Evaluating the content of curricula and the methods for educating information professionals

Ethics and Values for Information

Assessing principles and standards that govern access to information

FATE (fairness, accountability, transparency, ethics)

Researching the complex social implications of AI, machine learning, data science, large-scale experimentation, and increasing automation; and developing computational techniques that draw on the deeper context surrounding these issues from sociology, history, and science and technology studies

Foundations of Information

Asking and answering the most basic and fundamental questions on the nature and uses of information resources

Health, Medical, and Bio-Informatics

Collecting and analyzing biological, medical, and health information

History of Information

Exploring the long history of  information helps us understand the effects of information technologies, systems, and practices on society and their implications for the future

Human Computer Interaction, User Experience, Computer Supported Cooperative Work

Investigating the use of computers to support individual use; and investigating the use of computers and networked technologies to support small-group and human-to-human communication and its impact on collaboration

Information Access

Recognizing the issues with information access and the methods in which individuals and groups access information

Information Literacy

Information literacy is an important skillset that enables individuals to locate, contextualize, evaluate, effectively use, and appropriately communicate information in a variety of different formats

Information Policy

Examining the set of rules, laws, or regulations that affect the creation, process, use, and destruction of information

Information Practices and Behaviors

Discovering and explicating how people seek, use, avoid, and share information to advance knowledge, aid in decision making, solve problems, and engage in everyday life activities

Information Retrieval

Finding relevant documents and other information resources to satisfy an information need or desire

Information Visualization

Studying the visual representation of abstract data 

Informetrics and Scientometrics

Studying the quantitative aspects of information and the quantitative features and characteristics of science and scientific research

Knowledge Representation, Ontologies

Research related to semantic networks, formal logic, frame-based systems; and how the beliefs, intentions, and value judgments of an intelligent agent (AI) can be expressed in a transparent, symbolic notation suitable for automated reasoning

Libraries and Librarianship

Research related to the assessment, management, development, and delivery of services provided by professional librarians in libraries and similar information institutions

Natural Language Processing, Text Mining, Text Analysis, Computational Linguistics

Examining the process of transforming unstructured text into structured data for use

Network Science and Network Analysis

Representing, analyzing, and modeling the structure and dynamics of complex social, scientific, and technological systems as networks or graphs; and using computational tools for identifying, explaining, and understanding the patterns they contain

Organization of Knowledge and Information

Bringing structure to the record of human culture and our accounts of the natural and social world

Privacy, Security, and Trust

Studying the intersection of privacy, security, and trust with information systems

Reproducibility

Analyzing the challenges to and environments favorable to fostering reproducible research

Science of Science

Using data to study, understand, and quantify the mechanisms underlying scientific research

Semantic Computing and Technologies

Studying the structure, design, and manipulation of computer content and technologies (e.g., AI, natural language, software engineering) to better satisfy the needs and intentions of users and to create a more meaningful user experience

Social and Information Networks

Understanding the intersection between social networks and information networks

Social Informatics

Examining the social aspects of information technology and how social issues affect the organization of information

Social Media

Understanding how and why people use social media, and how it impacts access and dissemination of information

Youth Literature, Culture, and Services

Analyzing library and information practices, preferences, and play for children, youth, tweens, and teens

Home » Blog » Dissertation » Topics » Science » 80 Library and Information Science Research Topics

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80 Library and Information Science Research Topics

FacebookXEmailWhatsAppRedditPinterestLinkedInIf you are a student seeking compelling research topics in Library and Information Science, you have come to the right place. Embarking on the journey of academic research, especially for an undergraduate, master’s, or doctoral thesis or dissertation, necessitates selecting research topics that are not only intellectually stimulating but also potentially contribute significantly to the […]

Library and Information Science Research Topics

If you are a student seeking compelling research topics in Library and Information Science, you have come to the right place. Embarking on the journey of academic research, especially for an undergraduate, master’s, or doctoral thesis or dissertation, necessitates selecting research topics that are not only intellectually stimulating but also potentially contribute significantly to the field of study. In Library and Information Science, identifying compelling research topics is a crucial first step toward formulating a research proposal that aligns with your academic aspirations and contributes to the ever-evolving domain of information management and dissemination.

Library and Information Science, often called ‘Information Studies’ or ‘Information Management,’ is a multidisciplinary field that studies principles and practices related to the organization, retrieval, and dissemination of information.

A List Of Potential Research Topics In Library and Information Science:

  • Investigating the role of libraries in supporting lifelong learning and continuous education.
  • Exploring the ethical considerations in data management and privacy within academic libraries.
  • Assessing the accessibility of digital libraries for individuals with disabilities.
  • Assessing the impact of library mobile applications on user engagement and service utilization.
  • Analyzing the integration of machine learning in recommender systems for library collections.
  • Investigating the impact of digital transformation on public library services in the post-COVID era.
  • Analyzing the effectiveness of UK school library programs in promoting information literacy among students.
  • Assessing the impact of library collaborations on resource sharing and cost-efficiency.
  • Evaluating the effectiveness of library marketing strategies in attracting and retaining users.
  • Assessing the effectiveness of library outreach programs in serving underserved communities.
  • Examining the role of libraries in promoting cultural diversity and inclusivity.
  • Analyzing the role of libraries in preserving and providing access to government information.
  • Library and Information Science: The role of digital libraries in enhancing access to political science resources.
  • Analyzing the role of libraries in promoting cultural diversity and inclusivity.
  • Assessing the role of libraries in promoting information literacy among marginalized communities.
  • Assessing the role of libraries in supporting research data management and sharing.
  • Investigating the digital preservation challenges and strategies in UK cultural heritage institutions.
  • Analyzing the sustainability and resilience of digital archives and repositories in the post-pandemic era.
  • Examining the role of libraries in preserving and promoting indigenous languages and cultures.
  • Analyzing the role of UK public libraries in addressing digital literacy gaps in underserved communities.
  • Examining the evolving role of UK national libraries in preserving and providing access to digital-born content.
  • Examining the integration of virtual reality technologies in enhancing library user experiences.
  • Investigating the role of UK public libraries in supporting marginalized communities’ information needs and social inclusion.
  • Analyzing the influence of library design on user engagement and satisfaction.
  • Evaluating the impact of library services on the academic success of undergraduate students.
  • Investigating the role of social media platforms in disseminating accurate health information during and after the COVID-19 crisis.
  • Analyzing the evolving role of UK national libraries in the digital age and their contribution to national identity and heritage.
  • Assessing the role of libraries in promoting financial literacy and economic empowerment.
  • Assessing the influence of digital storytelling in preserving cultural heritage through library collections.
  • Investigating the accessibility and usability of library websites for users with disabilities.
  • Examining the effectiveness of library-based literacy programs for children and adolescents.
  • Examining the impact of library space design on user experience and information retrieval.
  • Examining the role of libraries in promoting sustainable development goals in local communities.
  • Exploring the use of artificial intelligence and machine learning in information retrieval and recommendation systems in the post-COVID library landscape.
  • Investigating the impact of digital repositories on preserving cultural heritage in libraries.
  • Investigating the adoption and implementation of open access policies in academic libraries.
  • Investigating the use of blockchain technology in securing and managing library records.
  • Analyzing the effectiveness of gamification in library instruction and user engagement.
  • Assessing the impact of Brexit on cross-border information sharing and cooperation among UK libraries and European counterparts.
  • Understanding the role of libraries in promoting mental health and well-being among patrons.
  • Analyzing the use of virtual reality in enhancing the accessibility of library spaces for people with disabilities.
  • Investigating the adoption of sustainable practices in UK academic libraries for environmental conservation.
  • Assessing the use of blockchain technology for secure and transparent information management in UK libraries.
  • Analyzing the role of libraries in promoting health literacy and access to health information.
  • Assessing the role of public libraries in promoting community resilience and information access during and after the pandemic.
  • Assessing the role of UK corporate libraries in facilitating knowledge management and innovation in organizations.
  • Analyzing the adoption of artificial intelligence in library services for personalized recommendations.
  • Assessing the role of social media platforms in shaping information-seeking behaviors among millennials.
  • Exploring the digital preservation practices for born-digital government documents in libraries.
  • Investigating the impact of virtual reality technologies on enhancing user engagement in digital libraries.
  • Examining the preservation challenges of audiovisual materials in special collections.
  • Understanding the role of libraries in supporting entrepreneurship and economic development.
  • Assessing the impact of open access initiatives on scholarly communication practices in the UK academic library sector.
  • Analyzing the adoption of digital preservation strategies in UK libraries to safeguard cultural heritage materials.
  • Investigating the impact of privacy regulations on user data management in UK public libraries.
  • Evaluating the effectiveness of library consortiums in optimizing resource sharing and cost-saving.
  • Exploring the impact of virtual reference services on user satisfaction and information retrieval.
  • Investigating the role of libraries in promoting information literacy and critical thinking skills in K-12 education.
  • Investigating the integration of artificial intelligence in virtual reference services in libraries.
  • Evaluating the effectiveness of library outreach programs in underserved urban areas.
  • Examining the integration of indigenous knowledge systems into UK library and information services.
  • Examining the challenges and opportunities of remote information literacy instruction in post-pandemic library settings.
  • Examining the impact of Brexit on international cooperation and resource sharing among UK and non-UK libraries.
  • Analyzing the impact of library outreach programs on early childhood literacy.
  • Library and Information Science and Health Science : Information retrieval strategies for improving healthcare decision-making in the digital age.
  • Investigating the digital divide and its implications for equitable access to library services in the post-COVID world.
  • Analyzing the impact of e-books on traditional print book usage and circulation in libraries.
  • Examining the ethical considerations in information access and dissemination in the context of UK libraries.
  • Understanding the role of libraries in combating misinformation and promoting information literacy.
  • Examining the role of libraries in fostering lifelong learning and continuous education.
  • Assessing the long-term effects of the COVID-19 pandemic on information-seeking behavior in academic research.
  • Understanding the impact of library maker spaces on creativity and innovation in communities.
  • Investigating the use of artificial intelligence in library cataloging and classification systems.
  • Analyzing the influence of cultural diversity on collection development strategies in UK multicultural libraries.
  • Assessing the impact of emerging technologies on the future of libraries and librarianship.
  • Analyzing the role of virtual reality technologies in enhancing remote learning experiences in academic libraries post-COVID.
  • Assessing the use of blockchain technology in ensuring the authenticity and integrity of digital archives.
  • Assessing the role of UK prison libraries in rehabilitation and reintegration of inmates.
  • Assessing the effectiveness of library collection development strategies in meeting diverse user needs.
  • Examining the role of libraries in addressing information poverty in rural communities.

Selecting the right research topic in Library and Information Science for your thesis or dissertation can pave the way for a fruitful academic journey. Whether exploring emerging trends in digital preservation, evaluating user experience in information retrieval systems, or delving into the role of libraries in societal development, the realm of Library and Information Science offers a vast landscape of research opportunities for undergraduates, master’s, and doctoral candidates. The key is to choose a topic that aligns with your passion, academic goals, and the broader societal impact you aspire to make. Happy researching!

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130 Information Technology Research Topics And Quick Writing Prompts

Information Technology Research Topics

The field of information technology is one of the most recent developments of the 21st century. Scholars argue that we are living in a technological age. Despite this buzz, however, many students still find it challenging to compose an information technology research topic.

Nonetheless, we are here to show you the way and lead you accordingly. Let us explore professional topics in information technology together then.

Quality Information Technology Topics For Research Paper

  • The effects of Artificial Intelligence on complex and tedious tasks
  • Discuss the development of computational & synthetic biology in research
  • What are the limitations to the study of computer architecture in colleges?
  • Discuss the evolution of animation, computer graphics, and game science
  • Critically analyze how computing is contributing to the development
  • What are the emerging fields of study in computer data science?
  • How to manage data in the age of the 5G technology
  • The impact of human-computer interaction on innovations
  • How is machine learning exposing students to more recent opportunities in life?
  • Evaluate molecular information systems and their role in biotechnology
  • How information technology has contributed to natural language processing
  • What are the latest developments in programming languages and software engineering
  • Analyze emerging opportunities in the field of Robotics

College Research Paper Topics in Information Technology

  • The rising security and privacy concerns with technological advancements
  • What are the considerations when setting up systems and networking?
  • Discuss the theory of computation and its contribution to information technology
  • Why is ubiquitous computing attracting fewer students?
  • The role of wireless and sensor systems in making the world a safe place
  • Reasons, why cloud computing has helped save on space and efficiency
  • Why are most computer students comprised of the male?
  • Discuss the essence of amorphous computing in the 21st century
  • How has biomedical mining impacted the health sector?
  • Can cyborgs relate well with the man?
  • How neural networking is making brain surgery a swift process
  • The role of swarm intelligence in collaboration and brainstorming
  • How are companies maximizing the use of Big Data?

List of Topics For Research Paper in Information Technology

  • Discuss how the Internet of Things is transforming how people conduct their activities
  • Challenges to software-defined networking
  • How are marketers and promoters taking up software as a service?
  • The role of augmented reality and virtual reality in healthcare systems
  • How intelligent apps are making life easier for man
  • The role of information technology in detecting fake news and malicious viral content
  • Long term effects of a technologically oriented world
  • Technological advancements that made it possible for the SpaceX shuttle to land on the International Space Station
  • How technology is making learning more practical and student-centered
  • What role has technology played in the spread of world pandemics?
  • How are governments able to shut down the Internet for their countries during particular events?
  • Does social media make the world a global village or a divided universe?
  • Discuss the implications of technological globalization

Unique Information Technology Research Topics

  • Discuss the areas of life which have been least exploited using technology
  • What are the considerations for setting up an educational curriculum on computer technology?
  • Compare and contrast between different computer processing powers
  • Why is Random Access Memory so crucial to the functioning of a computer?
  • Should computer as a subject be mandatory for all students in college?
  • How information technology has helped keep the world together during the quarantine period
  • Discuss why most hackers manage to break firewalls of banks
  • Are automated teller machine cards a safe way of keeping your bank details?
  • Why should every institution incorporate automated systems in its functions?
  • Who is more intelligent than the other? Man or Computer systems?
  • How is NASA implementing the use of Information technology to explore space?
  • The impact of automated message replies on smartphones.
  • Do mobile phones contain radiations that cause cancer?

IT Research Topics For High School Students

  • How does natural language processing compare with machine learning?
  • What is the role of virtual reality in the entertainment industry?
  • Discuss the application of computer vision technology in autonomous cars
  • How have CCTVs assisted in keeping the world safe?
  • Effects of phishing and spying on relationships
  • Why cyber espionage is on the rise in the face of the 5G technology
  • Compare and contrast between content-based recommendation vs. collaborative filtering
  • Evaluate the interconnection between the Internet of things and artificial intelligence
  • Analyze the amount of data generated from the Internet of things in devices
  • Ethical and legal implications of various technological practices
  • How technology has contributed to the formation of Genetically Modified Organisms
  • Describe in detail the vaccine development process
  • Why nanotechnology may be the only hope left in treating HIV

Hot Topics in IT

  • How companies can incorporate information technologies in their policy management systems
  • The role of IT in enhancing service delivery in customer care centers
  • How IT has made advertising more appealing and authentic to the consumer
  • Discuss the innovation of the Next Generation education systems
  • Why are there fewer Information Technology colleges and universities in developing countries?
  • Discuss WIFI connectivity in developed countries
  • What are the considerations when purchasing a Bandwidth Monitor?
  • How to create an effective Clinic Management System for intensive care
  • Factors that necessitate the development of an Enterprise Level System Information Management
  • Is it possible to develop fully functional Intelligent Car Transportation Systems?
  • Why the world should adopt E-Waste Management systems ASAP
  • Discuss the impact of weather and climate on internet strength and connectivity
  • The role of advanced information technologies preserving classified documents

Interesting Information Technology Topics

  • Human resource information management systems in large organizations
  • Evaluate the effectiveness of online enterprise resource planning
  • A critical analysis of object tracking using radial function networks
  • How has Bluetooth mobile phone technology developed over time?
  • Ethical challenges arising from new media information technologies
  • How the computer has developed over the last decade
  • The role of social media in enhancing communication strategies
  • Why new media technologies have made physical newspapers obsolete
  • The impact of the Internet of news sourcing, production, distribution, and sharing
  • Discuss the structures of various communication structures
  • How social media is making ads easily accessible
  • The impact of social networking sites on personal contact
  • Discuss the latest content marketing ideas in the wake of information technology

Topics Related To Information Technology

  • The impact of media exposure to adolescents and teenagers
  • How mass media is slowly but surely taking over the place of personal socialization
  • How to use the Internet and interactive media as advertising tools
  • Discuss the trends in music marketing in a digital world
  • The use of hype in new media technologies
  • The impact of using YouTube and video blogs in communication messages
  • Discuss the challenges that are arising as a result of new media technologies
  • How to build trustful relationships in virtual communication channels
  • Why it is impossible to maintain privacy in social media
  • Reasons why cyberbullying continues to persist in various communication technologies
  • The change in interpersonal communication with the invention of information technology
  • Is the future of information technologies right?
  • Discuss how sensationalism is persisting in the wake of new media technologies

Research Proposal Topics in Information Technology

  • Is it possible to live in a world without social media?
  • The impact of mass media on morality and decency in the 21st century
  • Advantages and disadvantages of renewable energy sources
  • How effective is hydrogen power over others?
  • An overview of renewable energy technologies
  • The impact of robots in improving food safety
  • How are drones useful in keeping large acres of land secure?
  • The impact of 3D printing on the practice of medicine
  • The effectiveness of having robots in infectious disease units
  • The impact of hydroponic farming
  • How to improve disease control using technology
  • Eliminating poisonous substances in food using technology
  • The effectiveness of robotic surgeries

Hot Topics in Computer Science

  • Distinguish between virtual reality and human perception
  • How are the inventions in the field of computer science transforming the world
  • Evaluate the effectiveness of high-dimensional data modeling
  • Limitations to the field of computer science
  • Are colleges and universities producing competent computer scientists?
  • How ethical hacking has turned out to be worse
  • The essence of having specialized banking systems
  • What is the most effective security measure: A serial code or fingerprint?
  • The development of programming languages
  • The effect of computational thinking on science
  • Is it possible to eliminate stalking?
  • Ways of improving patent rights for technological innovations
  • An overview of the different types of software security

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information science research paper topics

Research paper topics in library and information science

A systematic approach is best when undertaking research in the library and information science. Not only should you have an in-depth knowledge of major themes in the area, but you should also be aware of current research methods and topics of influence, such as library systems, cooperation between libraries, and the flow of information between libraries.

Finding a good research paper topic can greatly depend upon your interests and what you took away from your coursework. Paying attention in classes and taking adequate notes makes it easier to assimilate that knowledge into a coherent research paper topic. Take a look at the following research paper topics for some ideas:

  • A critical analysis of student attitudes towards cataloguing and classification in college campus libraries
  • The Impact of Public Libraries at the state level
  • The implementation of information and communication technology in academic libraries in Brazil
  • Evaluating the effect of feminization and professionalization on librarianship
  • The challenges involved in running private libraries in Nigeria
  • Defining comparative and international library and information science
  • An assessment of international cultural exchange through libraries
  • The role of international librarianship in promoting freedom of information and expression
  • International issues faced by librarians and information science professionals with regard to the knowledge society
  • Exploring the relationship between government schools and public libraries in the context of South Asia
  • The importance of resource-sharing in an international library network: bridging gaps using modern technology
  • Tackling indigenous knowledge by adopting innovative tools and strategies
  • The influence of library aid in developing countries during globalization
  • A critical comparison of American librarianship and information science research in European countries
  • Learnings from major book acquisitions in American academic libraries
  • The expanding purview of American ideas in German public libraries
  • The British Council and its critical role in building bridges across the developing world

Browsing through sample topics in library and information science can help you brainstorm your own ideas more effectively. Take the time to scan such resources and choose a topic that you can convincingly discuss and analyze. A good source for potential research paper topics and paper help is mypaperwriter.com , also papers written by past students as well as reputed works in the field.

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Library and information science research papers/topics, perspectives on knowledge management:: a literature review.

Abstract: This paper is a study of theoretical perspectives on knowledge and Knowledge Management. Business organizations in the 21st century need effective Knowledge Management practices in order to enhance the performance and growth of their businesses and ensure long-term sustainability and competitive advantage. An understanding and appreciation of knowledge as a strategic resource is critical for organisational decision makers so that they can take Knowledge Management more seriously. T...

Motivation Cognitive and Behavioral Theories and Techniques

This paper describes Motivation: Cognitive and behavioral theories and techniques, it analyzed the three theories underlying the cognitive and behavioral theories and techniques, it examined the expectancy theory, assumptions underlying expectancy theory, the explanation, the applicability of the expectancy theory. It also examined the equity theory of motivation, gave an explanation of the equity theory, application of equity theory in an educational organization. It also examined the goal s...

A Critique of the paper ‘Library Architecture around the World’ by Garba, Chiwendu and Mustapha

For the past two decades, libraries have been dramatically reinventing their physical spaces. The traditional model of cavernous reading rooms and dark warrens separated by stacks of books is incompatible with the digital age. The library of today and tomorrow must provide versatile spaces that support a wide range of users’ learning and research activities while accommodating rapid advances in information technology (IT). As expectations for library resources and physical facilities have c...

How to Write an Empirical Review

The purpose of the paper is to offer guidance on how to write an empirical review. The paper presented an introduction, and discussed the concept of empirical review, the importance of empirical review, steps for writing empirical review, apractical approach to writing an empirical review, characteristics of a good empirical review and concluded with the following statement; well-crafted empirical reviews are the cornerstone of good papers, however it is not uncommon to find weak, or even abs...

Diversity of Information Services in the Library World

Regardless of which type of library and the environment it is designed to serve, the basic mission and objectives of information service provision should be to support and promote natural and social justice, equity, fair play and democratization of information access and utilization.  It is within this perspective that the Universal Declaration of Human Rights and the United Nations Convention on the Rights of Persons with Disabilities under the principles of non-discrimination, equal opport...

Controlled vocabulary

Virtually every common word in the English language has more than one meaning or senseand many of those senses have more than one nuance; many words can be used as nouns, verbs, adjectives, and/or adverbs. Search systems that purport to allow the use of natural language cannot yet successfully distinguish among different meanings or various parts of speech in very large general systems, although some progress has been made in narrow subject areas. 

Concepts of statistical analysis

In many fields of research, null hypothesis, significance tests, and p values are the accepted way of assessing the certainty with which research results can be extrapolated beyond the sample studied. The inevitable difficulties of statistical inference mean that these probabilities can only be tentative, but probabilities are the natural way to express uncertainties, so, arguably, researchers using statistical methods have an obligation to estimate how probable their hypotheses are by the be...

Concept of Information Retrieval and the Strategies

Information retrieval system (IRS) came into being as a means of ensuring that information generated and recorded do not get over time. Before knowledge became recorded, individuals formed the repository of knowledge. With libraries, repository of knowledge began to change into recorded form. 

An organized structure for vocabulary control

This paper examined the concept of controlled vocabulary, it gave the definition and discussed the major concerns in establishing a controlled vocabulary, the types of controlled vocabulary. The principles of creating vocabulary control, principles for applying controlled vocabulary, controlled vocabulary standards, mechanics of vocabulary control, the merits and demerits of vocabulary control, and vocabulary control challenges and their solutions, and other vocabulary control challenges. The...

A legal approach to indexing and Abstracting in academic libraries

The main aim of information is to get information at the right time. Therefore, this paper takes a legal approach to indexing and Abstracting in academic libraries. It generally takes an extensive look at the importance of indexing and abstracting as a tool for effective retrieval and dissemination of information in any academic library. 

A Critical Analysis of the Library of Congress

The Library of Congress houses the largest information resources, records and archival collection of materials in the world (Whitman, 2021). As part of the Library's mission to make its resources available and useful to the American public, the Library has digitized a number of these materials and has also created an array of online secondary sources that highlight life and work. 

Information Need and Seeking Behaviour of Pregnant Women in Ughelli General Hospital, Delta State

This paper examined the topic on information needs and seeking behaviour of Pregnant Women in Ughelli General Hospital, Delta State to this end therefore, the researcher came up with four objectives which are: to identify the information needs of pregnant women in ughelli general hospital, to ascertain the information seeking behaviour of pregnant women in ughelli general hospital, to identify the information sources used by pregnant women in ughelli general hospital, to identify challen...

Administration and Management of Digital Libraries: An Overview

This paper examined administration and management of digital libraries: an overview. The concept management was clearly defined and explained in the context o f the work; thereafter the term digital library was explained succinctly as an age that is characterized by efficient and effective conversion, storage, diffusion and dissemination of data to users. The various services that are performed in the digital environment were listed as follows: Circulation Services (Reader Services); Ser...

Knowledge and Access to Primary Health Care Information Among Women in Rural Setting

Primary health care center offer professional medical care for individuals based on a locality or community before shifting them to more advance hospital-based care. Unfortunately, few studies exist on Knowledge and access to primary health care information among women in rural area in developing countries. This study adopted interpretative paradigm and collected qualitative data using Dervin Sense-Making theory approach. The collected data were analyzed using inductive analytical processes. ...

Qualitative Data Collection, Analysis and Interpretation in Research Paradigms: The Case of Library and Information Science Research

Scholars base their research on certain philosophical paradigm. There is a close-fitting connection between interpretative research paradigm and qualitative methodology. Many novice scholars are experiencing difficulty in understanding the interconnection between interpretative research paradigm and qualitative methodology. Understanding this interconnection provides directions or guide for data collection, analysis and interpretation of findings. This article discussed the interconnection be...

Library and information Science Project Topics, thesis, seminars, research papers termpapers. Project topics in Library and information Science for students, undergraduates, MSc, HND, NCE.

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80+ Science Research Paper Topics Ideas For Students

Scientist stirring the flask

Essay writing or writing dissertation is an integral part of education at any level, middle school, high school, or college. Some of the most common essays are on science research topics, and they are also quite interesting. However, choosing research paper topics isn’t as straightforward as you’d like. You’ll need to carry out a survey on and draw inspiration from several scientific research topics before finally choosing one. Choosing science topics, especially if they are argumentative essay topics , to write about can be a frustrating task, especially when science is a pretty wide subject. If you need inspiration on interesting science topics, we’ll give you some science research paper ideas. But, first, let’s talk about how to choose the best science research paper topics – it makes things easier.

What Are Some Science Topics You Can Write About?

Interesting science research topics, ideas of science research topics for high school students, science research topics for college students, science research topics for middle school, scientific research question examples, science presentation ideas, cool science topics to research, ideas of scientific topics for research on nanotechnology, fascinating ideas for science research projects, interesting science topics for high school research papers, tips for choosing science research topics.

Being a very broad subject, students often find choosing a science topic for a research paper difficult. However, the secret is knowing what scientific research questions will make for a good paper, and what people will want to read. So, when choosing science topics for papers, here are tips you can follow to make the task easier.

  • Choose cool science topics you’re interested in and that’ll interest your readers.
  • Search online for research question examples science for ideas on what your paper should be about.
  • Avoid choosing too-broad research topics for high school, to ensure your work is well detailed.
  • Consider contemporary scientific research questions concerning recent happenings; they can be fun to write
  • Read your notes and online academic papers for inspiration on good science research paper topics.
  • Choose simple but highly informative research topics for high school students.
  • Choose good science topics you have some knowledge of and can confidently talk about.
  • Learn how to choose science topics for high school to make things easier.
  • Be familiar with the dos and don’ts of choosing scientific research paper topics.
  • Choose a scientific topic for research papers that has enough accessible information.

The Dos and Don’ts of Choosing Science Topics

Knowing the dos and don’ts of choosing a science title helps you select a good topic and ultimately write an outstanding paper. So, when searching for science topics for presentations,

  • Do understand that there are different topics in science you can research on;
  • Do read extensively for science research paper ideas; it helps you know what to write about;
  • Don’t include words like “Research of” or “Study of” in your chosen science topics to research;
  • Don’t choose high school science research paper topics with scanty or inaccessible information available;
  • Do check online for interesting science research ideas on how to write your paper;
  • Feel free to ask your instructor, colleagues, or seniors for scientific research ideas.

When searching for interesting science topics or social media research topics related to science to writing on, you will find different ones on different subjects, which can be confusing. You can follow the tips we listed for choosing science-related topics for a research paper. Meanwhile, here are some science paper topics you can use if none is forthcoming.

  • Is there a move for the Covid-19 vaccine?
  • What “flattening the curve” means
  • Molecular evidence of humans interbreeding with Neanderthals
  • Impact of cardio exercise on heart health
  • The importance of exploring the solar system
  • Can a comet strike the earth?
  • The Hubble Space Telescope
  • Top ten chemistry careers
  • Acid rain effect aquatic plants’ growth
  • Room color and human behavior
  • How can plants grow in pots?
  • Water’s surface tension weight capacity
  • What does the paleo diet mean?
  • Is Pluto still a planet?
  • The future of commercial space flight
  • Do you inherit fingerprint patterns?
  • Ways in which handwashing prevents the spread of the Covid-19 virus
  • Molecular biological research on rare genetic disorders impact on understanding cancer
  • Do men pass on genetic abnormalities to their posterity as they age?
  • How can men’s exercise affect the traits they pass on to their children?
  • Is there really life on Mars; has there ever been?
  • Ways of solving the problem of junk space
  • The importance of Dark Matter
  • Black holes
  • Different ways to keep ice from defrosting
  • Are pet hairs harmful to the human body?
  • Some of the germs you’ve seen in your school
  • The effect of music on your assimilation ability
  • The types of food dogs prefer the best
  • Good hygienic practices for keeping clean
  • Foods that develop molds the fastest
  • How different body parts aid the effective functioning of the system
  • Do worms in the soil really affect plant growth and how?
  • Can light brightness make plants grow well?
  • What kinds of fertilizers work best, chemical or natural?
  • Can mice (or any animal of your choice) learn?
  • How can age affect the human reaction?
  • Why does water boil faster when put in salt?
  • Can food affect the heart, how?
  • Can background noise interfere with learning and assimilation?
  • Can Higgs Boson destroy the universe?
  • Effects of sunspots on man
  • Should humans live in space?
  • The most important technological innovations in medicinal chemistry in recent years
  • The danger of chemicals emitted from pharmaceutical companies
  • The importance of big data and bioinformatics to chemical research
  • The sugar chemistry behind making candy
  • Biomacromolecules
  • Trends in India’s medicinal chemistry research
  • Nuclear fusion
  • Reproduction in mammals
  • How do fish mate?
  • How useful are science museums in teaching science?
  • Why do birds have beautiful feathers?
  • The safety of offshore drilling
  • The importance of climate change legislation
  • Hydraulic fracking’s negative effects
  • Uses of microelectronics
  • Nanotechnology in medicine
  • Nanotechnology for cancer treatment
  • Can nanofibers repair brain injuries?
  • Effect of nanomedicine on human lifespan
  • Nanomaterial
  • How nanotechnology helps in patient diagnosis
  • How to reduce antibiotic use in agriculture
  • The ethics of stem cell research
  • The best leukemia treatment
  • Gene therapy
  • Causes of skin cancer
  • Colonoscopy testing on colon cancer
  • Why eliminating malaria is difficult
  • The possibility of predicting the next pandemic
  • Do childhood vaccines prevent diseases?
  • How cells shield the body against diseases
  • Should wild animals interact with humans?
  • Are self-driving cars good?
  • Regulating sugar use
  • Different types of headaches
  • Can migraine cause death?
  • The ideal weight for living long

Feel free to choose from this scientific research topics list for your science research paper. There are many things to research where science is concerned, including stem research topics , among others. There is no shortage of scientific topics to research and choosing the best one gets easy when you know how to. If you’ve chosen a topic and you need help writing on them, you can contact our professional writing service. We have a team of experts who can write on any science topic and ensure you meet your deadline.

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Research Topics & Ideas: Environment

100+ Environmental Science Research Topics & Ideas

Research topics and ideas within the environmental sciences

Finding and choosing a strong research topic is the critical first step when it comes to crafting a high-quality dissertation, thesis or research project. Here, we’ll explore a variety research ideas and topic thought-starters related to various environmental science disciplines, including ecology, oceanography, hydrology, geology, soil science, environmental chemistry, environmental economics, and environmental ethics.

NB – This is just the start…

The topic ideation and evaluation process has multiple steps . In this post, we’ll kickstart the process by sharing some research topic ideas within the environmental sciences. This is the starting point though. To develop a well-defined research topic, you’ll need to identify a clear and convincing research gap , along with a well-justified plan of action to fill that gap.

If you’re new to the oftentimes perplexing world of research, or if this is your first time undertaking a formal academic research project, be sure to check out our free dissertation mini-course. Also be sure to also sign up for our free webinar that explores how to develop a high-quality research topic from scratch.

Overview: Environmental Topics

  • Ecology /ecological science
  • Atmospheric science
  • Oceanography
  • Soil science
  • Environmental chemistry
  • Environmental economics
  • Environmental ethics
  • Examples  of dissertations and theses

Topics & Ideas: Ecological Science

  • The impact of land-use change on species diversity and ecosystem functioning in agricultural landscapes
  • The role of disturbances such as fire and drought in shaping arid ecosystems
  • The impact of climate change on the distribution of migratory marine species
  • Investigating the role of mutualistic plant-insect relationships in maintaining ecosystem stability
  • The effects of invasive plant species on ecosystem structure and function
  • The impact of habitat fragmentation caused by road construction on species diversity and population dynamics in the tropics
  • The role of ecosystem services in urban areas and their economic value to a developing nation
  • The effectiveness of different grassland restoration techniques in degraded ecosystems
  • The impact of land-use change through agriculture and urbanisation on soil microbial communities in a temperate environment
  • The role of microbial diversity in ecosystem health and nutrient cycling in an African savannah

Topics & Ideas: Atmospheric Science

  • The impact of climate change on atmospheric circulation patterns above tropical rainforests
  • The role of atmospheric aerosols in cloud formation and precipitation above cities with high pollution levels
  • The impact of agricultural land-use change on global atmospheric composition
  • Investigating the role of atmospheric convection in severe weather events in the tropics
  • The impact of urbanisation on regional and global atmospheric ozone levels
  • The impact of sea surface temperature on atmospheric circulation and tropical cyclones
  • The impact of solar flares on the Earth’s atmospheric composition
  • The impact of climate change on atmospheric turbulence and air transportation safety
  • The impact of stratospheric ozone depletion on atmospheric circulation and climate change
  • The role of atmospheric rivers in global water supply and sea-ice formation

Research topic evaluator

Topics & Ideas: Oceanography

  • The impact of ocean acidification on kelp forests and biogeochemical cycles
  • The role of ocean currents in distributing heat and regulating desert rain
  • The impact of carbon monoxide pollution on ocean chemistry and biogeochemical cycles
  • Investigating the role of ocean mixing in regulating coastal climates
  • The impact of sea level rise on the resource availability of low-income coastal communities
  • The impact of ocean warming on the distribution and migration patterns of marine mammals
  • The impact of ocean deoxygenation on biogeochemical cycles in the arctic
  • The role of ocean-atmosphere interactions in regulating rainfall in arid regions
  • The impact of ocean eddies on global ocean circulation and plankton distribution
  • The role of ocean-ice interactions in regulating the Earth’s climate and sea level

Research topic idea mega list

Tops & Ideas: Hydrology

  • The impact of agricultural land-use change on water resources and hydrologic cycles in temperate regions
  • The impact of agricultural groundwater availability on irrigation practices in the global south
  • The impact of rising sea-surface temperatures on global precipitation patterns and water availability
  • Investigating the role of wetlands in regulating water resources for riparian forests
  • The impact of tropical ranches on river and stream ecosystems and water quality
  • The impact of urbanisation on regional and local hydrologic cycles and water resources for agriculture
  • The role of snow cover and mountain hydrology in regulating regional agricultural water resources
  • The impact of drought on food security in arid and semi-arid regions
  • The role of groundwater recharge in sustaining water resources in arid and semi-arid environments
  • The impact of sea level rise on coastal hydrology and the quality of water resources

Research Topic Kickstarter - Need Help Finding A Research Topic?

Topics & Ideas: Geology

  • The impact of tectonic activity on the East African rift valley
  • The role of mineral deposits in shaping ancient human societies
  • The impact of sea-level rise on coastal geomorphology and shoreline evolution
  • Investigating the role of erosion in shaping the landscape and impacting desertification
  • The impact of mining on soil stability and landslide potential
  • The impact of volcanic activity on incoming solar radiation and climate
  • The role of geothermal energy in decarbonising the energy mix of megacities
  • The impact of Earth’s magnetic field on geological processes and solar wind
  • The impact of plate tectonics on the evolution of mammals
  • The role of the distribution of mineral resources in shaping human societies and economies, with emphasis on sustainability

Topics & Ideas: Soil Science

  • The impact of dam building on soil quality and fertility
  • The role of soil organic matter in regulating nutrient cycles in agricultural land
  • The impact of climate change on soil erosion and soil organic carbon storage in peatlands
  • Investigating the role of above-below-ground interactions in nutrient cycling and soil health
  • The impact of deforestation on soil degradation and soil fertility
  • The role of soil texture and structure in regulating water and nutrient availability in boreal forests
  • The impact of sustainable land management practices on soil health and soil organic matter
  • The impact of wetland modification on soil structure and function
  • The role of soil-atmosphere exchange and carbon sequestration in regulating regional and global climate
  • The impact of salinization on soil health and crop productivity in coastal communities

Topics & Ideas: Environmental Chemistry

  • The impact of cobalt mining on water quality and the fate of contaminants in the environment
  • The role of atmospheric chemistry in shaping air quality and climate change
  • The impact of soil chemistry on nutrient availability and plant growth in wheat monoculture
  • Investigating the fate and transport of heavy metal contaminants in the environment
  • The impact of climate change on biochemical cycling in tropical rainforests
  • The impact of various types of land-use change on biochemical cycling
  • The role of soil microbes in mediating contaminant degradation in the environment
  • The impact of chemical and oil spills on freshwater and soil chemistry
  • The role of atmospheric nitrogen deposition in shaping water and soil chemistry
  • The impact of over-irrigation on the cycling and fate of persistent organic pollutants in the environment

Topics & Ideas: Environmental Economics

  • The impact of climate change on the economies of developing nations
  • The role of market-based mechanisms in promoting sustainable use of forest resources
  • The impact of environmental regulations on economic growth and competitiveness
  • Investigating the economic benefits and costs of ecosystem services for African countries
  • The impact of renewable energy policies on regional and global energy markets
  • The role of water markets in promoting sustainable water use in southern Africa
  • The impact of land-use change in rural areas on regional and global economies
  • The impact of environmental disasters on local and national economies
  • The role of green technologies and innovation in shaping the zero-carbon transition and the knock-on effects for local economies
  • The impact of environmental and natural resource policies on income distribution and poverty of rural communities

Topics & Ideas: Environmental Ethics

  • The ethical foundations of environmentalism and the environmental movement regarding renewable energy
  • The role of values and ethics in shaping environmental policy and decision-making in the mining industry
  • The impact of cultural and religious beliefs on environmental attitudes and behaviours in first world countries
  • Investigating the ethics of biodiversity conservation and the protection of endangered species in palm oil plantations
  • The ethical implications of sea-level rise for future generations and vulnerable coastal populations
  • The role of ethical considerations in shaping sustainable use of natural forest resources
  • The impact of environmental justice on marginalized communities and environmental policies in Asia
  • The ethical implications of environmental risks and decision-making under uncertainty
  • The role of ethics in shaping the transition to a low-carbon, sustainable future for the construction industry
  • The impact of environmental values on consumer behaviour and the marketplace: a case study of the ‘bring your own shopping bag’ policy

Examples: Real Dissertation & Thesis Topics

While the ideas we’ve presented above are a decent starting point for finding a research topic, they are fairly generic and non-specific. So, it helps to look at actual dissertations and theses to see how this all comes together.

Below, we’ve included a selection of research projects from various environmental science-related degree programs to help refine your thinking. These are actual dissertations and theses, written as part of Master’s and PhD-level programs, so they can provide some useful insight as to what a research topic looks like in practice.

  • The physiology of microorganisms in enhanced biological phosphorous removal (Saunders, 2014)
  • The influence of the coastal front on heavy rainfall events along the east coast (Henson, 2019)
  • Forage production and diversification for climate-smart tropical and temperate silvopastures (Dibala, 2019)
  • Advancing spectral induced polarization for near surface geophysical characterization (Wang, 2021)
  • Assessment of Chromophoric Dissolved Organic Matter and Thamnocephalus platyurus as Tools to Monitor Cyanobacterial Bloom Development and Toxicity (Hipsher, 2019)
  • Evaluating the Removal of Microcystin Variants with Powdered Activated Carbon (Juang, 2020)
  • The effect of hydrological restoration on nutrient concentrations, macroinvertebrate communities, and amphibian populations in Lake Erie coastal wetlands (Berg, 2019)
  • Utilizing hydrologic soil grouping to estimate corn nitrogen rate recommendations (Bean, 2019)
  • Fungal Function in House Dust and Dust from the International Space Station (Bope, 2021)
  • Assessing Vulnerability and the Potential for Ecosystem-based Adaptation (EbA) in Sudan’s Blue Nile Basin (Mohamed, 2022)
  • A Microbial Water Quality Analysis of the Recreational Zones in the Los Angeles River of Elysian Valley, CA (Nguyen, 2019)
  • Dry Season Water Quality Study on Three Recreational Sites in the San Gabriel Mountains (Vallejo, 2019)
  • Wastewater Treatment Plan for Unix Packaging Adjustment of the Potential Hydrogen (PH) Evaluation of Enzymatic Activity After the Addition of Cycle Disgestase Enzyme (Miessi, 2020)
  • Laying the Genetic Foundation for the Conservation of Longhorn Fairy Shrimp (Kyle, 2021).

Looking at these titles, you can probably pick up that the research topics here are quite specific and narrowly-focused , compared to the generic ones presented earlier. To create a top-notch research topic, you will need to be precise and target a specific context with specific variables of interest . In other words, you’ll need to identify a clear, well-justified research gap.

Need more help?

If you’re still feeling a bit unsure about how to find a research topic for your environmental science dissertation or research project, be sure to check out our private coaching services below, as well as our Research Topic Kickstarter .

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research topics on climate change and environment

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Thank so much for the research topics. It really helped

saheed

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Nandir Elaine shelbut

Research topics on environmental geology

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Thanks for the research topics….I need a research topic on Geography

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I want the research on environmental planning and management

Mvuyisi

I want a topic on environmental sustainability

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The English word science derives from the Latin  scire , “to know.” In many languages, the word science or its equivalents can be used broadly to mean “a systematic body of knowledge that guides our relations with the world.” This is the sense that is present in phrases such as “the social sciences.” There have existed many different knowledge systems of this type. All animals with brains have, and make use of, structured knowledge of the external world, so in principle we could claim that even animals depend on some form of science.

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Acoustics is the science that deals with the production, transmission, and reception of sound. The first scientist to study sound scientifically was German physicist Ernst Florens Friedrich Chladni (1756–1827). Chladni was an amateur musician who became interested in finding mathematical equations to describe musical sounds. Because of his work, he is often called the father of acoustics. Science research paper topics related to acoustics include:

  • Diffraction
  • Echolocation
  • Magnetic recording
  • Ultrasonics

The development of agriculture—the raising of crops and animals for food—has been fundamental to the development of civilization. Farming brought about the settlement of farm communities, which grew into towns and city-states. Farming also made possible sedentary (settled) lifestyles, which in turn led to increased technological development. As growing populations demand an ever-increasing food supply, the need for agricultural advances continues to this day. Science research paper topics related to agriculture include:

  • Agrochemical
  • Aquaculture
  • DDT (dichlorodiphenyltrichloroethane)
  • Organic farming
  • Slash-and-burn agriculture

Anatomy is a branch of biology that deals with the structure of plants and animals. Comparative anatomy is a related field in which the structures of different animals are studied and compared. There are three main areas of anatomy: gross anatomy deals with organs and organ groupings called systems that are visible to the naked eye; cytology is the study of cell structure; and histology examines the structure of tissues. Microscopes are used in both cytology and histology to study cell and tissue structures. Science research paper topics related to anatomy include:

  • Cholesterol
  • Circulatory system
  • Digestive system
  • Endocrine system
  • Excretory system
  • Immune system
  • Integumentary system
  • Lymphatic system
  • Muscular system
  • Nervous system
  • Reproductive system
  • Respiratory system
  • Skeletal system

Astrophysics uses the already understood theories of physics (the study of matter and energy) to describe astronomical (universal) phenomena or events. Astrophysicists try to understand the processes that cause our universe and everything in it to behave the way it does. Science research paper topics related to astrophysics include:

  • Archaeoastronomy
  • Big bang theory
  • Binary star
  • Brown dwarf
  • Celestial mechanics
  • Constellation
  • Dark matter
  • Extrasolar planet
  • Infrared astronomy
  • Meteor and meteorite
  • Neutron star
  • Radio astronomy
  • Solar system
  • Starburst galaxy
  • Star cluster
  • Stellar magnetic fields
  • Ultraviolet astronomy
  • White dwarf
  • X-ray astronomy

Biochemistry is the science dealing with the chemical nature of the bodily processes that occur in all living things. It is the study of how plants, animals, and microbes function at the level of molecules. Science research paper topics related to biochemistry include:

  • Carbohydrate
  • Fermentation
  • Nucleic acid

Biology (from the Greek bios, meaning “life”) is the scientific study of all forms of life, including plants, animals, and microorganisms. Biology is composed of many fields, including microbiology, the study of microscopic organisms such as viruses and bacteria; cytology, the study of cells; embryology, the study of development; genetics, the study of heredity; biochemistry, the study of the chemical structures in living things; morphology, the study of the anatomy of plants and animals; taxonomy, the identification, naming, and classification of organisms; and physiology, the study of how organic systems function and respond to stimulation. Biology often interacts with other sciences, such as psychology. For example, animal behaviorists would need to understand the biological nature of the animal they are studying in order to evaluate a particular animal’s behavior. Science research paper topics related to biology include:

  • Antibody and antigen
  • Biodiversity
  • Cryobiology
  • Eutrophication
  • Fertilization
  • Hibernation
  • Indicator species
  • Metamorphosis
  • Molecular biology
  • Photosynthesis
  • Reproduction
  • Respiration

Botany is a branch of biology that deals with plant life. It is the study of the structure and the vital processes of plants, including photosynthesis, respiration, and plant nutrition. Among the plants studied are flowering plants, trees, shrubs, and vines. Specialized areas within the field of botany include the study of mosses, algae, lichens, ferns, and fungi. Science research paper topics related to botany include:

  • Horticulture

Chemistry is the study of the composition of matter and the changes that take place in that composition. If you place a bar of iron outside your window, the iron will soon begin to rust. If you pour vinegar on baking soda, the mixture fizzes. If you hold a sugar cube over a flame, the sugar begins to turn brown and give off steam. The goal of chemistry is to understand the composition of substances such as iron, vinegar, baking soda, and sugar and to understand what happens during the changes described here. Science research paper topics related to chemistry include:

  • Acids and bases
  • Alkali metals
  • Aluminum family
  • Atomic mass
  • Biochemistry
  • Carbon family
  • Catalyst and catalysis
  • Chemical bond
  • Compound, chemical
  • Dyes and pigments
  • Electrolysis
  • Element, chemical
  • Equation, chemical
  • Formula, chemical
  • Industrial minerals
  • Lanthanides
  • Nitrogen family
  • Oxidation-reduction reaction
  • Oxygen family
  • Periodic table
  • Poisons and toxins
  • Reaction, chemical
  • Transition elements

Ecology is the study of the relationships of organisms with their living and nonliving environment. No organism exists entirely independently of other living and nonliving things around it. A cactus in the middle of the desert, for example, draws nourishment from the air and from the ground. It depends on sunlight for energy needed to grow. The cactus may be home to birds, lizards, and microscopic animals. Even relationships that seem to be stark and simple as that of the cactus with its surroundings involve complex ties that form the subject matter of ecology. Science research paper topics related to ecology include:

  • Alternative energy sources
  • Biodegradable
  • Carbon cycle
  • Endangered species
  • Environmental ethics
  • Food web and food chain
  • Gaia hypothesis
  • Greenhouse effect
  • Hydrologic cycle
  • Nitrogen cycle
  • Paleoecology
  • Pollution control
  • Rain forest
  • Waste management

Engineering is the art of applying science, mathematics, and creativity to solve technological problems. The accomplishments of engineering can be seen in nearly every aspect of our daily lives, from transportation to communications to entertainment to health care. Engineering follows a three-step process: analyzing a problem, designing a solution for that problem, and transforming that design solution into physical reality. Science research paper topics related to engineering include:

  • Aerodynamics
  • Compact disc
  • Diesel engine
  • Electric arc
  • Electric current
  • Electric motor
  • Electricity
  • Electrocardiogram
  • Electromagnetic field
  • Electromagnetic induction
  • Electronics
  • Fluorescent light
  • Incandescent light
  • Integrated circuit
  • Internal-combustion engine
  • LED (light-emitting diode)
  • Mass production
  • Steam engine
  • Superconductor
  • Transformer
  • Video recording

Genetics is the branch of biology concerned with the science of heredity. The term heredity refers to the way in which specific characteristics are transmitted from one generation to the next. For example, we know that a tall mother and a tall father tend to have children that are tall. Geneticists (scientists who study genetics) are interested in finding out two things about this observation. First, what is there in the cells of a person’s body that directs the body to become tall rather than short. Second, how are the directions for “tallness” transmitted from parent to offspring, from one generation to the next? Science research paper topics related to genetics include:

  • Biotechnology
  • Birth defects
  • Clone and cloning
  • Genetic disorders
  • Genetic engineering
  • Human Genome Project
  • Mendelian laws of inheritance

Geology is the scientific study of Earth. Geologists study the planet—its formation, its internal structure, its materials, its chemical and physical processes, and its history. Mountains, valleys, plains, sea floors, minerals, rocks, fossils, and the processes that create and destroy each of these are all the domain of the geologist. Geology is divided into two broad categories of study: physical geology and historical geology. Science research paper topics related to geology include:

  • Catastrophism
  • Coast and beach
  • Continental margin
  • Earth science
  • Earth’s interior
  • Geologic map
  • Geologic time
  • Natural gas
  • Oil drilling
  • Plate tectonics

Mathematics is the science that deals with the measurement, properties, and relationships of quantities, as expressed in either numbers or symbols. For example, a farmer might decide to fence in a field and plant oats there. He would have to use mathematics to measure the size of the field, to calculate the amount of fencing needed for the field, to determine how much seed he would have to buy, and to compute the cost of that seed. Mathematics is an essential part of every aspect of life—from determining the correct tip to leave for a waiter to calculating the speed of a space probe as it leaves Earth’s atmosphere. Science research paper topics related to mathematics include:

  • Boolean algebra
  • Complex numbers
  • Correlation
  • Graphs and graphing
  • Imaginary number
  • Multiplication
  • Natural numbers
  • Proof (mathematics)
  • Pythagorean theorem
  • Trigonometry

Organic chemistry is the study of compounds of carbon. The name organic goes back to a much earlier time in history when chemists thought that chemical compounds in living organisms were fundamentally different from those that occur in nonliving things. The belief was that the chemicals that could be extracted from or that were produced by living organisms had a special “vitalism” or “breath of life” given to them by some supernatural being. As such, they presented fundamentally different kinds of problems than did the chemicals found in rocks, minerals, water, air, and other nonliving entities. The chemical compounds associated with living organisms were given the name organic to emphasize their connection with life. Science research paper topics related to organic chemistry include:

Paleontology is the study of ancient life-forms of past geologic periods. Paleontologists learn about ancient animals and plants mainly through the study of fossils. These may be the actual remains of the animal or plant or simply traces the organism left behind (tracks, burrows, or imprints left in fine sediments). Science research paper topics related to paleontology include:

  • Dating techniques
  • Fossil and fossilization

Physics is the science that deals with matter and energy and with the interaction between them. Perhaps you would like to determine how best to aim a rifle in order to hit a target with a bullet. Or you want to know how to build a ship out of steel and make sure that it will float. Or you plan to design a house that can be heated just with sunlight. Physics can be used in answering any of these questions. Science research paper topics related to physics include:

  • Acceleration
  • Antiparticle
  • Atomic theory
  • Cathode-ray tube
  • Conservation laws
  • Doppler effect
  • Electromagnetism
  • Evaporation
  • Fluid dynamics
  • Gravity and gravitation
  • Interference
  • Laws of motion
  • Nuclear fission
  • Nuclear fusion
  • Particle accelerators
  • Photoelectric effect
  • Quantum mechanics
  • Radioactivity
  • Relativity theory
  • Subatomic particles
  • Temperature
  • Thermodynamics
  • Virtual reality
  • Wave motion

What is Science?

The term  science  (in Latin  scientia , in Greek  epist é m é ) means “knowledge.” In philosophy it refers strictly to proven ideas, to the exclusion of hypotheses or speculations. Until the twentieth century, proof remained mysterious, but what it achieves has been clear since antiquity: certainty, truth unshakable by criticism or doubt. In the nineteenth century Newtonian mechanics was admitted as scientific in this strict sense, and its overthrow was an earthquake. Scholars now agree that certitude is limited to logic and mathematics. Thus scientists have shifted their efforts toward securing for science a surrogate certainty—usually probability.

This shift raises many new questions, thus far unstudied. For example, is Isaac Newton’s theory still scientific? In 1962 the historian of science Thomas S. Kuhn spoke of “pre-science” and of “petrified science.” Which defunct theory should remain in the up-to-date science textbook? Kuhn suggested that it should present only the latest ideas. Which ones? If not proof, what makes an idea scientific? This is one version of the problem of the demarcation of science (as sets of statements) in disregard for other aspects of the scientific enterprise and its context— intellectual, educational, sociopolitical, and so on. Another possible point of departure is the social dimension of science. In the early seventeenth century the English philosopher Francis Bacon said that the advancement of science would improve the human condition, so investing efforts in scientific research would be the most efficient way to spend one’s spare time. Georg Wilhelm Friedrich Hegel, the early-nineteenth-century German philosopher, noted that the invention of gunpowder made city walls useless and so altered the political landscape. The German political philosopher Karl Marx in the nineteenth century equated science with technology ( grosso   modo ) and declared all social and political changes as due to technological progress. Following on Marx, in 1939 the English physicist J. D. Bernal made the dubious claim that medieval science was superior to ancient science. In 1964 the Marxist philosopher Louis Althusser rejected many of Marx’s sweeping generalizations but still declared the humanities mostly errors that express bourgeois ideology; he contrasted this ideology with science proper, which includes both the exact sciences and revolutionary dialectical materialism as he understood it. He did not trouble himself to demarcate these fields sufficiently to invite detailed discussions as to whether a certain theory, say, in physics or in economics, is or is not scientific. In 1919—decades before Althusser—the American economist Thorstein Veblen studied the nature of science in an effort to examine the validity of claims for the scientific status of diverse economic theories, including that of Marx. He demarcated science historically, by reference to the scientific ethos that, he said, these theories represent; this ethos is often called  humanism , the same ethos that Althusser later dismissed as bourgeois. Veblen also drew attention to the wealth of empirical finds and role of theories as explanatory (as opposed to classificatory).

Twentieth-century social science developed ideas about specific aspects of society, including prestige—social prestige, the prestige of ideas, and the prestige of scientific ideas. (Prestige is enhanced by power over life; thus nuclear physics is most prestigious.) The concept of science must include the gathering of some sort of empirical information and the search for some interconnections between that information and certain ideas. Science then appears to involve intellectual activities of some sort.

Already four centuries ago Bacon deemed science the outcome of the indiscriminate collection of factual information and its use as a solid foundation on which to construct truly scientific ideas. His view, perhaps modified, prevails as the myth of science. (Being a myth proper, it is used at times in its original variant and at other times in modification.) The problem of demarcation then becomes: What do I know, and how can I show that I truly know it? This approach puts science in a psychological context, raising the question, as suggested by the twentieth-century philosopher of science Karl Popper: Is the psychology used to characterize science scientific? Science is also a publicly available fund of knowledge; the traditional view of it as psychological leads to the view (characteristic of the approaches known as reductionism and psychologism) of everything social as inherently psychological.

If science can be viewed as psychological, so too can mathematics, as suggested by Bacon and the nineteenthcentury English philosopher and economist John Stuart Mill. The refutation of this notion led to the revolutionary shift of the view of knowledge from psychology to sociology—from my knowledge to ours—opening the way for the study of the enterprise of science, its prestige, and the social class of its practitioners. This in turn opens interesting secondary questions: Are the teaching of science and the administration of science scientific? (Is the dean of the faculty of science a scientist?) Is all sciencebased technology scientific? The sociology of science, a young discipline hatched in the early twentieth century, has not yet reached these questions. Such questions pose a difficulty: Science is international, but science-based professions are not. (Compare Japanese science with Japanese technology.) Come to think of it, how international is science? (Is establishing some lingua franca for science advisable?)

Here is a general dispute about all human studies: Existentialists and postmodernists want them to be utterly context dependent, case by case; positivists and analysts want them utterly context free. Seeking a middle ground in sociological laws to set limits on fragmentation, one may view social institutions as generalizations that determine the extent of context dependence. Money is one such institution. Rather than speak separately of the interests of every economic agent, we speak of their profit motive, which, as Georg Simmel argued in 1900, is an intermediary. This role of money makes it important and explains the success of the economic theory that eliminates it from its equations (by replacing prices with relative prices). The trouble is, while waiting for sociology to develop, how should social scientists proceed? They can make use of trivial sociology that at times is powerful. The suitable general concept here is that of games or science regulated by recognized rules (usually institutionalized). Games need not be problematic unless placed under the artificial limitations imposed in game theory, and as in the case of war games, they need not always be frivolous. As to the triviality of the sociology of games, it is advantageous: It stops the question-begging nature of the theory of science from becoming a nuisance. Thus the rules of the game are negotiable. The game of science then might, but need not, exclude science administration, science education, (science-based) technology, and more. Also the rules may be flexible. All this is a secondary issue, as it obviously should be, as long as science remains chiefly the search for ideas and information of a certain kind. The problem of demarcation now reappears: Which kind? Any kind we want.

As this view of science allows excessive freedom, it also invites instituting limitations—to some function, to some tradition, or to some existing paradigms. Paradigms can be ideas (Newton on gravity), preferred ideas (Einstein), institutions (the Royal Society of London, the local medical school, the patent office), traditions, perhaps ways of life. Approaches to problems via paradigms are limited: Taken too seriously, they prove troublesome as too much may depend on an innocent arbitrary choice. The paradigm of this trouble concerns choices of words resting on the view that the commonness of usage is its only justification. We do not want all usage justified, because we want language to function as a useful means for communication.

What then is the function of science? Among several functions, its most conspicuous is explanation, discovery, invention, better living. Jumping a few steps ahead, one can say that its chief function is the search for true explanations (as suggested by Newton, Einstein, and Popper). Its other functions are peripheral. Assuming this to be the case, one can view science as primarily but not solely the enterprise of approaching true explanations of increasing funds of publicly available information.

This is lovely but full of holes. How do we learn from experience? In what way are scientific theories empirical? Popper broke new ground when he said that theories are empirical when they exclude certain observations and to the extent that they do so. Testing them is, then, the search for these observations; the function of testing theories is to refute them so as to usher in their successors. Applying such a test to the theories of Marx and Sigmund Freud, Popper proved them nonempirical. This approach depends on the exact wording of theories, which may become testable by the enrichment of their contents. Popper later tried to square the two ideas: that the empirical is the refutable and that the aim of theorizing is the approximation of the truth (Einstein). The success of his attempt is under debate.

Robert K. Merton approached matters more historically. In 1938, in the wake of Max Weber, the German sociologist of the late nineteenth century and early twentieth century, Merton identified the scientific revolution with the establishment of the Royal Society of London and the motive for it as Protestantism. He then developed a quasi-Weberian model of science, resting on the theory of science of William Whewell (1840, 1858). Merton’s views earned much fame and much criticism. The criticism is at times valid, as Whewell’s view is outdated, and at times based on trivial evidence that he idealized science (which he frankly admitted), both in the sense of presenting it at its best and in the sense that Weber recommended the developing of an ideal type. Reports on poor examples of laboratory life as if they were representative appeared as alleged refutations of his views, although fraud is hard to eradicate anywhere.

The presentation of science by Michael Polanyi (1958, 1966) is the most intriguing, even though he played down the rationality of science. He compared the sociology of science to that of the arts and deemed both artistic and scientific training as the tacit transmission of ways of life in workshops by way of personal example. Polanyi’s view is insightful and beneficial, although it overstresses tradition as endorsement while slighting the traditional encouragement of criticism and of independence (as suggested by Popper). Polanyi was in error when he ignored efforts to render the tacit explicit and open the results to criticism.

Polanyi’s views were further developed by Kuhn, who wished to extend the instruction of leaders beyond their immediate personal example limited to their workshops. Their products can travel and serve as substitutes for personal examples. These become chief examples or, in Greek, paradigms. A science is mature, he said, as it gains a ruling paradigm. This notion appealed to those who wanted their products to serve as paradigms, especially in social studies, where the craving for status is strong. Kuhn later admitted that a territory can be divided between paradigms. He also admitted that identifying a paradigm is difficult. This difficulty should not trouble followers of Polanyi, but it does bother followers of Kuhn, as he declared paradigms obligatory. Kuhn’s approach runs contrary to the view of Merton about the liberalism of science. Kuhn also declared his theory applicable only to the study of nature, not of society.

How do the studies of nature and society differ? Any discussion of this question has to be in accord with one view of science or another. One may of course go to and fro, using the best view of science to differentiate natural and social science and then taking the best differentiation one has to try to learn what it says about science. One thing is certain: Social sciences have a more important role to play in the discussion of science than was heretofore believed.

BIBLIOGRAPHY:

  • Agassi, Joseph. 1981. Sociologism in Philosophy of Science. In  Science and Society: Studies in the Sociology of Science , 85–103. Hingham, MA: Kluwer Boston.
  • Althusser, Louis. 1964. Marxisme et humanisme.  Cahiers de   l’Institut de Science Économique Appliquée  20: 109–133.
  • Althusser, Louis. 1996. Marxism and Humanism. In  For Marx . Trans. Ben Brewster, 219–241. London: Verso, 1996.
  • Bacon, Francis. [1620] 2000.  Novum Organum  [The new organon], eds. Lisa Jardine and Michael Silverthorne. Cambridge, U.K., and New York: Cambridge University Press.
  • Bernal, J. D. 1939.  The Social Function of Science . London: Routledge.
  • Carnap, Rudolf, and Richard C. Jeffrey, eds. 1971–1980.  Studies   in Inductive Logic and Probability . 2 vols. Berkeley: University   of California Press.
  • Einstein, Albert. 1994.  Ideas and Opinions . New York: Modern Library.
  • Hegel, Georg Wilhelm Friedrich. [1837] 2004.  The Philosophy of   History . Trans. J. Sibree. University of Idaho, Department of   Philosophy.               http://www.class.uidaho.edu/mickelsen/texts/Hegel%20-20Philosophy%20of%20History.htm
  • Kuhn, Thomas S. 1962.  The Structure of Scientific Revolutions . Chicago: University of Chicago Press.
  • Latour, Bruno, and Steve Woolgar. 1986.  Laboratory Life: The   Construction of Scientific Facts . Foreword by Jonas Salk.   Princeton, NJ: Princeton University Press.
  • Levi, Isaac. 1986.  Hard Choices: Decision Making under   Unresolved Conflict . Cambridge, U.K., and New York:Cambridge University Press.
  • Merton, Robert K. [1938] 2001.  Science, Technology, and Society   in Seventeenth-Century England . New York: Howard Fertig.
  • Merton, Robert K. 1965.  On the Shoulders of Giants . New York: Free Press.
  • Notturno, Mark A. 1985.  Objectivity, Rationality and the Third   Realm: Justification and the Grounds of Psychologism: A Study   of Frege and Popper . Dordrecht, Netherlands: Kluwer   Academic Publishers.
  • Polanyi, Michael. 1958.  Personal Knowledge: Towards a Post-   Critical Philosophy . Chicago: University of Chicago Press.
  • Polanyi, Michael. 1966.  The Tacit Dimension . Garden City, NY: Doubleday.
  • Popper, Karl R. 1945.  The Open Society and Its Enemies . London: Routledge.
  • Popper, Karl R. 1959.  The Logic of Scientific Discovery . New York: Basic Books.
  • Popper, Karl R. 1972. Knowledge without the Knowing Subject. In  Objective Knowledge: An Evolutionary Approach , 106–152. Oxford: Clarendon.
  • Russell, Bertrand. 1931.  The Scientific Outlook . New York: Norton.
  • Russell, Bertrand. 1948.  Human Knowledge, Its Scope and Limits . New York: Simon and Schuster.
  • Simmel, Georg. [1900] 2004.  The Philosophy of Money , ed. David Frisby. Trans. Tom Bottomore and David Frisby. 3rd ed. London and New York: Routledge.
  • Veblen, Thorstein. [1919] 1990.  The Place of Science in Modern   Civilization and Other Essays . New Brunswick, NJ:   Transaction.
  • Wettersten, John R. 1995. Preliminary Report on Efforts of Psychologism to Gain Influence in Proper Epistemological, Methodological, and Psychological Societies. In  Critical   Rationalism: Essays for Joseph Agassi , eds. I. C. Jarvie and Nathaniel Laor. Vol. 2. Dordrecht, Netherlands, and Boston: Kluwer Academic Publishers.
  • Whewell, William. 1858.  Novum Organum Renovatum . London: John W. Parker.
  • Whewell, William. 1967.  The Philosophy of the Inductive Sciences,   Founded upon Their History . 2 vols. New York and London:   Johnson Reprint Corporation.

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Social-Science Genomics: Progress, Challenges, and Future Directions

Rapid progress has been made in identifying links between human genetic variation and social and behavioral phenotypes. Applications in mainstream economics are beginning to emerge. This review aims to provide the background needed to bring the interested economist to the frontier of social-science genomics. Our review is structured around a theoretical framework that nests many of the key methods, concepts and tools found in the literature. We clarify key assumptions and appropriate interpretations. After reviewing several significant applications, we conclude by outlining future advances in genetics that will expand the scope of potential applications, and we discuss the ethical and communication challenges that arise in this area of research.

For helpful comments and suggestions, we thank Peter M. Visscher and the University of Queensland Statistical Genomics Lab Meeting. For excellent research assistance, we are grateful to Matthew Howell and Moeen Nehzati. For financial support, we thank the NIA/NIH (grants R24-AG065184, R01-AG042568, R00-AG062787, and R01-AG081518) and Open Philanthropy. The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research.

MARC RIS BibTeΧ

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Discover optimal conditions for mass production of ultraviolet holograms

Professor Junsuk Rho from the Department of Mechanical Engineering, Chemical Engineering, and Electrical Engineering, Hyunjung Kang and Nara Jeon, PhD candidates, from Department of Mechanical Engineering and Dongkyo Oh, a PhD student, from the Department of Mechanical Engineering at Pohang University of Science and Technology (POSTECH) successfully conducted a thorough quantitative analysis. Their aim is to determine the ideal printing material for crafting ultraviolet metasurfaces. Their findings featured in the journal Microsystems & Nanoengineering on April 22.

Metasurfaces, these ultra-thin optical devices, possess the remarkable ability to control light down to a mere nanometer thickness. Metasurfaces have consistently been the subject of research as a pivotal technology for the advancement of next-generation displays, imaging, and biosensing. Their reach extends beyond visible light, delving into the realms of infrared and ultraviolet light.

Nanoimprint lithography is a technology in metasurface production, akin to a stamp generating numerous replicas from a single mold. This innovative technique promises affordable and large-scale manufacturing of metasurfaces, paving the way for their commercial viability. However, the resin utilized as the printing material suffers from a drawback -- a low refractive index, hindering efficient light manipulation. To tackle this challenge, researchers are actively exploring nanocomposites, integrating nanoparticles into the resin to boost its refractive index. Yet, the efficacy of this approach depends on various factors such as nanoparticle type and solvent choice, necessitating a systematic analysis for optimal metasurface performance.

In their research, the team meticulously designed experiments to evaluate the impact of nanoparticle concentration and solvent selection on pattern transfer and UV metaholograms. Specifically, they manipulated the concentration of zirconium dioxide (ZrO 2 ), a nanocomposite renowned for its effectiveness in UV metahologram production, ranging from 20% to 90%. The findings showed that the highest pattern transfer efficiency was attained at an 80% concentration level.

Moreover, when combining ZrO 2 at an 80% concentration with various solvents such as methylisobutyl ketone, methyl ethyl ketone, and acetone for metahologram realization, the conversion efficiency soared in the ultraviolet spectrum (325 nm), reaching impressive levels of 62.3%, 51.4%, and 61.5%, respectively. This research marks a significant milestone by establishing an optimal metric for achieving metaholograms specifically tailored for the ultraviolet domain, as opposed to the visible range, while also pioneering the development of new nanocomposites.

Professor Junsuk Rho from POSTECH remarked, "The use of titanium dioxide (TiO 2 ) and silicon (Si) nanocomposites instead of ZrO 2 expands the applicability to visible and infrared light." He expressed expectation by stating, "Our future research endeavors will focus on refining the preparation conditions for optimal nanocomposites, thus propelling the advancement, application and expansion of optical metasurface fabrication technology."

The research was conducted with support from the STEAM Research Program, the RLRC Program, and the Nano-materials Source Technology Development Project of the National Research Foundation of Korea and the Ministry of Science and ICT, the Alchemist Project of Ministry of Trade, Industry and Energy and the Korea Planning & Evaluation Institute of Industrial Technology, and the N.EX.T IMPACT of POSCO Holdings.

  • Engineering
  • Materials Science
  • Civil Engineering
  • Information Technology
  • Computer Modeling
  • Computational Biology
  • Computer Science
  • Ultraviolet
  • Earth science
  • Radiography

Story Source:

Materials provided by Pohang University of Science & Technology (POSTECH) . Note: Content may be edited for style and length.

Journal Reference :

  • Hyunjung Kang, Dongkyo Oh, Nara Jeon, Joohoon Kim, Hongyoon Kim, Trevon Badloe, Junsuk Rho. Tailoring high-refractive-index nanocomposites for manufacturing of ultraviolet metasurfaces . Microsystems & Nanoengineering , 2024; 10 (1) DOI: 10.1038/s41378-024-00681-w

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Novel and Emerging Therapies for Food Allergy

Alexander S. Zhovmer, PhD

Office of Vaccines Research and Review Division of Bacterial, Parasitic, and Allergenic Products Laboratory of Immunobiochemistry

[email protected]

Dr. Alexander S. Zhovmer serves as a Principal Investigator in the Laboratory of Immunobiochemistry, studying the immunology of food allergy. He received a master’s degree in medical biology at the Novosibirsk State University, working on the immunology of breast cancer at the Institute of Clinical Immunology in Novosibirsk, Russia. During his Ph.D. training at the University of Strasbourg, he worked with Drs. Frederic Coin and Jean-Marc Egly at the Institute of Genetics and Molecular and Cellular Biology in Illkirch-Graffenstaden, France, discovering novel mechanisms of DNA damage detection and repair. During his postdoctoral training with Dr. Xiaohui Qu at the Memorial Sloan Kettering Cancer Center in New York, he developed new methods for quantitative single-molecule analysis of eukaryotic gene expression. Working with Dr. Robert Adelstein at the National Heart, Lung, and Blood Institute, NIH, he combined human and mouse genetics, advanced imaging, and biomimetic engineering to uncover mechanisms regulating immune cell motility and shape established through interactions with the extracellular matrix.

Currently, Dr. Alexander Zhovmer studies prospective immunotherapies for food allergy, allergenic imprinting, and mechanisms of coordinated actions of immune cells in tissues.

After cancer, AIDS, and cardiovascular illnesses, allergies are the fourth most common global pathologic condition, affecting up to half of the population in the industrialized countries. More than half of all Americans are impacted by food allergies and sensitivities, including multi-food allergies. The latter are more prevalent among non-Hispanic Black and Asian children compared to non-Hispanic White children, as well as more prevalent among inner-city populations with asthma. Food allergies typically manifest via local inflammation in gastrointestinal tract, lungs, and skin, but sometimes allergic reactions progress to potentially lethal anaphylaxis. Along with venom and drug allergies, food allergies rank among the top three causes of anaphylaxis, and the severity and incidence of food allergies has steadily increased over the past two decades.

In the U.S., the prevalence of food allergies in children increased by 50% between 1997 and 2011, and for peanut and tree nut allergies the prevalence more than tripled between 1997 and 2008. Similarly, childhood hospitalizations for food allergy tripled between the late 1990s and the mid-2000s. Anaphylactic reactions resulting from food allergy increased by 377% between 2007 and 2016. The cost of living with food allergies has become a financial burden, both on affected individuals and on the public health system. Childhood food allergies alone cost the U.S. $24.8 billion annually, including $5.5 billion in out-of-pocket costs to families.

Current options for treatment of food allergies are limited. However, recent advances in preclinical and clinical immunotherapy studies have greatly broadened the potential to manipulate immune system in patients with allergies, counteracting pathological immune responses. These new approaches include allergen immunotherapy, DNA or viral-like particle vaccines, biologics such as anti-IgE antibodies, as well as gene and cell therapy with gene-modified immune cells. Since FDA oversees clinical studies designed to support the safety and effectiveness of these new investigational products, our research program focuses on studying novel and emerging therapies for food allergy. The research thereby develops expertise, collects data, and creates technologies which impact new products to protect and advance public health.

In our research program, we develop animal models of emerging therapies for food allergy. This work promotes accurate and comprehensive characterization of the safety, efficacy, quality, and performance of the products FDA regulates. Furthermore, to evaluate emerging therapies, we combine animal models with biomarker panels, advanced in vitro platforms, and state-of-the-art methods such as physiological-like elastic hydrogels and nanotextured 3D systems, AI-enhanced super-resolution microscopy, and multiplexed tissue imaging. Using these tools, we study: (a) the physiological and pathological behavior of immune cells in tissues, (b) therapeutic effects and potential adverse reactions to prototype products, and (c) the potential for establishment of permanent immunologic tolerance to common foods by using gene and cell therapy approaches.

Important Links

  • ORCID ID:  0000-0003-3465-4953

Publications

  • Sci Adv 2024 Jan 5;10(1):eadi1788 Septins provide microenvironment sensing and cortical actomyosin partitioning in motile amoeboid T lymphocytes. Zhovmer AS, Manning A, Smith C, Nguyen A, Prince O, Sáez PJ, Ma X, Tsygankov D, Cartagena-Rivera AX, Singh NA, Singh RK, Tabdanov ED
  • Adv Sci 2023 Nov;10(31):e2302229 Dynein-powered cell locomotion guides metastasis of breast cancer. Tagay Y, Kheirabadi S, Ataie Z, Singh RK, Prince O, Nguyen A, Zhovmer AS, Ma X, Sheikhi A, Tsygankov D, Tabdanov ED
  • Cancers 2023 Jun 30;15(13):3432 Vitamin D receptor antagonist MeTC7 inhibits PD-L1. Khazan N, Quarato ER, Singh NA, Snyder CWA, Moore T, Miller JP, Yasui M, Teramoto Y, Goto T, Reshi S, Hong J, Zhang N, Pandey D, Srivastava P, Morell A, Kawano H, Kawano Y, Conley T, Sahasrabudhe DM, Yano N, Miyamoto H, Aljitawi O, Liesveld J, Becker MW, Calvi LM, Zhovmer AS, Tabdanov ED, Dokholyan NV, Linehan DC, Hansen JN, Gerber SA, Sharon A, Khera MK, Jurutka PW, Rochel N, Kim KK, Rowswell-Turner RB, Singh RK, Moore RG
  • ACS Nano 2021 Nov 23;15(11):17528-48 Mechanical counterbalance of kinesin and dynein motors in a microtubular network regulates cell mechanics, 3D architecture, and mechanosensing. Zhovmer AS, Manning A, Smith C, Hayes JB, Burnette DT, Wang J, Cartagena-Rivera AX, Dokholyan NV, Singh RK, Tabdanov ED
  • Nanomedicine 2021 Oct;37:102442 Programmable DNA-augmented hydrogels for controlled activation of human lymphocytes. Zhovmer AS, Chandler M, Manning A, Afonin KA, Tabdanov E
  • Nat Commun 2021 May 14;12(1):2815 Engineering T cells to enhance 3D migration through structurally and mechanically complex tumor microenvironments. Tabdanov ED, Rodríguez-Merced NJ, Cartagena-Rivera AX, Puram VV, Callaway MK, Ensminger EA, Pomeroy EJ, Yamamoto K, Lahr WS, Webber BR, Moriarity BS, Zhovmer AS, Provenzano PP

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Scientists create robot snails that can move independently using tracks or work together to climb

by Bob Yirka , Tech Xplore

Scientists create robot snails that can move independently using tracks or work together to climb

A team of roboticists at the Chinese University of Hong Kong has created a robot snail with a helmet-like shell that moves by rolling around on bulldozer-like tracks. They have published a paper on their research in Nature Communications .

Over the past several years, robot engineers have developed a wide variety of robots. Some can fly, others can swim and more can move across floors or landscapes. In this new effort, the researchers noted that the flying and swimming robots are able to move about in three-dimensional space, while those that walk, roll or crawl are limited to two dimensions. They sought to bridge that gap by developing a type of robot that could create its own three-dimensional space.

The result was a robot that looks like a snail, with a metal shell and a track that allows it to move around. In action, it resembles a WWI-era tank. But what sets the snail-like robot apart is the retractable suction cup that sits between its tracks. Its purpose is to allow the robot to adhere to another robot just like it.

Several robots can connect by using the suction cup to cling to the helmet of the robot ahead to form a train. They can also create stair steps that allow others of their kind to climb up and over objects. Because each of the robots has its own processor, it can work on its own or with others—when working together, the robots communicate with one another, helping to coordinate activities.

The research team notes that the tracks allow the robots to move across a wide variety of surfaces, both smooth and uneven. There are also magnets embedded in the tracks that help the robots climb on top of each other to create steps or other structures. Once they have the correct placement, they deploy the suction cup to hold fast.

The team found the robots capable of moving independently, climbing up steps as a collective and even making their way across gaps like ants do when forming bridges. They note that currently the robots are remotely controlled, but the researchers hope the robots will eventually be able to work autonomously. The team believes they could be used in field research , conducting search and rescue, or even in space missions as planetary probes.

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