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80+ Science Research Paper Topics Ideas For Students

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.

Seventy-Five Scientific Research Projects You Can Contribute to Online

From astrophysicists to entomologists, many researchers need the help of citizen scientists to sift through immense data collections

Rachael Lallensack

Former Assistant Editor, Science and Innovation

If you find yourself tired of streaming services, reading the news or video-chatting with friends, maybe you should consider becoming a citizen scientist. Though it’s true that many field research projects are paused , hundreds of scientists need your help sifting through wildlife camera footage and images of galaxies far, far away, or reading through diaries and field notes from the past.

Plenty of these tools are free and easy enough for children to use. You can look around for projects yourself on Smithsonian Institution’s citizen science volunteer page , National Geographic ’s list of projects and CitizenScience.gov ’s catalog of options. Zooniverse is a platform for online-exclusive projects , and Scistarter allows you to restrict your search with parameters, including projects you can do “on a walk,” “at night” or “on a lunch break.”

To save you some time, Smithsonian magazine has compiled a collection of dozens of projects you can take part in from home.

American Wildlife

If being home has given you more time to look at wildlife in your own backyard, whether you live in the city or the country, consider expanding your view, by helping scientists identify creatures photographed by camera traps. Improved battery life, motion sensors, high-resolution and small lenses have made camera traps indispensable tools for conservation.These cameras capture thousands of images that provide researchers with more data about ecosystems than ever before.

Smithsonian Conservation Biology Institute’s eMammal platform , for example, asks users to identify animals for conservation projects around the country. Currently, eMammal is being used by the Woodland Park Zoo ’s Seattle Urban Carnivore Project, which studies how coyotes, foxes, raccoons, bobcats and other animals coexist with people, and the Washington Wolverine Project, an effort to monitor wolverines in the face of climate change. Identify urban wildlife for the Chicago Wildlife Watch , or contribute to wilderness projects documenting North American biodiversity with The Wilds' Wildlife Watch in Ohio , Cedar Creek: Eyes on the Wild in Minnesota , Michigan ZoomIN , Western Montana Wildlife and Snapshot Wisconsin .

"Spend your time at home virtually exploring the Minnesota backwoods,” writes the lead researcher of the Cedar Creek: Eyes on the Wild project. “Help us understand deer dynamics, possum populations, bear behavior, and keep your eyes peeled for elusive wolves!"

A baby elephant stands between the legs of an adult elephant.

If being cooped up at home has you daydreaming about traveling, Snapshot Safari has six active animal identification projects. Try eyeing lions, leopards, cheetahs, wild dogs, elephants, giraffes, baobab trees and over 400 bird species from camera trap photos taken in South African nature reserves, including De Hoop Nature Reserve and Madikwe Game Reserve .

With South Sudan DiversityCam , researchers are using camera traps to study biodiversity in the dense tropical forests of southwestern South Sudan. Part of the Serenegeti Lion Project, Snapshot Serengeti needs the help of citizen scientists to classify millions of camera trap images of species traveling with the wildebeest migration.

Classify all kinds of monkeys with Chimp&See . Count, identify and track giraffes in northern Kenya . Watering holes host all kinds of wildlife, but that makes the locales hotspots for parasite transmission; Parasite Safari needs volunteers to help figure out which animals come in contact with each other and during what time of year.

Mount Taranaki in New Zealand is a volcanic peak rich in native vegetation, but native wildlife, like the North Island brown kiwi, whio/blue duck and seabirds, are now rare—driven out by introduced predators like wild goats, weasels, stoats, possums and rats. Estimate predator species compared to native wildlife with Taranaki Mounga by spotting species on camera trap images.

The Zoological Society of London’s (ZSL) Instant Wild app has a dozen projects showcasing live images and videos of wildlife around the world. Look for bears, wolves and lynx in Croatia ; wildcats in Costa Rica’s Osa Peninsula ; otters in Hampshire, England ; and both black and white rhinos in the Lewa-Borana landscape in Kenya.

An image featuring marine life from Invader ID.

Under the Sea

Researchers use a variety of technologies to learn about marine life and inform conservation efforts. Take, for example, Beluga Bits , a research project focused on determining the sex, age and pod size of beluga whales visiting the Churchill River in northern Manitoba, Canada. With a bit of training, volunteers can learn how to differentiate between a calf, a subadult (grey) or an adult (white)—and even identify individuals using scars or unique pigmentation—in underwater videos and images. Beluga Bits uses a “ beluga boat ,” which travels around the Churchill River estuary with a camera underneath it, to capture the footage and collect GPS data about the whales’ locations.

Many of these online projects are visual, but Manatee Chat needs citizen scientists who can train their ear to decipher manatee vocalizations. Researchers are hoping to learn what calls the marine mammals make and when—with enough practice you might even be able to recognize the distinct calls of individual animals.

Several groups are using drone footage to monitor seal populations. Seals spend most of their time in the water, but come ashore to breed. One group, Seal Watch , is analyzing time-lapse photography and drone images of seals in the British territory of South Georgia in the South Atlantic. A team in Antarctica captured images of Weddell seals every ten minutes while the seals were on land in spring to have their pups. The Weddell Seal Count project aims to find out what threats—like fishing and climate change—the seals face by monitoring changes in their population size. Likewise, the Año Nuevo Island - Animal Count asks volunteers to count elephant seals, sea lions, cormorants and more species on a remote research island off the coast of California.

With Floating Forests , you’ll sift through 40 years of satellite images of the ocean surface identifying kelp forests, which are foundational for marine ecosystems, providing shelter for shrimp, fish and sea urchins. A project based in southwest England, Seagrass Explorer , is investigating the decline of seagrass beds. Researchers are using baited cameras to spot commercial fish in these habitats as well as looking out for algae to study the health of these threatened ecosystems. Search for large sponges, starfish and cold-water corals on the deep seafloor in Sweden’s first marine park with the Koster seafloor observatory project.

The Smithsonian Environmental Research Center needs your help spotting invasive species with Invader ID . Train your eye to spot groups of organisms, known as fouling communities, that live under docks and ship hulls, in an effort to clean up marine ecosystems.

If art history is more your speed, two Dutch art museums need volunteers to start “ fishing in the past ” by analyzing a collection of paintings dating from 1500 to 1700. Each painting features at least one fish, and an interdisciplinary research team of biologists and art historians wants you to identify the species of fish to make a clearer picture of the “role of ichthyology in the past.”

Pictured is a Zerene eurydice specimen, or California dogface butterfly, caught in 1951.

Interesting Insects

Notes from Nature is a digitization effort to make the vast resources in museums’ archives of plants and insects more accessible. Similarly, page through the University of California Berkeley’s butterfly collection on CalBug to help researchers classify these beautiful critters. The University of Michigan Museum of Zoology has already digitized about 300,000 records, but their collection exceeds 4 million bugs. You can hop in now and transcribe their grasshopper archives from the last century . Parasitic arthropods, like mosquitos and ticks, are known disease vectors; to better locate these critters, the Terrestrial Parasite Tracker project is working with 22 collections and institutions to digitize over 1.2 million specimens—and they’re 95 percent done . If you can tolerate mosquito buzzing for a prolonged period of time, the HumBug project needs volunteers to train its algorithm and develop real-time mosquito detection using acoustic monitoring devices. It’s for the greater good!

Pelicans coming in for landing on PELIcam.

For the Birders

Birdwatching is one of the most common forms of citizen science . Seeing birds in the wilderness is certainly awe-inspiring, but you can birdwatch from your backyard or while walking down the sidewalk in big cities, too. With Cornell University’s eBird app , you can contribute to bird science at any time, anywhere. (Just be sure to remain a safe distance from wildlife—and other humans, while we social distance ). If you have safe access to outdoor space—a backyard, perhaps—Cornell also has a NestWatch program for people to report observations of bird nests. Smithsonian’s Migratory Bird Center has a similar Neighborhood Nest Watch program as well.

Birdwatching is easy enough to do from any window, if you’re sheltering at home, but in case you lack a clear view, consider these online-only projects. Nest Quest currently has a robin database that needs volunteer transcribers to digitize their nest record cards.

You can also pitch in on a variety of efforts to categorize wildlife camera images of burrowing owls , pelicans , penguins (new data coming soon!), and sea birds . Watch nest cam footage of the northern bald ibis or greylag geese on NestCams to help researchers learn about breeding behavior.

Or record the coloration of gorgeous feathers across bird species for researchers at London’s Natural History Museum with Project Plumage .

A pressed Wister's coralroot below a letter and sketch of the flower found in Oct. 1937

Pretty Plants

If you’re out on a walk wondering what kind of plants are around you, consider downloading Leafsnap , an electronic field guide app developed by Columbia University, the University of Maryland and the Smithsonian Institution. The app has several functions. First, it can be used to identify plants with its visual recognition software. Secondly, scientists can learn about the “ the ebb and flow of flora ” from geotagged images taken by app users.

What is older than the dinosaurs, survived three mass extinctions and still has a living relative today? Ginko trees! Researchers at Smithsonian’s National Museum of Natural History are studying ginko trees and fossils to understand millions of years of plant evolution and climate change with the Fossil Atmospheres project . Using Zooniverse, volunteers will be trained to identify and count stomata, which are holes on a leaf’s surface where carbon dioxide passes through. By counting these holes, or quantifying the stomatal index, scientists can learn how the plants adapted to changing levels of carbon dioxide. These results will inform a field experiment conducted on living trees in which a scientist is adjusting the level of carbon dioxide for different groups.

Help digitize and categorize millions of botanical specimens from natural history museums, research institutions and herbaria across the country with the Notes from Nature Project . Did you know North America is home to a variety of beautiful orchid species? Lend botanists a handby typing handwritten labels on pressed specimens or recording their geographic and historic origins for the New York Botanical Garden’s archives. Likewise, the Southeastern U.S. Biodiversity project needs assistance labeling pressed poppies, sedums, valerians, violets and more. Groups in California , Arkansas , Florida , Texas and Oklahoma all invite citizen scientists to partake in similar tasks.

A group of Harvard computers and astronomers.

Historic Women in Astronomy

Become a transcriber for Project PHaEDRA and help researchers at the Harvard-Smithsonian Center for Astrophysics preserve the work of Harvard’s women “computers” who revolutionized astronomy in the 20th century. These women contributed more than 130 years of work documenting the night sky, cataloging stars, interpreting stellar spectra, counting galaxies, and measuring distances in space, according to the project description .

More than 2,500 notebooks need transcription on Project PhaEDRA - Star Notes . You could start with Annie Jump Cannon , for example. In 1901, Cannon designed a stellar classification system that astronomers still use today. Cecilia Payne discovered that stars are made primarily of hydrogen and helium and can be categorized by temperature. Two notebooks from Henrietta Swan Leavitt are currently in need of transcription. Leavitt, who was deaf, discovered the link between period and luminosity in Cepheid variables, or pulsating stars, which “led directly to the discovery that the Universe is expanding,” according to her bio on Star Notes .

Volunteers are also needed to transcribe some of these women computers’ notebooks that contain references to photographic glass plates . These plates were used to study space from the 1880s to the 1990s. For example, in 1890, Williamina Flemming discovered the Horsehead Nebula on one of these plates . With Star Notes, you can help bridge the gap between “modern scientific literature and 100 years of astronomical observations,” according to the project description . Star Notes also features the work of Cannon, Leavitt and Dorrit Hoffleit , who authored the fifth edition of the Bright Star Catalog, which features 9,110 of the brightest stars in the sky.

A microscopic image of white blood cells

Microscopic Musings

Electron microscopes have super-high resolution and magnification powers—and now, many can process images automatically, allowing teams to collect an immense amount of data. Francis Crick Institute’s Etch A Cell - Powerhouse Hunt project trains volunteers to spot and trace each cell’s mitochondria, a process called manual segmentation. Manual segmentation is a major bottleneck to completing biological research because using computer systems to complete the work is still fraught with errors and, without enough volunteers, doing this work takes a really long time.

For the Monkey Health Explorer project, researchers studying the social behavior of rhesus monkeys on the tiny island Cayo Santiago off the southeastern coast of Puerto Rico need volunteers to analyze the monkeys’ blood samples. Doing so will help the team understand which monkeys are sick and which are healthy, and how the animals’ health influences behavioral changes.

Using the Zooniverse’s app on a phone or tablet, you can become a “ Science Scribbler ” and assist researchers studying how Huntington disease may change a cell’s organelles. The team at the United Kingdom's national synchrotron , which is essentially a giant microscope that harnesses the power of electrons, has taken highly detailed X-ray images of the cells of Huntington’s patients and needs help identifying organelles, in an effort to see how the disease changes their structure.

Oxford University’s Comprehensive Resistance Prediction for Tuberculosis: an International Consortium—or CRyPTIC Project , for short, is seeking the aid of citizen scientists to study over 20,000 TB infection samples from around the world. CRyPTIC’s citizen science platform is called Bash the Bug . On the platform, volunteers will be trained to evaluate the effectiveness of antibiotics on a given sample. Each evaluation will be checked by a scientist for accuracy and then used to train a computer program, which may one day make this process much faster and less labor intensive.

12 images from the platform showcasing different galactic formations

Out of This World

If you’re interested in contributing to astronomy research from the comfort and safety of your sidewalk or backyard, check out Globe at Night . The project monitors light pollution by asking users to try spotting constellations in the night sky at designated times of the year . (For example, Northern Hemisphere dwellers should look for the Bootes and Hercules constellations from June 13 through June 22 and record the visibility in Globe at Night’s app or desktop report page .)

For the amateur astrophysicists out there, the opportunities to contribute to science are vast. NASA's Wide-field Infrared Survey Explorer (WISE) mission is asking for volunteers to search for new objects at the edges of our solar system with the Backyard Worlds: Planet 9 project .

Galaxy Zoo on Zooniverse and its mobile app has operated online citizen science projects for the past decade. According to the project description, there are roughly one hundred billion galaxies in the observable universe. Surprisingly, identifying different types of galaxies by their shape is rather easy. “If you're quick, you may even be the first person to see the galaxies you're asked to classify,” the team writes.

With Radio Galaxy Zoo: LOFAR , volunteers can help identify supermassive blackholes and star-forming galaxies. Galaxy Zoo: Clump Scout asks users to look for young, “clumpy” looking galaxies, which help astronomers understand galaxy evolution.

If current events on Earth have you looking to Mars, perhaps you’d be interested in checking out Planet Four and Planet Four: Terrains —both of which task users with searching and categorizing landscape formations on Mars’ southern hemisphere. You’ll scroll through images of the Martian surface looking for terrain types informally called “spiders,” “baby spiders,” “channel networks” and “swiss cheese.”

Gravitational waves are telltale ripples in spacetime, but they are notoriously difficult to measure. With Gravity Spy , citizen scientists sift through data from Laser Interferometer Gravitational-Wave Observatory, or LIGO , detectors. When lasers beamed down 2.5-mile-long “arms” at these facilities in Livingston, Louisiana and Hanford, Washington are interrupted, a gravitational wave is detected. But the detectors are sensitive to “glitches” that, in models, look similar to the astrophysical signals scientists are looking for. Gravity Spy teaches citizen scientists how to identify fakes so researchers can get a better view of the real deal. This work will, in turn, train computer algorithms to do the same.

Similarly, the project Supernova Hunters needs volunteers to clear out the “bogus detections of supernovae,” allowing researchers to track the progression of actual supernovae. In Hubble Space Telescope images, you can search for asteroid tails with Hubble Asteroid Hunter . And with Planet Hunters TESS , which teaches users to identify planetary formations, you just “might be the first person to discover a planet around a nearby star in the Milky Way,” according to the project description.

Help astronomers refine prediction models for solar storms, which kick up dust that impacts spacecraft orbiting the sun, with Solar Stormwatch II. Thanks to the first iteration of the project, astronomers were able to publish seven papers with their findings.

With Mapping Historic Skies , identify constellations on gorgeous celestial maps of the sky covering a span of 600 years from the Adler Planetarium collection in Chicago. Similarly, help fill in the gaps of historic astronomy with Astronomy Rewind , a project that aims to “make a holistic map of images of the sky.”

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Rachael Lallensack | READ MORE

Rachael Lallensack is the former assistant web editor for science and innovation at Smithsonian .

110+ Best Science Investigatory Project Topics: Dive into Science

Post author By admin
September 29, 2023

Explore a wide range of science investigatory project topics to engage in innovative research and make significant contributions to the field.

Get ready to dive headfirst into the thrilling world of Science Investigatory Project (SIP) topics! Imagine a journey where you become a scientist, an explorer of the unknown, and a solver of real-world puzzles.

This is what SIP offers – a chance to channel your inner curiosity and creativity into the fascinating realm of science.

From unlocking the secrets of life in biology to experimenting with the wonders of chemistry, from unraveling the mysteries of the universe in physics to addressing vital environmental issues – SIP topics are your keys to a world of exploration.

In this adventure, we’ll guide you through an array of captivating SIP ideas. These topics aren’t just assignments; they’re opportunities to uncover new knowledge, make a difference, and have a blast along the way.

So, gear up for an exciting journey, as we unveil the science topics that could spark your imagination and fuel your passion for discovery. Let’s begin!

Table of Contents

What is a Science Investigatory Project?

Imagine stepping into the shoes of a scientist – asking questions, running experiments, and discovering the secrets of the world around you. That’s exactly what a Science Investigatory Project, or SIP, is all about.

At its core, a SIP is a thrilling journey of scientific exploration. It’s a project that challenges you to pick a problem, make educated guesses (that’s your hypothesis), roll up your sleeves for experiments, collect data, and connect the dots to find answers.

Here’s how it works

Step 1: the mystery.

You start with a question – something that piques your curiosity. It could be anything from “Why do plants grow towards the light?” to “What makes the sky blue?” Your SIP is your ticket to unravel these mysteries.

Step 2: The Guess

Next comes your hypothesis – a fancy word for your best guess at the answer. It’s like saying, “I think this is what’s happening, and here’s why.”

Step 3: The Detective Work

Now, it’s time for the fun part – experimenting! You set up tests, tweak variables, and observe closely. Whether you’re mixing chemicals, observing insects, or measuring temperature, you’re the scientist in charge.

Step 4: Clues and Evidence

As you experiment, you collect clues in the form of data – numbers, measurements, observations. It’s like gathering puzzle pieces.

Step 5: The “Aha!” Moment

When you analyze your data, patterns start to emerge. You connect those puzzle pieces until you have a clear picture. Does your data support your guess (hypothesis), or do you need to rethink things?

Step 6: Sharing Your Discovery

Scientists don’t keep their findings to themselves. They share them with the world. Your SIP report or presentation is your chance to do just that. You explain what you did, what you found, and why it matters.

So, why do SIPs matter? They’re not just school projects. They’re your chance to think like a scientist, ask questions like a detective, and discover like an explorer. They’re where you become the expert, the innovator, the problem-solver.

From the mysteries of biology to the wonders of chemistry and the enigmas of physics, SIPs open doors to countless adventures in science. So, what question will you ask? What mystery will you solve? Your SIP journey awaits – embrace it, and you might just uncover something amazing.

Choosing the Right SIP Topic

Choosing the right Science Investigatory Project (SIP) topic is like selecting a path for your scientific adventure. It’s a critical decision, and here’s how to make it count:

Follow Your Passion

Your SIP topic should resonate with your interests. Pick something you’re genuinely curious about. When you’re passionate, the research becomes a thrilling quest, not a chore.

Real-World Relevance

Consider how your topic connects to the real world. Can your research shed light on a problem or offer solutions? SIPs are a chance to make a tangible impact.

Feasibility

Be realistic about the resources at your disposal. Choose a topic that you can explore within your time frame and access to equipment. Avoid overly ambitious projects that might overwhelm you.

Originality Matters

While it’s okay to explore well-trodden paths, strive for a unique angle. What can you add to the existing knowledge? Innovative ideas often lead to exciting discoveries.

Mentor Guidance

If you’re feeling uncertain, don’t hesitate to seek guidance from teachers or mentors. They can help you refine your ideas and offer valuable insights.

Remember, your SIP topic is the compass for your scientific journey. It should excite your curiosity, have real-world significance, and be feasible within your means. So, choose wisely, and let your scientific adventure begin!

Environmental Science

Analyzing the Effects of Urban Green Spaces on Air Quality
Investigating the Impact of Microplastics on Marine Life
Studying the Relationship Between Temperature and Ocean Acidification
Exploring the Effects of Deforestation on Local Ecosystems
Investigating the Factors Contributing to Soil Erosion in a Watershed
Analyzing the Impact of Noise Pollution on Wildlife Behavior
Studying the Relationship Between Temperature and Ice Melt Rates
Investigating the Effect of Urbanization on Local Bird Populations
Exploring the Impact of Air Pollution on Human Health in Urban Areas
Analyzing the Biodiversity of Insects in Urban vs. Rural Environments

Social Sciences

Analyzing the Impact of Social Media Use on Teenagers’ Mental Health
Investigating the Factors Influencing Online Shopping Behavior
Studying the Effects of Different Teaching Methods on Student Engagement
Analyzing the Impact of Parenting Styles on Children’s Academic Performance
Investigating the Relationship Between Music Preferences and Stress Levels
Exploring the Factors Contributing to Workplace Stress and Burnout
Studying the Effects of Socioeconomic Status on Access to Healthcare
Analyzing the Factors Influencing Voting Behavior in Local Elections
Investigating the Impact of Advertising on Consumer Purchasing Decisions
Exploring the Effects of Cultural Diversity on Team Performance in the Workplace

These SIP topics offer a wide range of research opportunities for students in biology, chemistry, physics, and environmental science. Students can choose topics that align with their interests and contribute to their understanding of the natural world.

Conducting Your SIP

So, you’ve picked an exciting Science Investigatory Project (SIP) topic and you’re all set to dive into the world of scientific exploration. But how do you go from a brilliant idea to conducting your own experiments? Let’s break it down into easy steps:

Step 1: Dive into Research

Before you start mixing chemicals or setting up experiments, it’s time for some detective work. Dive into research! What’s already out there about your topic? Books, articles, websites – explore them all. This background study gives you the superpower of knowledge before you even start.

Step 2: Hypothesize Away!

With all that newfound wisdom, formulate a hypothesis. Don your scientist’s hat and make an educated guess about what you think will happen during your experiments. It’s like making a bet with science itself!

Step 3: Time for Action

Now comes the fun part. Design your experiments. What materials do you need? What steps should you follow? Imagine you’re a mad scientist with a plan! Then, go ahead and conduct your experiments. Be precise, follow your plan, and observe like Sherlock.

Step 4: Collect That Data

During your experiments, be a data ninja. Record everything. Measurements, observations, weird surprises – they’re all clues! The more detailed your notes, the better.

Step 5: Decode Your Findings

Time to put on your detective’s hat again. What do your data and observations tell you? Look for patterns, anomalies, and secrets your experiments are revealing. This is where the real magic happens.

Step 6: The Big Reveal

Now, reveal the grand finale – your conclusions! Did your experiments support your hypothesis, or did they throw you a curveball? Discuss what your findings mean and why they matter. It’s like solving the mystery in a thrilling novel.

Step 7: Your SIP Report

Finally, put it all together in your SIP report. Think of it as your scientific storybook. Share your journey with the world. Start with the introduction, add in your methodology, sprinkle your results and discussions, and wrap it up with a conclusion that leaves your readers in awe.

Remember, this isn’t just about science; it’s about your adventure in discovering the unknown. Have fun, be curious, and let your inner scientist shine!

What is a good topic for an investigatory project?

A good topic for an investigatory project depends on your interests and the resources available to you. Here are some broad categories and potential topics to consider:

The Impact of Different Fertilizers on Plant Growth
Investigating the Effect of Air Pollution on Local Plant Life
Analyzing the Quality of Drinking Water from Various Sources
Studying the Growth of Microorganisms in Different Water Types
Creating Biodegradable Plastics from Natural Materials
Investigating the Chemical Composition of Household Cleaning Products
Analyzing the Effects of Different Cooking Oils on Food Nutrition
Testing the pH Levels of Various Household Substances
Studying the Behavior of Ants in Response to Different Food Types
Investigating the Impact of Light Exposure on Seed Germination
Analyzing the Effects of Different Music Types on Plant Growth
Designing and Testing a Simple Wind Turbine
Investigating the Relationship Between Temperature and Electrical Conductivity in Materials
Studying the Behavior of Different Types of Pendulums
Analyzing the Factors Affecting the Efficiency of Solar Panels
Analyzing the Impact of Social Media Use on Teenagers’ Sleep Patterns
Investigating the Factors Influencing Consumer Behavior in Online Shopping
Studying the Effects of Different Teaching Methods on Student Learning
Analyzing the Relationship Between Music Preferences and Mood

Computer Science and Technology

Developing a Smartphone App for Personal Productivity
Investigating the Factors Affecting Wi-Fi Signal Strength in Different Locations
Analyzing the Impact of Screen Time on Productivity and Well-being
Studying the Efficiency of Different Coding Languages in Software Development

When choosing a topic, consider your interests, available resources, and the potential impact of your project. It’s essential to select a topic that excites you and allows you to conduct meaningful research.

Additionally, check with your school or instructor for any specific guidelines or requirements for your investigatory project.

What should I do in a science investigatory project?

So, you’re all set to embark on a thrilling adventure known as a Science Investigatory Project (SIP). But where do you start, and what should you be doing? Here’s your guide to diving headfirst into the world of scientific exploration:

Choose a Topic That Sparks Your Interest

Begin by picking a topic that genuinely excites you. It should be something you’re curious about, like “Why do plants grow towards the light?” or “How does pollution affect local water quality?”

Unleash Your Inner Detective with Background Research

Dive into the world of books, articles, and online resources. Learn everything you can about your chosen topic. It’s like gathering clues to solve a mystery.

Craft Your Hypothesis – Your Educated Guess

Formulate a hypothesis. Think of it as your scientific prediction. What do you think will happen when you investigate your question? Make an educated guess and write it down.

Plan Your Scientific Experiments

Now, let’s get hands-on! Plan your experiments. What materials will you need? What steps will you follow? Imagine you’re a mad scientist with a plan to uncover the secrets of the universe!

Collect Data – Be a Data Ninja

During your experiments, be a data ninja! Record everything meticulously. Measurements, observations, quirky surprises – they’re all part of your data treasure trove.

Decode Your Findings – Be a Scientific Sleuth

Time to decode the clues! Analyze your data like a scientific sleuth. Look for patterns, unexpected twists, and, most importantly, what your experiments are trying to tell you.

Share Your Scientific Tale: The SIP Report

It’s time to tell your scientific tale. Create your SIP report – your storybook of science. Start with the introduction, add in your experiments, sprinkle with results, and wrap it up with a conclusion that leaves your readers in awe.

Share Your Discoveries with the World

If you can, share your SIP findings. Present your work to your classmates, at science fairs, or anywhere you can. Share your excitement about science with the world!

Remember, SIP isn’t just about following steps; it’s about your adventure in discovering the mysteries of the universe. So, stay curious, have fun, and let your inner scientist shine!

What are the best topics for investigatory project chemistry class 12?

Hey there, future chemists! It’s time to explore the fascinating world of Chemistry with some class 12 investigatory project ideas that will not only challenge your scientific skills but also pique your curiosity:

Water Wizardry

Dive into the world of H2O and analyze water samples from different sources – tap water, well water, and that bottled stuff. Let’s uncover the secrets of your hydration!

Biodiesel Bonanza

Ever wondered if you could turn cooking oil into fuel? Investigate the synthesis of biodiesel from everyday vegetable oils, and let’s see if we can power the future with French fries!

Vitamin C Showdown

Put on your lab coat and determine the vitamin C content in various fruit juices. Is your morning OJ really packed with vitamin C? Let’s find out!

Race Against Time – The Iodine Clock

Get ready to race time itself! Study the kinetics of the iodine clock reaction and see how factors like concentration and temperature affect this chemistry marvel.

Shampoo Chemistry

Let’s turn your shower into a science lab! Test the pH levels of different shampoos – are they gentle or are they acidic? Your hair deserves the best!

Heavy Metal Detectives

Investigate soils for heavy metals. Are there hidden dangers lurking beneath our feet? Let’s discover the truth and protect the environment.

Metal Makeover

Ever dreamed of turning ordinary objects into shimmering treasures? Electroplate items like coins or jewelry with various metals and unveil their magical transformations!

The Dye Chronicles

Explore the vibrant world of food dyes used in your favorite treats. What’s really behind those bright colors? Let’s uncover the secrets of our rainbow foods!

Solubility Sleuths

Unravel the mysteries of solubility! How does temperature impact the solubility of common salts? Let’s dissolve some science questions.

Perfume Alchemy

Dive into the world of fragrances! Analyze the chemical components in different perfumes and discover the magic behind your favorite scents.

Remember, the best project is one that not only challenges you but also stirs your scientific curiosity. Choose a topic that excites you, and let your chemistry adventure begin!

What are good science experiment ideas?

Light Dance with Plants: Imagine plants swaying to the rhythm of light! Explore how different types of light affect plant growth – from disco-like colorful LEDs to the soothing glow of natural sunlight.
Kitchen Warriors: Don your lab coat and investigate everyday kitchen items like garlic, honey, and vinegar as germ-fighting superheroes. Who knew your kitchen could be a battleground for bacteria?
Animal Extravaganza: Dive into the world of critters! Observe and report on the curious behaviors of your chosen animal buddies. It’s like being a wildlife detective in your own backyard.
Fizz, Pop, and Bang: Get ready for some explosive fun! Experiment with classic chemical reactions that sizzle and explode, like the volcanic eruption of baking soda and vinegar.
Titration Showdown: Become a master of precision with acid-base titration. Unlock the secrets of unknown solutions, like a chemistry detective solving mysteries.
Crystal Kingdom: Step into the magical world of crystals. Grow your own dazzling crystals and reveal how factors like temperature and concentration influence their growth.
Swingin’ Pendulums: Swing into action with pendulums! Investigate how factors like pendulum length and mass affect the way they sway. It’s like dancing with physics.
Machine Marvels: Enter the world of simple machines. Uncover the mechanical magic behind levers, pulleys, and inclined planes as you lift heavy objects with ease.
Electromagnet Madness: Get electrified! Build your own electromagnet and experiment with coils and currents to see how they shape magnetic fields.
Water Adventure: Dive into water quality testing. Collect samples from different sources and become a water detective, searching for clues about pollution and health.
Air Expedition: Take to the skies with your own air quality station. Discover what’s floating in the air around you, from tiny particles to invisible gases.
Climate Crusaders: Join the battle against climate change. Investigate how shifts in temperature and precipitation patterns impact your local ecosystem.

Earth Science

Rock Detectives: Grab your magnifying glass and investigate rocks and fossils in your area. It’s like traveling through time to uncover Earth’s ancient secrets.
Weather Watchers: Become a meteorologist with your own weather station. Predict the weather and marvel at how the atmosphere behaves around you.
Volcano Eruption Spectacle: Get ready for volcanic eruptions without the lava! Create a stunning volcano model and watch it come to life with your own eruptions.
Starry Nights: Explore the cosmos with a telescope and discover celestial wonders, from the rings of Saturn to the galaxies far, far away.
Moon Phases Odyssey: Join the lunar calendar club! Track the Moon’s different faces over weeks and become an expert on lunar phases.
Solar Eclipse Spectacle: Witness the sky’s ultimate blockbuster – a solar eclipse! Safely observe this cosmic dance with eclipse glasses and telescopes.

These science experiments are not just about learning; they’re about unleashing your inner scientist and having a blast along the way! So, pick your favorite, put on your lab coat, and let the science adventures begin!

In wrapping up our exploration of Science Investigatory Project (SIP) topics, it’s clear that we’ve uncovered a treasure trove of possibilities. These topics are more than just words on a page; they’re gateways to adventure, inquiry, and understanding.

We’ve ventured into diverse realms of science, from the secrets of plant life to the hidden chemistry of everyday items. We’ve danced with the laws of physics, delved into environmental enigmas, and probed the complexities of human behavior. These topics aren’t just ideas; they’re invitations to explore the wonders of our world.

So, as you consider your own SIP journey, let your curiosity be your compass. Pick a topic that truly intrigues you, one that keeps you awake at night with questions. Embrace the process – the experiments, the surprises, and the “Aha!” moments.

Remember, it’s not just about reaching a conclusion; it’s about the exhilarating path you take to get there. SIPs are your chance to be a scientist, an explorer, and a storyteller all at once. So, go ahead, choose your topic, embark on your adventure, and share your discoveries with the world. Science is waiting for your curiosity to light the way!

Frequently Asked Questions

1. how long does it typically take to complete a science investigatory project, the duration of an sip varies, but it generally spans a few months to a year, depending on the complexity of the topic and available resources., 2. can i work on an sip alone, or is it better to collaborate with classmates, you can choose to work on an sip individually or in a group. both approaches have their advantages, so it depends on your preference and the project’s requirements., 3. are there any age restrictions for participating in sips, sips are typically undertaken by students in middle school and high school, but there are no strict age restrictions. anyone with a passion for scientific inquiry can engage in an sip., 4. how can i find a mentor or advisor for my sip, you can seek guidance from science teachers, professors, or professionals in your chosen field. they can provide valuable insights and support throughout your sip journey., 5. where can i showcase my sip findings, you can present your sip findings at science fairs, school exhibitions, or even submit them to relevant scientific journals or conferences for broader recognition..

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Biology Research Topics

Are you in need of captivating and achievable research topics within the field of biology? Your quest for the best biology topics ends right here as this article furnishes you with 100 distinctive and original concepts for biology research, laying the groundwork for your research endeavor.

Table of Contents

Our proficient researchers have thoughtfully curated these biology research themes, considering the substantial body of literature accessible and the prevailing gaps in research.

Should none of these topics elicit enthusiasm, our specialists are equally capable of proposing tailor-made research ideas in biology, finely tuned to cater to your requirements.

Thus, without further delay, we present our compilation of biology research topics crafted to accommodate students and researchers.

Research Topics in Marine Biology

Impact of climate change on coral reef ecosystems.
Biodiversity and adaptation of deep-sea organisms.
Effects of pollution on marine life and ecosystems.
Role of marine protected areas in conserving biodiversity.
Microplastics in marine environments: sources, impacts, and mitigation.

Biological Anthropology Research Topics

Evolutionary implications of early human migration patterns.
Genetic and environmental factors influencing human height variation.
Cultural evolution and its impact on human societies.
Paleoanthropological insights into human dietary adaptations.
Genetic diversity and population history of indigenous communities.

Biological Psychology Research Topics

Neurobiological basis of addiction and its treatment.
Impact of stress on brain structure and function.
Genetic and environmental influences on mental health disorders.
Neural mechanisms underlying emotions and emotional regulation.
Role of the gut-brain axis in psychological well-being.

Cancer Biology Research Topics

Targeted therapies in precision cancer medicine.
Tumor microenvironment and its influence on cancer progression.
Epigenetic modifications in cancer development and therapy.
Immune checkpoint inhibitors and their role in cancer immunotherapy.
Early detection and diagnosis strategies for various types of cancer.

Cell Biology Research Topics

Mechanisms of autophagy and its implications in health and disease.
Intracellular transport and organelle dynamics in cell function.
Role of cell signaling pathways in cellular response to external stimuli.
Cell cycle regulation and its relevance to cancer development.
Cellular mechanisms of apoptosis and programmed cell death.

Developmental Biology Research Topics

Genetic and molecular basis of limb development in vertebrates.
Evolution of embryonic development and its impact on morphological diversity.
Stem cell therapy and regenerative medicine approaches.
Mechanisms of organogenesis and tissue regeneration in animals.
Role of non-coding RNAs in developmental processes.

Human Biology Research Topics

Genetic factors influencing susceptibility to infectious diseases.
Human microbiome and its impact on health and disease.
Genetic basis of rare and common human diseases.
Genetic and environmental factors contributing to aging.
Impact of lifestyle and diet on human health and longevity.

Molecular Biology Research Topics

CRISPR-Cas gene editing technology and its applications.
Non-coding RNAs as regulators of gene expression.
Role of epigenetics in gene regulation and disease.
Mechanisms of DNA repair and genome stability.
Molecular basis of cellular metabolism and energy production.

Research Topics in Biology for Undergraduates

41. Investigating the effects of pollutants on local plant species.
Microbial diversity and ecosystem functioning in a specific habitat.
Understanding the genetics of antibiotic resistance in bacteria.
Impact of urbanization on bird populations and biodiversity.
Investigating the role of pheromones in insect communication.

Synthetic Biology Research Topics

Design and construction of synthetic biological circuits.
Synthetic biology applications in biofuel production.
Ethical considerations in synthetic biology research and applications.
Synthetic biology approaches to engineering novel enzymes.
Creating synthetic organisms with modified functions and capabilities.

Animal Biology Research Topics

Evolution of mating behaviors in animal species.
Genetic basis of color variation in butterfly wings.
Impact of habitat fragmentation on amphibian populations.
Behavior and communication in social insect colonies.
Adaptations of marine mammals to aquatic environments.

Best Biology Research Topics

Unraveling the mysteries of circadian rhythms in organisms.
Investigating the ecological significance of cryptic coloration.
Evolution of venomous animals and their prey.
The role of endosymbiosis in the evolution of eukaryotic cells.
Exploring the potential of extremophiles in biotechnology.

Biological Psychology Research Paper Topics

Neurobiological mechanisms underlying memory formation.
Impact of sleep disorders on cognitive function and mental health.
Biological basis of personality traits and behavior.
Neural correlates of emotions and emotional disorders.
Role of neuroplasticity in brain recovery after injury.

Biological Science Research Topics:

Role of gut microbiota in immune system development.
Molecular mechanisms of gene regulation during development.
Impact of climate change on insect population dynamics.
Genetic basis of neurodegenerative diseases like Alzheimer’s.
Evolutionary relationships among vertebrate species based on DNA analysis.

Biology Education Research Topics

Effectiveness of inquiry-based learning in biology classrooms.
Assessing the impact of virtual labs on student understanding of biology concepts.
Gender disparities in science education and strategies for closing the gap.
Role of outdoor education in enhancing students’ ecological awareness.
Integrating technology in biology education: challenges and opportunities.

Biology-Related Research Topics

The intersection of ecology and economics in conservation planning.
Molecular basis of antibiotic resistance in pathogenic bacteria.
Implications of genetic modification of crops for food security.
Evolutionary perspectives on cooperation and altruism in animal behavior.
Environmental impacts of genetically modified organisms (GMOs).

Biology Research Proposal Topics

Investigating the role of microRNAs in cancer progression.
Exploring the effects of pollution on aquatic biodiversity.
Developing a gene therapy approach for a genetic disorder.
Assessing the potential of natural compounds as anti-inflammatory agents.
Studying the molecular basis of cellular senescence and aging.

Biology Research Topic Ideas

Role of pheromones in insect mate selection and behavior.
Investigating the molecular basis of neurodevelopmental disorders.
Impact of climate change on plant-pollinator interactions.
Genetic diversity and conservation of endangered species.
Evolutionary patterns in mimicry and camouflage in organisms.

Biology Research Topics for Undergraduates

Effects of different fertilizers on plant growth and soil health.
Investigating the biodiversity of a local freshwater ecosystem.
Evolutionary origins of a specific animal adaptation.
Genetic diversity and disease susceptibility in human populations.
Role of specific genes in regulating the immune response.

Cell and Molecular Biology Research Topics

Molecular mechanisms of DNA replication and repair.
Role of microRNAs in post-transcriptional gene regulation.
Investigating the cell cycle and its control mechanisms.
Molecular basis of mitochondrial diseases and therapies.
Cellular responses to oxidative stress and their implications in ageing.

These topics cover a broad range of subjects within biology, offering plenty of options for research projects. Remember that you can further refine these topics based on your specific interests and research goals.

Frequently Asked Questions

What are some good research topics in biology?

A good research topic in biology will address a specific problem in any of the several areas of biology, such as marine biology, molecular biology, cellular biology, animal biology, or cancer biology.

A topic that enables you to investigate a problem in any area of biology will help you make a meaningful contribution.

How to choose a research topic in biology?

Choosing a research topic in biology is simple.

Follow the steps:

Generate potential topics.
Consider your areas of knowledge and personal passions.
Conduct a thorough review of existing literature.
Evaluate the practicality and viability.
Narrow down and refine your research query.
Remain receptive to new ideas and suggestions.

Who Are We?

For several years, Research Prospect has been offering students around the globe complimentary research topic suggestions. We aim to assist students in choosing a research topic that is both suitable and feasible for their project, leading to the attainment of their desired grades. Explore how our services, including research proposal writing , dissertation outline creation, and comprehensive thesis writing , can contribute to your college’s success.

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50 Best Environmental Science Research Topics

May 31, 2023

Environmental science is a varied discipline that encompasses a variety of subjects, including ecology, atmospheric science, and geology among others. Professionals within this field can pursue many occupations from lab technicians and agricultural engineers to park rangers and environmental lawyers. However, what unites these careers is their focus on how the natural world and the human world interact and impact the surrounding environment. There is also one other significant commonality among environmental science careers: virtually all of them either engage in or rely on research on environmental science topics to ensure their work is accurate and up to date.

In this post, we’ll outline some of the best environmental science research topics to help you explore disciplines within environmental science and kickstart your own research. If you are considering majoring in environmental science or perhaps just need help brainstorming for a research paper, this post will give you a broad sense of timely environmental science research topics.

What makes a research topic good?

Before we dive into specific environmental science research topics, let’s first cover the basics: what qualities make for a viable research topic. Research is the process of collecting information to make discoveries and reach new conclusions. We often think of research as something that occurs in academic or scientific settings. However, everyone engages in informal research in everyday life, from reading product reviews to investigating statistics for admitted students at prospective colleges . While we all conduct research in our day-to-day lives, formal academic research is necessary to advance discoveries and scholarly discourses. Therefore, in this setting, good research hinges on a topic in which there are unanswered questions or ongoing debates. In other words, meaningful research focuses on topics where you can say something new.

However, identifying an interesting research topic is only the first step in the research process. Research topics tend to be broad in scope. Strong research is dependent on developing a specific research question, meaning the query your project will seek to answer. While there are no comprehensive guidelines for research questions, most scholars agree that research questions should be:

1) Specific

Research questions need to clearly identify and define the focus of your research. Without sufficient detail, your research will likely be too broad or imprecise in focus to yield meaningful insights. For example, you might initially be interested in addressing this question: How should governments address the effects of climate change? While that is a worthwhile question to investigate, it’s not clear enough to facilitate meaningful research. What level of government is this question referring to? And what specific effects of global warming will this research focus on? You would need to revise this question to provide a clearer focus for your research. A revised version of this question might look like this: How can state government officials in Florida best mitigate the effects of sea-level rise?

2) Narrow

Our interest in a given topic often starts quite broad. However, it is difficult to produce meaningful, thorough research on a broad topic. For that reason, it is important that research questions be narrow in scope, focusing on a specific issue or subtopic. For example, one of the more timely environmental science topics is renewable energy. A student who is just learning about this topic might wish to write a research paper on the following question: Which form of renewable energy is best? However, that would be a difficult question to answer in one paper given the various ways in which an energy source could be “best.” Instead, this student might narrow their focus, assessing renewable energy sources through a more specific lens: Which form of renewable energy is best for job creation?

3) Complex

As we previously discussed, good research leads to new discoveries. These lines of inquiry typically require a complicated and open-ended research question. A question that can be answered with just a “yes” or “no” (or a quick Google search) is likely indicative of a topic in which additional research is unnecessary (i.e. there is no ongoing debate) or a topic that is not well defined. For example, the following question would likely be too simple for academic research: What is environmental justice? You can look up a definition of environmental justice online. You would need to ask a more complex question to sustain a meaningful research project. Instead, you might conduct research on the following query: Which environmental issue(s) disproportionately impact impoverished communities in the Pacific Northwest? This question is narrower and more specific, while also requiring more complex thought and analysis to answer.

4) Debatable

Again, strong research provides new answers and information, which means that they must be situated within topics or discourses where there is ongoing debate. If a research question can only lead to one natural conclusion, that may indicate that it has already been sufficiently addressed in prior research or that the question is leading. For example, Are invasive species bad? is not a very debatable question (the answer is in the term “invasive species”!). A paper that focused on this question would essentially define and provide examples of invasive species (i.e. information that is already well documented). Instead, a researcher might investigate the effects of a specific invasive species. For example: How have Burmese pythons impacted ecosystems in the Everglades, and what mitigation strategies are most effective to reduce Burmese python populations?

Therefore, research topics, including environmental science topics, are those about which there are ample questions yet to be definitively answered. Taking time to develop a thoughtful research question will provide the necessary focus and structure to facilitate meaningful research.

10 Great Environmental Science Research Topics (With Explanations!)

Now that we have a basic understanding of what qualities can make or break a research topic, we can return to our focus on environmental science topics. Although “great” research topics are somewhat subjective, we believe the following topics provide excellent foundations for research due to ongoing debates in these areas, as well as the urgency of the challenges they seek to address.

1) Climate Change Adaptation and Mitigation

Although climate change is now a well-known concept , there is still much to be learned about how humans can best mitigate and adapt to its effects. Mitigation involves reducing the severity of climate change. However, there are a variety of ways mitigation can occur, from switching to electric vehicles to enforcing carbon taxes on corporations that produce the highest carbon emission levels. Many of these environmental science topics intersect with issues of public policy and economics, making them very nuanced and versatile.

In comparison, climate change adaptation considers how humans can adjust to life in an evolving climate where issues such as food insecurity, floods, droughts, and other severe weather events are more frequent. Research on climate change adaptation is particularly fascinating due to the various levels at which it occurs, from federal down to local governments, to help communities anticipate and adjust to the effects of climate change.

Both climate change mitigation and adaptation represent excellent environmental science research topics as there is still much to be learned to address this issue and its varied effects.

2) Renewable Energy

Renewable energy is another fairly mainstream topic in which there is much to learn and research. Although scientists have identified many forms of sustainable energy, such as wind, solar, and hydroelectric power, questions remain about how to best implement these energy sources. How can politicians, world leaders, and communities advance renewable energy through public policy? What impact will renewable energy have on local and national economies? And how can we minimize the environmental impact of renewable energy technologies? While we have identified alternatives to fossil fuels, questions persist about the best way to utilize these technologies, making renewable energy one of the best environmental science topics to research.

3) Conservation

Conservation is a broad topic within environmental science, focusing on issues such as preserving environments and protecting endangered species. However, conservation efforts are more challenging than ever in the face of a growing world population and climate change. In fact, some scientists theorize that we are currently in the middle of a sixth mass extinction event. While these issues might seem dire, we need scientists to conduct research on conservation efforts for specific species, as well as entire ecosystems, to help combat these challenges and preserve the planet’s biodiversity.

4) Deforestation

The Save the Rainforest movement of the 1980s and 90s introduced many people to the issue of deforestation. Today, the problems associated with deforestation, such as reduced biodiversity and soil erosion, are fairly common knowledge. However, these challenges persist due, in part, to construction and agricultural development projects. While we know the effects of deforestation, it is more difficult to identify and implement feasible solutions. This is particularly true in developing countries where deforestation is often more prevalent due to political, environmental, and economic factors. Environmental science research can help reduce deforestation by identifying strategies to help countries sustainably manage their natural resources.

Environmental Science Topics (Continued)

5) urban ecology.

When we think of “the environment,” our brains often conjure up images of majestic mountain ranges and lush green forests. However, less “natural” environments also warrant study: this is where urban ecology comes in. Urban ecology is the study of how organisms interact with one another and their environment in urban settings. Through urban ecology, researchers can address topics such as how greenspaces in cities can reduce air pollution, or how local governments can adopt more effective waste management practices. As one of the newer environmental science topics, urban ecology represents an exciting research area that can help humans live more sustainably.

6) Environmental Justice

While environmental issues such as climate change impact people on a global scale, not all communities are affected equally. For example, wealthy nations tend to contribute more to greenhouse-gas emissions. However, less developed nations are disproportionately bearing the brunt of climate change . Studies within the field of environmental justice seek to understand how issues such as race, national origin, and income impact the degree to which people experience hardships from environmental issues. Researchers in this field not only document these inequities, but also identify ways in which environmental justice can be achieved. As a result, their work helps communities have access to clean, safe environments in which they can thrive.

7) Water Management

Water is, of course, necessary for life, which is why water management is so important within environmental science research topics. Water management research ensures that water resources are appropriately identified and maintained to meet demand. However, climate change has heightened the need for water management research, due to the occurrence of more severe droughts and wildfires. As a result, water management research is necessary to ensure water is clean and accessible.

8) Pollution and Bioremediation

Another impact of the increase in human population and development is heightened air, water, and soil pollution. Environmental scientists study pollutants to understand how they work and where they originate. Through their research, they can identify solutions to help address pollution, such as bioremediation, which is the use of microorganisms to consume and break down pollutants. Collectively, research on pollution and bioremediation helps us restore environments so they are sufficient for human, animal, and plant life.

9) Disease Ecology

While environmental science topics impact the health of humans, we don’t always think of this discipline as intersecting with medicine. But, believe it or not, they can sometimes overlap! Disease ecology examines how ecological processes and interactions impact disease evolution. For example, malaria is a disease that is highly dependent on ecological variables, such as temperature and precipitation. Both of these factors can help or hinder the breeding of mosquitoes and, therefore, the transmission of malaria. The risk of infectious diseases is likely to increase due to climate change , making disease ecology an important research topic.

10) Ecosystems Ecology

If nothing else, the aforementioned topics and their related debates showcase just how interconnected the world is. None of us live in a vacuum: our environment affects us just as we affect it. That makes ecosystems ecology, which examines how ecosystems operate and interact, an evergreen research topic within environmental science.

40 More Environmental Science Research Topics

Still haven’t stumbled upon the right environmental science research topic? The following ideas may help spark some inspiration:

The effects of agricultural land use on biodiversity and ecosystems.
The impact of invasive plant species on ecosystems.
How wildfires and droughts shape ecosystems.
The role of fire ecology in addressing wildfire threats.
The impact of coral bleaching on biodiversity.
Ways to minimize the environmental impact of clean energies.
The effects of climate change on ocean currents and migration patterns of marine species.

Environmental Justice and Public Policy

Opportunities to equalize the benefits of greenspaces for impoverished and marginalized communities.
The impact of natural disasters on human migration patterns.
The role of national parks and nature reserves in human health.
How to address inequalities in the impact of air pollution.
How to prevent and address the looming climate refugee crisis.
Environmentally and economically sustainable alternatives to deforestation in less developed countries.
Effects of environmental policies and regulations on impoverished communities.
The role of pollutants in endocrine disruption.
The effects of climate change on the emergence of infectious diseases.

AP Environmental Science Research Topics (Continued)

Soil science.

Effects of climate change on soil erosion.
The role of land management in maintaining soil health.
Agricultural effects of salinization in coastal areas.
The effects of climate change on agriculture.

Urban Ecology

How road construction impacts biodiversity and ecosystems.
The effects of urbanization and city planning on water cycles.
Impacts of noise pollution on human health.
The role of city planning in reducing light pollution.

Pollution and Bioremediation

The role of bioremediation in removing “forever” chemicals from the environment.
Impacts of air pollution on maternal health.
How to improve plastic recycling processes.
Individual measures to reduce consumption and creation of microplastics.
Environmental impacts of and alternatives to fracking.

Environmental Law and Ethics

Ethical implications of human intervention in the preservation of endangered species.
The efficacy and impact of single-use plastic laws.
Effects of religious and cultural values in environmental beliefs.
The ethics of climate change policy for future generations.
Ethical implications of international environmental regulations for less developed countries.
The impact and efficacy of corporate carbon taxes.
Ethical and environmental implications of fast fashion.
The ethics and efficacy of green consumerism.
Impacts of the hospitality and travel industries on pollution and emissions.
The ethical implications of greenwashing in marketing.
Effects of “Right to Repair” laws on pollution.

Final Thoughts: Environmental Science Research Topics

Environmental science is a diverse and very important area of study that impacts all aspects of life on Earth. If you’ve found a topic you’d like to pursue, it’s time to hit the books (or online databases)! Begin reading broadly on your chosen topic so you can define a specific research question. If you’re unsure where to begin, contact a research librarian who can connect you with pertinent resources. As you familiarize yourself with the discourse surrounding your topic, consider what questions spring to mind. Those questions may represent gaps around which you can craft a research question.

Interested in conducting academic research? Check out the following resources for information on research opportunities and programs:

Research Opportunities for High School Students
Colleges with the Best Undergraduate Research Programs
College Success
High School Success

Emily Smith

Emily earned a BA in English and Communication Studies from UNC Chapel Hill and an MA in English from Wake Forest University. While at UNC and Wake Forest, she served as a tutor and graduate assistant in each school’s writing center, where she worked with undergraduate and graduate students from all academic backgrounds. She also worked as an editorial intern for the Wake Forest University Press as well as a visiting lecturer in the Department of English at WFU, and currently works as a writing center director in western North Carolina.

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151+ Research Proposal Topics [Updated 2024]

Crafting a compelling research proposal begins with selecting the right topic—a task that demands careful consideration and a thoughtful approach. In this blog post, we’ll delve into the intricacies of choosing research proposal topics, exploring the importance of a well-defined focus and guiding you through the steps to create a robust proposal.

How to Select Research Proposal Topics?

Table of Contents

Selecting research proposal topics is a crucial step in the research process. Here’s a step-by-step guide to help you choose a compelling and impactful research topic:

Self-reflection:
Identify your personal interests, passions, and curiosities.
Consider topics that resonate with you on a deep level.
Academic and Professional Interests:
Reflect on subjects that captivated you during coursework or work experience.
Assess the relevance of these interests to your academic or career goals.
Current Issues and Trends:
Stay informed about contemporary challenges and emerging trends in your field.
Choose a topic that addresses current issues for greater relevance and impact.
Literature Review:
Conduct a thorough review of existing research in your chosen field.
Identify gaps and limitations in the current body of knowledge.
Formulate Clear Research Questions:
Develop clear and concise research questions based on the gaps identified.
Ensure your questions are feasible and align with the chosen topic.
Choose a Methodology:
Select an appropriate research methodology (experimental, qualitative, quantitative, or mixed methods).
Justify your choice and discuss data collection techniques.
Significance and Contribution:
Articulate the relevance of your proposed research.
Highlight the potential contributions your work can make to the field.
Research Design and Plan:
Outline the specifics of your research design.
Create a realistic timeline, allocating resources and budget effectively.
Address Challenges and Limitations:
Acknowledge potential challenges and limitations.
Discuss strategies to mitigate challenges and be transparent about constraints.
Conclusion:
Summarize key points of your research proposal.
Emphasize the importance of the chosen topic and encourage feedback.

By following these steps, you can ensure that your research proposal topic is not only engaging but also has the potential to make a meaningful contribution to your field of study.

151+ Research Proposal Topics: Category Wise

Science and technology.

The Impact of Artificial Intelligence on Job Market Trends
Advancements in Renewable Energy Technologies
Exploring the Potential of CRISPR Technology in Genetic Engineering
Cybersecurity Measures for Critical Infrastructure Protection
The Role of Blockchain in Supply Chain Management
Augmented Reality in Education: Enhancing Learning Experiences
Quantum Computing: Current Status and Future Implications
Sustainable Technologies for Environmental Conservation
Smart Cities: Integrating Technology for Urban Development
Robotics in Healthcare: Applications and Ethical Considerations

Health and Medicine

Precision Medicine: Customizing Healthcare Based on Genetic Factors
The Impact of Telemedicine on Patient Care
Mental Health Stigma: Strategies for Reduction and Education
Vaccination Hesitancy: Understanding Causes and Developing Interventions
Aging Population and Healthcare Challenges
Bioinformatics and Personalized Cancer Therapies
The Role of Artificial Intelligence in Diagnosing Medical Conditions
Emerging Infectious Diseases: Preparedness and Response Strategies
Nutrition Education in Schools: Promoting Healthy Lifestyles
Healthcare Disparities: Addressing and Eliminating Gaps in Access

Social Sciences

Social Media and its Influence on Political Discourse
Impact of Social Isolation on Mental Health in Elderly Populations
Cultural Competence in Education: Training and Implementation
The Role of Gender Stereotypes in Career Choices
Cyberbullying: Prevention and Intervention Strategies
The Effects of Immigration Policies on Migrant Communities
Restorative Justice in Criminal Justice Systems
Examining the Relationship Between Social Media Use and Self-Esteem
Intersectionality in Feminist Movements: Challenges and Opportunities
Community Policing: Building Trust between Law Enforcement and Communities
E-Learning Platforms: Effectiveness and Challenges
Inquiry-Based Learning: Enhancing Critical Thinking Skills
Inclusive Education Practices: Meeting the Needs of Diverse Learners
The Impact of Standardized Testing on Educational Equity
School Safety Measures: Strategies for Prevention and Response
Teacher Professional Development: Models and Effectiveness
Online Education Accessibility for Students with Disabilities
Gamification in Education: Engaging Students in Learning
Bilingual Education: Benefits and Challenges
STEM Education Initiatives: Encouraging Interest in Science and Technology

Business and Economics

Sustainable Business Practices: Balancing Profit and Environmental Impact
Corporate Social Responsibility in Multinational Corporations
Impact of Artificial Intelligence on Business Operations
Economic Consequences of Global Health Crises
Digital Marketing Trends and Consumer Behavior
Financial Literacy Education: Bridging the Gap
Small Business Sustainability: Challenges and Strategies
The Gig Economy: Implications for Workers and Employers
Supply Chain Resilience in the Face of Global Disruptions
Innovation and Entrepreneurship in Emerging Markets

Environment and Sustainability

Climate Change Adaptation Strategies for Coastal Communities
Biodiversity Conservation in Urban Environments
Circular Economy Models: Reducing Waste and Promoting Sustainability
Water Scarcity: Technological Solutions and Policy Measures
Impact of Plastic Pollution on Marine Ecosystems
Sustainable Agriculture Practices: Balancing Production and Conservation
Environmental Education in Schools: Fostering Eco-Consciousness
Green Building Technologies: Enhancing Energy Efficiency
Ecotourism: Balancing Conservation and Economic Development
The Role of International Agreements in Addressing Environmental Issues

Psychology and Behavior

The Influence of Social Media on Body Image and Self-Esteem
Cognitive Behavioral Therapy for Anxiety and Depression
Impact of Childhood Trauma on Adult Mental Health
Positive Psychology Interventions: Enhancing Well-Being
Sleep Hygiene and its Impact on Mental Health
The Psychology of Procrastination: Causes and Interventions
Emotional Intelligence in the Workplace: Benefits and Training
The Impact of Parenting Styles on Child Development
Cross-Cultural Psychology: Understanding Cultural Influences on Behavior
The Role of Music in Emotional Regulation and Stress Reduction

Political Science and International Relations

The Rise of Populism: Causes and Consequences
Cyber Warfare and International Security
Human Rights Violations in Conflict Zones: Challenges and Solutions
The Role of International Organizations in Global Governance
Political Polarization: Understanding Divisive Trends
Nuclear Proliferation and Arms Control Agreements
Comparative Analysis of Electoral Systems
Immigration Policies and Social Cohesion
Global Health Diplomacy: Collaborative Approaches to Health Challenges
The Impact of Disinformation on Democratic Processes

History and Cultural Studies

Reevaluating Historical Narratives: Perspectives and Interpretations
Cultural Impact of Globalization: Trends and Reactions
Indigenous Rights and Representation in Historical Context
History of Scientific Discoveries and their Societal Impact
Archaeological Excavations: Uncovering Lost Civilizations
Cultural Appropriation: Examining Controversies and Contexts
The Role of Women in Historical Movements
Preservation of Cultural Heritage: Challenges and Innovations
Historical Trauma and its Contemporary Repercussions
Impact of Colonialism on Contemporary Societies

Communication and Media Studies

Influence of Social Media on Political Participation
Media Representation of Marginalized Groups
Fake News and Misinformation: Identifying and Combating Trends
The Evolution of Print Media in the Digital Age
Media Literacy Education: Navigating Information in the Digital Era
Celebrity Culture and its Impact on Society
The Role of Public Relations in Shaping Organizational Image
Cross-Cultural Communication in Global Business
Podcasting as an Emerging Medium of Communication
Advertising and Consumer Behavior: Analyzing Persuasion Techniques

Philosophy and Ethics

Ethical Considerations in Artificial Intelligence Research
Bioethics in Medical Decision-Making
Existentialism and its Relevance in Contemporary Society
Animal Rights and Ethical Treatment in Scientific Research
Environmental Ethics: Balancing Human Needs and Ecological Sustainability
The Ethics of Genetic Engineering and Cloning
Virtue Ethics in Professional Decision-Making
Technology and Privacy: Ethical Dilemmas in the Digital Age
Ethical Implications of Artificial Intelligence in Warfare
Utilitarianism and its Application in Ethical Decision-Making

Education Policy and Administration

School Voucher Programs: Impact on Educational Equity
Teacher Evaluation Systems: Effectiveness and Fairness
Inclusive Leadership in Educational Institutions
Early Childhood Education: Policy and Implementation
Standardized Testing: Implications for Educational Policy
Education Funding Models: Challenges and Solutions
School Choice and its Impact on Student Achievement
Educational Technology Integration in Classroom Settings
Community Engagement in School Decision-Making
The Role of Educational Leaders in Fostering Inclusive Schools

Economics and Development Studies

Microfinance and Poverty Alleviation Strategies
Impact of Global Trade Policies on Developing Economies
Economic Empowerment of Women in Developing Countries
Sustainable Development Goals: Progress and Challenges
Rural-Urban Migration: Economic and Social Impacts
Financial Inclusion: Strategies for Bridging the Gap
Foreign Aid Effectiveness: Assessing Outcomes
Technology Transfer and Innovation in Developing Nations
Income Inequality: Causes and Policy Solutions
The Role of Microenterprise in Local Economic Development

Criminal Justice and Law

Restorative Justice: Implementation and Impact on Recidivism
Police Body Cameras: Efficacy and Ethical Considerations
Cybercrime Laws and Challenges in the Digital Age
Juvenile Justice Reform: Strategies for Rehabilitation
Bail Reform: Addressing Inequities in Pretrial Detention
Criminal Profiling: Validity and Ethical Concerns
Drug Policy Reform: Exploring Alternatives to Criminalization
The Impact of Hate Crime Legislation on Social Cohesion
Eyewitness Testimony Reliability: Challenges and Improvements
International Criminal Court: Effectiveness and Challenges

Public Health and Epidemiology

Disease Surveillance Systems: Enhancing Early Detection
Health Inequalities: Social Determinants and Interventions
Maternal and Child Health Interventions in Developing Countries
Impact of Health Education on Preventive Behaviors
Access to Healthcare Services in Rural Areas
Lifestyle Interventions for Chronic Disease Prevention
Community-Based Participatory Research in Public Health
Mental Health Interventions in School Settings
The Role of Public Health in Pandemic Preparedness and Response

Computer Science

Explainable Artificial Intelligence: Bridging the Gap Between Performance and Interpretability
The Role of Quantum Computing in Revolutionizing Cryptography
Ethical Considerations in the Development of Autonomous Vehicles
Cybersecurity Challenges in the Internet of Things (IoT) Ecosystem
Human-Computer Interaction: Enhancing User Experience in Virtual Reality Environments

How to Compose a Research Proposal?

Composing a research proposal is a systematic process that involves careful planning, organization, and clear articulation of your research idea. Here’s a step-by-step guide on how to compose a research proposal:

Title:
Create a clear and concise title that reflects the essence of your research.
Introduction:
Provide background information on the research topic.
Clearly state the research problem or question.
Justify the importance and relevance of your research.
Summarize relevant existing literature.
Identify gaps, limitations, and areas for further exploration.
Establish a theoretical framework for your study.
Research Questions or Hypotheses:
Formulate clear and specific research questions or hypotheses.
Ensure they align with the research problem and are feasible.
Objectives or Aims:
Outline the specific goals of your research.
Clearly state what you aim to achieve with your study.
Methodology:
Describe the research design and justify your choice.
Detail the data collection methods and tools you plan to use.
Address ethical considerations related to your research.
Explain the importance of your research.
Clearly state the potential contributions your study can make.
Provide a detailed plan for executing your research.
Include a timeline, milestones, and the allocation of resources.
Potential Challenges and Limitations:
Acknowledge possible obstacles and limitations.
Discuss strategies to address challenges proactively.
Summarize the key points of your research proposal.
Reiterate the significance of your research.
Invite feedback and suggestions.
References:
Cite all the sources and literature used in your proposal.
Follow the appropriate citation style ( APA, MLA, Chicago , etc.).
Appendices (if necessary):
Include any supplementary materials such as surveys, questionnaires, or additional data.

Tips for Composing a Research Proposal

Clarity and Conciseness: Use clear and straightforward language. Avoid unnecessary jargon that may confuse readers.
Alignment: Ensure that each section of your proposal aligns with the overall research objective.
Feasibility: Confirm that your proposed research is feasible within the given time and resource constraints.
Review and Revise: Review your proposal for coherence, consistency, and clarity. Seek feedback from peers, mentors, or advisors and make revisions accordingly.
Adherence to Guidelines: Follow any specific guidelines or instructions provided by your institution or funding agency.
Engage the Reader: Capture the reader’s attention in the introduction and maintain engagement throughout.
Ethical Considerations: Clearly address any ethical concerns related to your research, ensuring compliance with ethical standards.

Selecting research proposal topics is a nuanced process that requires a blend of personal passion, academic rigor, and an understanding of the broader context.

By following this comprehensive guide, you can navigate the seas of research proposal development with confidence, ensuring that your chosen topic is not only compelling but also lays the foundation for meaningful and impactful research.

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Biology Research Projects for High School Students: 20 Ideas To Try This Summer

By János Perczel

Co-founder of Polygence, PhD from MIT

16 minute read

Biology and biomedical research are two of the most popular academic disciplines among high schoolers. If you’re someone who’s interested in those fields and you’re looking for research opportunities this summer, you’ve come to the right place! With the study of biology, not only can you gain a better understanding of the natural world, but your research can have practical applications in fields like medicine, agriculture, and environmental science. Whether you’re just starting out in your exploration of biology, have taken a biology class in school, or you’re looking to do some advanced research to submit to your state’s science fair , we have level-appropriate ideas for you!

With a variety of topics like cancer treatment, genetics, neurodegenerative diseases, and marine life, we’ve got you covered. Here is a curated list of 20 different research project ideas to get those creative juices flowing. If you’re hungry for more, head over to our comprehensive Project Ideas database here and browse over 2800 more ideas!

Research YOUR fave areas of Biology and Medicine

Polygence pairs you with an expert mentor in to create a passion project around biology and medicine. Together, you work to create a high quality research project that is uniquely your own. We also offer options to explore multiple topics, or to showcase your final product!

Human Body Project Ideas

Rate of cognitive decline in different elevations.

Oxygen partial pressure decreases with altitude, challenging blood oxygenation which may affect brain function. If you’ve ever felt some altitude sickness, then this is exactly what’s happening. This is because the atmospheric pressure decreases at higher elevations, leading to a decrease in the partial pressures of the gasses in the air, including oxygen. And of course, oxygen is needed for us to function. What is the effect on brain health/ cognition in sudden increased elevation: say, climbing Mount Everest? Does chronic exposure to high elevations increase the likelihood of dementia? In this project, a meta-analysis of published works examining the effects of altitude on cognition would be conducted.

Idea by mentor Alyssa

Building a Blood Vessel

Use online graphics to illustrate how a blood vessel forms. Blood vessels are structures that carry blood and are responsible for transporting nutrients and oxygen throughout the body. There are three main types of blood vessels: arteries, veins, and capillaries. For this project, complete a literature search to understand what is known about blood vessel growth. Then, utilize this information to generate a graphic with no words to demonstrate how the vasculature (network of blood vessels) forms. The goal of this project is to explain science without using text and therefore make it more available to a larger community.

Idea by mentor Natalie

Examining the bacterial profile of various households

As of late, bacterial microbiomes have been a huge and interesting topic in the field of bacteriology as they play an important role in human health. Bacterial microbiomes are communities of bacteria that live on or outside organisms. They’re found in various parts of the human body, and help us to digest food and regulate our immune system. In this project, you will seek to understand how skin microbiomes can differ between different individuals of different households. This project will require making different bacterial media that can be made at home selecting for various microorganisms. If you’re new to preparing bacterial media, check out this resource here!

Idea by mentor Hamilton

Regulation of Circadian Clocks

Sleep is known to be governed by two distinct processes: a circadian clock that aligns sleep and wakefulness to the solar day and the sleep homeostat that encodes for sleep debt as a compensatory mechanism against sleep loss. You’ve most likely heard about circadian rhythm and our body’s internal clock, and circadian regulation of sleep is a fundamental process that allows animals to anticipate sleepiness or wakefulness consistently every day. These mechanisms can be regulated in multiple ways: at the gene, protein, gene, and clock neuronal level. In this project, we will focus on 1) how to efficiently digest primary and review articles to compile and condense information, 2) investigate how circadian clocks are regulated at these different genetic levels, and 3) try to effectively summarize the information we've gathered. We can present this information in a variety of ways, and what the final product looks like is up to you.

Idea by mentor Oscar

The Biology of Aging

Aging is the number one risk factor for a variety of diseases including cancer, neurodegenerative disease, and loss of hearing/sight. We are only now beginning to truly understand the process of aging and have even started to uncover ways that we could stop, or potentially reverse, the effects of aging. What are the hallmarks/signs of aging? How do researchers study 'aging'? How does human lifespan and aging compare to the rest of the animal kingdom? Is it possible to stop or reverse the effects of aging? What advancements are being made related to this? We could explore these questions or brainstorm others you might have about the biology of aging.

Idea by mentor Emily

Animals, Plants, and Nature Project Ideas

How genetically engineered mosquitoes are reducing rates of vector-borne diseases such as zika.

Many countries are already releasing millions of genetically engineered mosquitoes into the wild every week. These mosquitoes have been modified to reduce their ability to transmit disease-causing pathogens like dengue fever, Zika, and malaria, and are sent into the wild to mate with disease-carrying mosquitoes. However, this is still controversial as some people are concerned about the unintended consequences on the environment. What could be the potential pros and cons for this? The project will mainly focus on doing meta analysis of articles and watching informative videos to understand how/why genetically engineered mosquitoes can be used to reduce rates of different diseases. Students will have the chance to use critical thinking and do in-depth research on genetic engineering techniques, how scientists determine breeding rates and number of insects released, and epidemiology of different bloodborne diseases.

Idea by mentor Vanessa

Efficacy of Marine Protected Areas

Marine protected areas (MPAs) are areas of ocean or coastal waters that are set aside for the conservation and sustainable use of marine resources. These areas are established by governments, NGOs, or other organizations, and they can take different forms, from fully protected "no-take" zones to areas with regulated fishing or other activities. Marine protected areas have the potential to guide sustainable resource management and protect biodiversity, but have a host of reasons for why they are not currently effective. Explore reasons for why MPAs may not be effective. Then develop a framework for mapping, modeling, and implementing an effective Marine Protected Area.

Bioinspiration: Do animals hold the answers?

Can the toxins produced by frogs help us fight antibiotic resistant bacteria strains? How can understanding how lizards and newts regrow their limbs help us improve wound treatment? Why do tilapia skins help with burns? Discover the role of animals in the development of modern medicine as well as its potential. Are there any ethical concerns with these developments and findings? If so, what are they and do they matter? Share your findings in a research proposal, article, or presentation.

Idea by mentor Cheyenne

How Climate Change Can Affect Future Distributions of Rare Species

Climate change, such as global warming and longer drought, can threaten the existence of some of the rarest plants on earth. It is important to understand how future suitable habitats will change for these rare species so that we can target our conservation efforts in specific areas. In this project, you will identify a rare species that you like (it can be animals, plants, or fungi!), and gather the data online on its current occurrences. Then you will learn how to perform species distribution modeling to map its current and future suitable habitat areas. To get you started on learning species distribution modeling, check out this Youtube resource here. The changes in the amount or location of future suitable habitats can significantly affect the destiny of a rare species. By doing this project, you will not only learn skills in data analyses but also become the best ambassador for this rare species that you love.

Idea by mentor Yingtong

A Reef’s Best Frenemies

Coral reefs are in global decline. A primary cause of this is "coral bleaching" which results in the white reefs we often see in the news. Coral bleaching is actually the breakdown in the partnership between the coral animal and tiny, symbiotic algae that live within its cells. Corals and algae have a variety of thermal tolerances which are likely decided by genetic and environmental factors. However, despite how important this relationship is, it's currently very poorly understood. This project would review existing literature on the symbiotic partnernship and try to identify factors that predict bleaching and thermal resilience.

Idea by mentor Carly

Dive in to BioMed NOW!

Register to get paired with one of our expert mentors and to get started on exploring your passions today! You have agency in setting up your schedule for this research. Dive in now!

Diseases and Treatments Project Ideas

The understanding of a new and upcoming treatment: immunotherapy.

Immunotherapies have been growing in the past few years as alternative treatments for many types of cancer. These treatments work by boosting the patient's immune system to fight the disease, however it is not always effective. There are many types of immunotherapies with various nuances, but they all work to attack specific cells that are causing the disease. For this project, pick one of a few types of immunotherapy and deeply understand the mechanism of action and what is the current effectiveness against the cancer it treats.

Idea by mentor Hannah

Exploring The Cancer Genome Atlas data

There has been an explosion of publicly available data for cancer. The Cancer Genome Atlas was a research program with the purpose of creating a comprehensive catalog of genomic and molecular information about different types of cancer, with the aim of improving our understanding of the disease and developing new treatments. The dataset has been used to identify new cancer subtypes, develop diagnostic tests, and discover potential targets for new cancer therapies. Explore the implications and impact of The Cancer Genome Atlas data, and why it’s become so important.

Idea by mentor Hersh

Systematic Review and Meta-Analysis of Physiological Benefits of Fasting-induced Autophagy

Autophagy, meaning "self-eating", is a cellular process where damaged or unwanted components are disposed. Autophagy has been linked to various diseased pathologies, including cancer and heart disease. Fasting or specific dietary lifestyles may induce levels of autophagy in the human body. In this project, we will perform and systematic review and meta-analysis of fasting or diet-induced autophagy and its benefits on the body. You will gain skills in 1) searching and reviewing primary literature, 2) computational skills for performing data analysis (R language), and 3) writing your scientific findings.

Idea by mentor Jose

The Amyloid Hypothesis: Sifting through the controversy

For many years, scientists have thought that amyloid beta was the protein responsible for a patient developing Alzheimer's Disease symptoms. This "Amyloid Hypothesis" is now being questioned in light of current clinical data. Recently, drugs have been developed that reduce amyloid beta in patients. Surprisingly, the drugs worked in reducing amyloid beta, but it did not result in the slowing of disease pathology. Does this mean that the amyloid hypothesis is incorrect? Is amyloid beta less important in the progression of disease then what we once thought? This research project aims to explore the issues with the amyloid hypothesis and to assess where we stand in our understanding of amyloid beta's contribution to Alzheimer’s.

Idea by mentor Patrick

How do vaccines work?

During the COVID pandemic, vaccines have been all over the news! But how do they actually work? What’s the science behind them? Through this project, you will explore how vaccines work and the history of science behind vaccine development. While the final product of the projectwill be up to you, the ultimate goal of this project is for you to be a true public health advocate for vaccines and to be able to communicate why vaccines are so important in a way that the general public can understand.

Idea by mentor Helen

Sleep Disruption Profiles in Various Mouse Models of Alzheimer’s

Alzheimer's disease (AD) has been studied for decades but we are no closer to understanding the mechanisms of the disease. Because of the vast number of researchers studying AD, there are numerous models used to study the disease. All these models have different sleep profiles, phenotypes, disease onsets, sex differences etc. Therefore, in this project we will compile a document based on extensive literature review about the various models there are. We will focus on sleep profiles in these animals with an emphasis on male and female differences. This information is valuable because it is important to know which model is best to use to answer your scientific questions and there is a lot of criticism (by other scientists) that can be brought on by the model chosen so you need to be able to justify your choice. This project will also introduce you to the world of AD research and some of the gaps in knowledge in the field.

Idea by mentor Shenee

Rethinking The Treatment Of Neurodegenerative Diseases

Neurodegenerative diseases affect millions of people worldwide. They are conditions that affect the nervous system, particularly the brain and spinal cord, and examples include Alzheimer’s and Parkinson’s. While billions of dollars have been spent trying to find treatments for the disease, very few drugs and therapies have had a meaningful impact on slowing down disease progression. This is often because by the time someone is diagnosed with a disease, it has progressed too far for a treatment to have a substantial effect. Some recent approaches to treatment have turned to looking for early indications of the disease (termed "biomarkers") that can occur before the onset of symptoms. By diagnosing disease and beginning treatment before symptoms arise, these treatments could have a more profound effect in slowing down the progression of disease. Students could review the recent progress being made on identifying biomarkers for neurodegenerative diseases, and either write a paper or even record a podcast on their findings!

Idea by mentor David

Genetics Project Ideas

Height and genetics: nature or nurture.

How much do your genes determine your height? How much do nutrition and environmental factors play a role? What gene variants are implicated in height differences and what is the role of epigenetics? Epigenetics is the study of heritable changes in gene expression or cellular phenotype that occur without changes to the underlying DNA sequence. These changes can be influenced by diet and lifestyle. We will access and analyze an open dataset on twins to estimate the correlation between monozygotic twins (who have the exact same DNA) and height. You will learn to use R to open a dataset, analyze data with statistical methods such the student’s t-test, and display your data as graphs and charts. Finally, you will learn how to make a research presentation on height and genetics, describe the research methods, and present the data in a compelling and thorough way.

Idea by mentor Adeoluwa

The World of Personalized Medicine

Similar to our fingerprints, our genetic code is also unique to each individual person. Our genetic code is what determines our hair color, height, eye color, skin tone...just about everything! For those that develop diseases such as cancer, their genetic code found inside the malignant cells that comprise a tumor may also be unique to them or to certain groups of people with similar mutations (the drivers of disease). So why is it that we treat each person the same way even though the genetic drivers of that disease may be disparate? The world of Personalized Medicine is new and exciting and looks to circumvent this problem. Personalized Medicine (also known as precision medicine) uses the genetic code of a patients disease to guide treatment options that prove to be highly efficacious. Together, lets write a review on a disease of your choice that could benefit from Personalized Medicine based on current literature and research.

Idea by mentor Somer

General Biology Project Ideas

Teach a biology concept two ways: to your fellow students and to the general public.

One of the best ways to learn is to teach. Choose a biological concept that interests you and prepare a lesson and or demo on it. The format should be a video recording of yourself teaching (a la Khan Academy or a Zoom class), but the other details are up to you. Consider incorporating a demonstration (e.g. how can you use items from your kitchen to illustrate properties of mixtures?) or animation (e.g. to illustrate molecular motion). Also consider how you will check that your students understand the concept(s) and/or skill(s) you have taught them. Prepare and record two versions of your lesson: one intended for your peers and one for the general public. How will the versions differ to reflect these different audiences? You will learn what it's like to teach, gain a much greater understanding of your chosen concept(s)/skill(s), and learn how to communicate science to different audiences.

Idea by mentor Alexa

Once you’ve picked a project idea, check out some of our resources to help you progress with your project! Whether you’re stuck on how to cite sources , how to come up with a great thesis statement , or how to showcase your work once it’s finished , we’ve created blog posts to help you out. If you’re interested in doing one of the biology research projects with the help of an amazing mentor at Polygence, apply now ! If you would like some help with coming up with your own idea, book a complimentary consultation call with our admissions team here ! For more biology and science research information, check out our comprehensive list of research opportunities for high school students .

Feeling Inspired?

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Research Topics & Ideas: CompSci & IT

50+ Computer Science Research Topic Ideas To Fast-Track Your Project

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. If you’ve landed on this post, chances are you’re looking for a computer science-related research topic , but aren’t sure where to start. Here, we’ll explore a variety of CompSci & IT-related research ideas and topic thought-starters, including algorithms, AI, networking, database systems, UX, information security and software engineering.

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 CompSci domain. This is the starting point, but 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. In it, we cover the process of writing a dissertation or thesis from start to end. Be sure to also sign up for our free webinar that explores how to find a high-quality research topic.

Overview: CompSci Research Topics

Algorithms & data structures
Artificial intelligence ( AI )
Computer networking
Database systems
Human-computer interaction
Information security (IS)
Software engineering
Examples of CompSci dissertation & theses

Topics/Ideas: Algorithms & Data Structures

An analysis of neural network algorithms’ accuracy for processing consumer purchase patterns
A systematic review of the impact of graph algorithms on data analysis and discovery in social media network analysis
An evaluation of machine learning algorithms used for recommender systems in streaming services
A review of approximation algorithm approaches for solving NP-hard problems
An analysis of parallel algorithms for high-performance computing of genomic data
The influence of data structures on optimal algorithm design and performance in Fintech
A Survey of algorithms applied in internet of things (IoT) systems in supply-chain management
A comparison of streaming algorithm performance for the detection of elephant flows
A systematic review and evaluation of machine learning algorithms used in facial pattern recognition
Exploring the performance of a decision tree-based approach for optimizing stock purchase decisions
Assessing the importance of complete and representative training datasets in Agricultural machine learning based decision making.
A Comparison of Deep learning algorithms performance for structured and unstructured datasets with “rare cases”
A systematic review of noise reduction best practices for machine learning algorithms in geoinformatics.
Exploring the feasibility of applying information theory to feature extraction in retail datasets.
Assessing the use case of neural network algorithms for image analysis in biodiversity assessment

Topics & Ideas: Artificial Intelligence (AI)

Applying deep learning algorithms for speech recognition in speech-impaired children
A review of the impact of artificial intelligence on decision-making processes in stock valuation
An evaluation of reinforcement learning algorithms used in the production of video games
An exploration of key developments in natural language processing and how they impacted the evolution of Chabots.
An analysis of the ethical and social implications of artificial intelligence-based automated marking
The influence of large-scale GIS datasets on artificial intelligence and machine learning developments
An examination of the use of artificial intelligence in orthopaedic surgery
The impact of explainable artificial intelligence (XAI) on transparency and trust in supply chain management
An evaluation of the role of artificial intelligence in financial forecasting and risk management in cryptocurrency
A meta-analysis of deep learning algorithm performance in predicting and cyber attacks in schools

Topics & Ideas: Networking

An analysis of the impact of 5G technology on internet penetration in rural Tanzania
Assessing the role of software-defined networking (SDN) in modern cloud-based computing
A critical analysis of network security and privacy concerns associated with Industry 4.0 investment in healthcare.
Exploring the influence of cloud computing on security risks in fintech.
An examination of the use of network function virtualization (NFV) in telecom networks in Southern America
Assessing the impact of edge computing on network architecture and design in IoT-based manufacturing
An evaluation of the challenges and opportunities in 6G wireless network adoption
The role of network congestion control algorithms in improving network performance on streaming platforms
An analysis of network coding-based approaches for data security
Assessing the impact of network topology on network performance and reliability in IoT-based workspaces

Free Webinar: How To Find A Dissertation Research Topic

Topics & Ideas: Database Systems

An analysis of big data management systems and technologies used in B2B marketing
The impact of NoSQL databases on data management and analysis in smart cities
An evaluation of the security and privacy concerns of cloud-based databases in financial organisations
Exploring the role of data warehousing and business intelligence in global consultancies
An analysis of the use of graph databases for data modelling and analysis in recommendation systems
The influence of the Internet of Things (IoT) on database design and management in the retail grocery industry
An examination of the challenges and opportunities of distributed databases in supply chain management
Assessing the impact of data compression algorithms on database performance and scalability in cloud computing
An evaluation of the use of in-memory databases for real-time data processing in patient monitoring
Comparing the effects of database tuning and optimization approaches in improving database performance and efficiency in omnichannel retailing

Topics & Ideas: Human-Computer Interaction

An analysis of the impact of mobile technology on human-computer interaction prevalence in adolescent men
An exploration of how artificial intelligence is changing human-computer interaction patterns in children
An evaluation of the usability and accessibility of web-based systems for CRM in the fast fashion retail sector
Assessing the influence of virtual and augmented reality on consumer purchasing patterns
An examination of the use of gesture-based interfaces in architecture
Exploring the impact of ease of use in wearable technology on geriatric user
Evaluating the ramifications of gamification in the Metaverse
A systematic review of user experience (UX) design advances associated with Augmented Reality
A comparison of natural language processing algorithms automation of customer response Comparing end-user perceptions of natural language processing algorithms for automated customer response
Analysing the impact of voice-based interfaces on purchase practices in the fast food industry

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Topics & Ideas: Information Security

A bibliometric review of current trends in cryptography for secure communication
An analysis of secure multi-party computation protocols and their applications in cloud-based computing
An investigation of the security of blockchain technology in patient health record tracking
A comparative study of symmetric and asymmetric encryption algorithms for instant text messaging
A systematic review of secure data storage solutions used for cloud computing in the fintech industry
An analysis of intrusion detection and prevention systems used in the healthcare sector
Assessing security best practices for IoT devices in political offices
An investigation into the role social media played in shifting regulations related to privacy and the protection of personal data
A comparative study of digital signature schemes adoption in property transfers
An assessment of the security of secure wireless communication systems used in tertiary institutions

Topics & Ideas: Software Engineering

A study of agile software development methodologies and their impact on project success in pharmacology
Investigating the impacts of software refactoring techniques and tools in blockchain-based developments
A study of the impact of DevOps practices on software development and delivery in the healthcare sector
An analysis of software architecture patterns and their impact on the maintainability and scalability of cloud-based offerings
A study of the impact of artificial intelligence and machine learning on software engineering practices in the education sector
An investigation of software testing techniques and methodologies for subscription-based offerings
A review of software security practices and techniques for protecting against phishing attacks from social media
An analysis of the impact of cloud computing on the rate of software development and deployment in the manufacturing sector
Exploring the impact of software development outsourcing on project success in multinational contexts
An investigation into the effect of poor software documentation on app success in the retail sector

CompSci & IT Dissertations/Theses

While the ideas we’ve presented above are a decent starting point for finding a CompSci-related 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 CompSci-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.

An array-based optimization framework for query processing and data analytics (Chen, 2021)
Dynamic Object Partitioning and replication for cooperative cache (Asad, 2021)
Embedding constructural documentation in unit tests (Nassif, 2019)
PLASA | Programming Language for Synchronous Agents (Kilaru, 2019)
Healthcare Data Authentication using Deep Neural Network (Sekar, 2020)
Virtual Reality System for Planetary Surface Visualization and Analysis (Quach, 2019)
Artificial neural networks to predict share prices on the Johannesburg stock exchange (Pyon, 2021)
Predicting household poverty with machine learning methods: the case of Malawi (Chinyama, 2022)
Investigating user experience and bias mitigation of the multi-modal retrieval of historical data (Singh, 2021)
Detection of HTTPS malware traffic without decryption (Nyathi, 2022)
Redefining privacy: case study of smart health applications (Al-Zyoud, 2019)
A state-based approach to context modeling and computing (Yue, 2019)
A Novel Cooperative Intrusion Detection System for Mobile Ad Hoc Networks (Solomon, 2019)
HRSB-Tree for Spatio-Temporal Aggregates over Moving Regions (Paduri, 2019)

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. This is an important thing to keep in mind as you develop your own research topic. That is to say, to create a top-notch research topic, you must be precise and target a specific context with specific variables of interest . In other words, you need to identify a clear, well-justified research gap.

Fast-Track Your Research Topic

If you’re still feeling a bit unsure about how to find a research topic for your Computer Science dissertation or research project, check out our Topic Kickstarter service.

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Research topics and ideas about data science and big data analytics

Investigating the impacts of software refactoring techniques and tools in blockchain-based developments.

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Science Bob

Experiments
Science Fair Ideas
Science Q&A
Research Help
Experiment Blog

Okay, this is the hardest part of the whole project…picking your topic. But here are some ideas to get you started. Even if you don’t like any, they may inspire you to come up with one of your own. Remember, check all project ideas with your teacher and parents, and don’t do any project that would hurt or scare people or animals. Good luck!

Does music affect on animal behavior?
Does the color of food or drinks affect whether or not we like them?
Where are the most germs in your school? ( CLICK for more info. )
Does music have an affect on plant growth?
Which kind of food do dogs (or any animal) prefer best?
Which paper towel brand is the strongest?
What is the best way to keep an ice cube from melting?
What level of salt works best to hatch brine shrimp?
Can the food we eat affect our heart rate?
How effective are child-proof containers and locks.
Can background noise levels affect how well we concentrate?
Does acid rain affect the growth of aquatic plants?
What is the best way to keep cut flowers fresh the longest?
Does the color of light used on plants affect how well they grow?
What plant fertilizer works best?
Does the color of a room affect human behavior?
Do athletic students have better lung capacity?
What brand of battery lasts the longest?
Does the type of potting soil used in planting affect how fast the plant grows?
What type of food allow mold to grow the fastest?
Does having worms in soil help plants grow faster?
Can plants grow in pots if they are sideways or upside down?
Does the color of hair affect how much static electricity it can carry? (test with balloons)
How much weight can the surface tension of water hold?
Can some people really read someone else’s thoughts?
Which soda decays fallen out teeth the most?
What light brightness makes plants grow the best?
Does the color of birdseed affect how much birds will eat it?
Do natural or chemical fertilizers work best?
Can mice learn? (you can pick any animal)
Can people tell artificial smells from real ones?
What brands of bubble gum produce the biggest bubbles?
Does age affect human reaction times?
What is the effect of salt on the boiling temperature of water?
Does shoe design really affect an athlete’s jumping height?
What type of grass seed grows the fastest?
Can animals see in the dark better than humans?

Didn’t see one you like? Don’t worry…look over them again and see if they give you an idea for your own project that will work for you. Remember, find something that interests you, and have fun with it.

To download and print this list of ideas CLICK HERE .

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Home » 500+ Computer Science Research Topics

500+ Computer Science Research Topics

Computer Science is a constantly evolving field that has transformed the world we live in today. With new technologies emerging every day, there are countless research opportunities in this field. Whether you are interested in artificial intelligence, machine learning, cybersecurity, data analytics, or computer networks, there are endless possibilities to explore. In this post, we will delve into some of the most interesting and important research topics in Computer Science. From the latest advancements in programming languages to the development of cutting-edge algorithms, we will explore the latest trends and innovations that are shaping the future of Computer Science. So, whether you are a student or a professional, read on to discover some of the most exciting research topics in this dynamic and rapidly expanding field.

Computer Science Research Topics

Computer Science Research Topics are as follows:

Using machine learning to detect and prevent cyber attacks
Developing algorithms for optimized resource allocation in cloud computing
Investigating the use of blockchain technology for secure and decentralized data storage
Developing intelligent chatbots for customer service
Investigating the effectiveness of deep learning for natural language processing
Developing algorithms for detecting and removing fake news from social media
Investigating the impact of social media on mental health
Developing algorithms for efficient image and video compression
Investigating the use of big data analytics for predictive maintenance in manufacturing
Developing algorithms for identifying and mitigating bias in machine learning models
Investigating the ethical implications of autonomous vehicles
Developing algorithms for detecting and preventing cyberbullying
Investigating the use of machine learning for personalized medicine
Developing algorithms for efficient and accurate speech recognition
Investigating the impact of social media on political polarization
Developing algorithms for sentiment analysis in social media data
Investigating the use of virtual reality in education
Developing algorithms for efficient data encryption and decryption
Investigating the impact of technology on workplace productivity
Developing algorithms for detecting and mitigating deepfakes
Investigating the use of artificial intelligence in financial trading
Developing algorithms for efficient database management
Investigating the effectiveness of online learning platforms
Developing algorithms for efficient and accurate facial recognition
Investigating the use of machine learning for predicting weather patterns
Developing algorithms for efficient and secure data transfer
Investigating the impact of technology on social skills and communication
Developing algorithms for efficient and accurate object recognition
Investigating the use of machine learning for fraud detection in finance
Developing algorithms for efficient and secure authentication systems
Investigating the impact of technology on privacy and surveillance
Developing algorithms for efficient and accurate handwriting recognition
Investigating the use of machine learning for predicting stock prices
Developing algorithms for efficient and secure biometric identification
Investigating the impact of technology on mental health and well-being
Developing algorithms for efficient and accurate language translation
Investigating the use of machine learning for personalized advertising
Developing algorithms for efficient and secure payment systems
Investigating the impact of technology on the job market and automation
Developing algorithms for efficient and accurate object tracking
Investigating the use of machine learning for predicting disease outbreaks
Developing algorithms for efficient and secure access control
Investigating the impact of technology on human behavior and decision making
Developing algorithms for efficient and accurate sound recognition
Investigating the use of machine learning for predicting customer behavior
Developing algorithms for efficient and secure data backup and recovery
Investigating the impact of technology on education and learning outcomes
Developing algorithms for efficient and accurate emotion recognition
Investigating the use of machine learning for improving healthcare outcomes
Developing algorithms for efficient and secure supply chain management
Investigating the impact of technology on cultural and societal norms
Developing algorithms for efficient and accurate gesture recognition
Investigating the use of machine learning for predicting consumer demand
Developing algorithms for efficient and secure cloud storage
Investigating the impact of technology on environmental sustainability
Developing algorithms for efficient and accurate voice recognition
Investigating the use of machine learning for improving transportation systems
Developing algorithms for efficient and secure mobile device management
Investigating the impact of technology on social inequality and access to resources
Machine learning for healthcare diagnosis and treatment
Machine Learning for Cybersecurity
Machine learning for personalized medicine
Cybersecurity threats and defense strategies
Big data analytics for business intelligence
Blockchain technology and its applications
Human-computer interaction in virtual reality environments
Artificial intelligence for autonomous vehicles
Natural language processing for chatbots
Cloud computing and its impact on the IT industry
Internet of Things (IoT) and smart homes
Robotics and automation in manufacturing
Augmented reality and its potential in education
Data mining techniques for customer relationship management
Computer vision for object recognition and tracking
Quantum computing and its applications in cryptography
Social media analytics and sentiment analysis
Recommender systems for personalized content delivery
Mobile computing and its impact on society
Bioinformatics and genomic data analysis
Deep learning for image and speech recognition
Digital signal processing and audio processing algorithms
Cloud storage and data security in the cloud
Wearable technology and its impact on healthcare
Computational linguistics for natural language understanding
Cognitive computing for decision support systems
Cyber-physical systems and their applications
Edge computing and its impact on IoT
Machine learning for fraud detection
Cryptography and its role in secure communication
Cybersecurity risks in the era of the Internet of Things
Natural language generation for automated report writing
3D printing and its impact on manufacturing
Virtual assistants and their applications in daily life
Cloud-based gaming and its impact on the gaming industry
Computer networks and their security issues
Cyber forensics and its role in criminal investigations
Machine learning for predictive maintenance in industrial settings
Augmented reality for cultural heritage preservation
Human-robot interaction and its applications
Data visualization and its impact on decision-making
Cybersecurity in financial systems and blockchain
Computer graphics and animation techniques
Biometrics and its role in secure authentication
Cloud-based e-learning platforms and their impact on education
Natural language processing for machine translation
Machine learning for predictive maintenance in healthcare
Cybersecurity and privacy issues in social media
Computer vision for medical image analysis
Natural language generation for content creation
Cybersecurity challenges in cloud computing
Human-robot collaboration in manufacturing
Data mining for predicting customer churn
Artificial intelligence for autonomous drones
Cybersecurity risks in the healthcare industry
Machine learning for speech synthesis
Edge computing for low-latency applications
Virtual reality for mental health therapy
Quantum computing and its applications in finance
Biomedical engineering and its applications
Cybersecurity in autonomous systems
Machine learning for predictive maintenance in transportation
Computer vision for object detection in autonomous driving
Augmented reality for industrial training and simulations
Cloud-based cybersecurity solutions for small businesses
Natural language processing for knowledge management
Machine learning for personalized advertising
Cybersecurity in the supply chain management
Cybersecurity risks in the energy sector
Computer vision for facial recognition
Natural language processing for social media analysis
Machine learning for sentiment analysis in customer reviews
Explainable Artificial Intelligence
Quantum Computing
Blockchain Technology
Human-Computer Interaction
Natural Language Processing
Cloud Computing
Robotics and Automation
Augmented Reality and Virtual Reality
Cyber-Physical Systems
Computational Neuroscience
Big Data Analytics
Computer Vision
Cryptography and Network Security
Internet of Things
Computer Graphics and Visualization
Artificial Intelligence for Game Design
Computational Biology
Social Network Analysis
Bioinformatics
Distributed Systems and Middleware
Information Retrieval and Data Mining
Computer Networks
Mobile Computing and Wireless Networks
Software Engineering
Database Systems
Parallel and Distributed Computing
Human-Robot Interaction
Intelligent Transportation Systems
High-Performance Computing
Cyber-Physical Security
Deep Learning
Sensor Networks
Multi-Agent Systems
Human-Centered Computing
Wearable Computing
Knowledge Representation and Reasoning
Adaptive Systems
Brain-Computer Interface
Health Informatics
Cognitive Computing
Cybersecurity and Privacy
Internet Security
Cybercrime and Digital Forensics
Cloud Security
Cryptocurrencies and Digital Payments
Machine Learning for Natural Language Generation
Cognitive Robotics
Neural Networks
Semantic Web
Image Processing
Cyber Threat Intelligence
Secure Mobile Computing
Cybersecurity Education and Training
Privacy Preserving Techniques
Cyber-Physical Systems Security
Virtualization and Containerization
Machine Learning for Computer Vision
Network Function Virtualization
Cybersecurity Risk Management
Information Security Governance
Intrusion Detection and Prevention
Biometric Authentication
Machine Learning for Predictive Maintenance
Security in Cloud-based Environments
Cybersecurity for Industrial Control Systems
Smart Grid Security
Software Defined Networking
Quantum Cryptography
Security in the Internet of Things
Natural language processing for sentiment analysis
Blockchain technology for secure data sharing
Developing efficient algorithms for big data analysis
Cybersecurity for internet of things (IoT) devices
Human-robot interaction for industrial automation
Image recognition for autonomous vehicles
Social media analytics for marketing strategy
Quantum computing for solving complex problems
Biometric authentication for secure access control
Augmented reality for education and training
Intelligent transportation systems for traffic management
Predictive modeling for financial markets
Cloud computing for scalable data storage and processing
Virtual reality for therapy and mental health treatment
Data visualization for business intelligence
Recommender systems for personalized product recommendations
Speech recognition for voice-controlled devices
Mobile computing for real-time location-based services
Neural networks for predicting user behavior
Genetic algorithms for optimization problems
Distributed computing for parallel processing
Internet of things (IoT) for smart cities
Wireless sensor networks for environmental monitoring
Cloud-based gaming for high-performance gaming
Social network analysis for identifying influencers
Autonomous systems for agriculture
Robotics for disaster response
Data mining for customer segmentation
Computer graphics for visual effects in movies and video games
Virtual assistants for personalized customer service
Natural language understanding for chatbots
3D printing for manufacturing prototypes
Artificial intelligence for stock trading
Machine learning for weather forecasting
Biomedical engineering for prosthetics and implants
Cybersecurity for financial institutions
Machine learning for energy consumption optimization
Computer vision for object tracking
Natural language processing for document summarization
Wearable technology for health and fitness monitoring
Internet of things (IoT) for home automation
Reinforcement learning for robotics control
Big data analytics for customer insights
Machine learning for supply chain optimization
Natural language processing for legal document analysis
Artificial intelligence for drug discovery
Computer vision for object recognition in robotics
Data mining for customer churn prediction
Autonomous systems for space exploration
Robotics for agriculture automation
Machine learning for predicting earthquakes
Natural language processing for sentiment analysis in customer reviews
Big data analytics for predicting natural disasters
Internet of things (IoT) for remote patient monitoring
Blockchain technology for digital identity management
Machine learning for predicting wildfire spread
Computer vision for gesture recognition
Natural language processing for automated translation
Big data analytics for fraud detection in banking
Internet of things (IoT) for smart homes
Robotics for warehouse automation
Machine learning for predicting air pollution
Natural language processing for medical record analysis
Augmented reality for architectural design
Big data analytics for predicting traffic congestion
Machine learning for predicting customer lifetime value
Developing algorithms for efficient and accurate text recognition
Natural Language Processing for Virtual Assistants
Natural Language Processing for Sentiment Analysis in Social Media
Explainable Artificial Intelligence (XAI) for Trust and Transparency
Deep Learning for Image and Video Retrieval
Edge Computing for Internet of Things (IoT) Applications
Data Science for Social Media Analytics
Cybersecurity for Critical Infrastructure Protection
Natural Language Processing for Text Classification
Quantum Computing for Optimization Problems
Machine Learning for Personalized Health Monitoring
Computer Vision for Autonomous Driving
Blockchain Technology for Supply Chain Management
Augmented Reality for Education and Training
Natural Language Processing for Sentiment Analysis
Machine Learning for Personalized Marketing
Big Data Analytics for Financial Fraud Detection
Cybersecurity for Cloud Security Assessment
Artificial Intelligence for Natural Language Understanding
Blockchain Technology for Decentralized Applications
Virtual Reality for Cultural Heritage Preservation
Natural Language Processing for Named Entity Recognition
Machine Learning for Customer Churn Prediction
Big Data Analytics for Social Network Analysis
Cybersecurity for Intrusion Detection and Prevention
Artificial Intelligence for Robotics and Automation
Blockchain Technology for Digital Identity Management
Virtual Reality for Rehabilitation and Therapy
Natural Language Processing for Text Summarization
Machine Learning for Credit Risk Assessment
Big Data Analytics for Fraud Detection in Healthcare
Cybersecurity for Internet Privacy Protection
Artificial Intelligence for Game Design and Development
Blockchain Technology for Decentralized Social Networks
Virtual Reality for Marketing and Advertising
Natural Language Processing for Opinion Mining
Machine Learning for Anomaly Detection
Big Data Analytics for Predictive Maintenance in Transportation
Cybersecurity for Network Security Management
Artificial Intelligence for Personalized News and Content Delivery
Blockchain Technology for Cryptocurrency Mining
Virtual Reality for Architectural Design and Visualization
Natural Language Processing for Machine Translation
Machine Learning for Automated Image Captioning
Big Data Analytics for Stock Market Prediction
Cybersecurity for Biometric Authentication Systems
Artificial Intelligence for Human-Robot Interaction
Blockchain Technology for Smart Grids
Virtual Reality for Sports Training and Simulation
Natural Language Processing for Question Answering Systems
Machine Learning for Sentiment Analysis in Customer Feedback
Big Data Analytics for Predictive Maintenance in Manufacturing
Cybersecurity for Cloud-Based Systems
Artificial Intelligence for Automated Journalism
Blockchain Technology for Intellectual Property Management
Virtual Reality for Therapy and Rehabilitation
Natural Language Processing for Language Generation
Machine Learning for Customer Lifetime Value Prediction
Big Data Analytics for Predictive Maintenance in Energy Systems
Cybersecurity for Secure Mobile Communication
Artificial Intelligence for Emotion Recognition
Blockchain Technology for Digital Asset Trading
Virtual Reality for Automotive Design and Visualization
Natural Language Processing for Semantic Web
Machine Learning for Fraud Detection in Financial Transactions
Big Data Analytics for Social Media Monitoring
Cybersecurity for Cloud Storage and Sharing
Artificial Intelligence for Personalized Education
Blockchain Technology for Secure Online Voting Systems
Virtual Reality for Cultural Tourism
Natural Language Processing for Chatbot Communication
Machine Learning for Medical Diagnosis and Treatment
Big Data Analytics for Environmental Monitoring and Management.
Cybersecurity for Cloud Computing Environments
Virtual Reality for Training and Simulation
Big Data Analytics for Sports Performance Analysis
Cybersecurity for Internet of Things (IoT) Devices
Artificial Intelligence for Traffic Management and Control
Blockchain Technology for Smart Contracts
Natural Language Processing for Document Summarization
Machine Learning for Image and Video Recognition
Blockchain Technology for Digital Asset Management
Virtual Reality for Entertainment and Gaming
Natural Language Processing for Opinion Mining in Online Reviews
Machine Learning for Customer Relationship Management
Big Data Analytics for Environmental Monitoring and Management
Cybersecurity for Network Traffic Analysis and Monitoring
Artificial Intelligence for Natural Language Generation
Blockchain Technology for Supply Chain Transparency and Traceability
Virtual Reality for Design and Visualization
Natural Language Processing for Speech Recognition
Machine Learning for Recommendation Systems
Big Data Analytics for Customer Segmentation and Targeting
Cybersecurity for Biometric Authentication
Artificial Intelligence for Human-Computer Interaction
Blockchain Technology for Decentralized Finance (DeFi)
Virtual Reality for Tourism and Cultural Heritage
Machine Learning for Cybersecurity Threat Detection and Prevention
Big Data Analytics for Healthcare Cost Reduction
Cybersecurity for Data Privacy and Protection
Artificial Intelligence for Autonomous Vehicles
Blockchain Technology for Cryptocurrency and Blockchain Security
Virtual Reality for Real Estate Visualization
Natural Language Processing for Question Answering
Big Data Analytics for Financial Markets Prediction
Cybersecurity for Cloud-Based Machine Learning Systems
Artificial Intelligence for Personalized Advertising
Blockchain Technology for Digital Identity Verification
Virtual Reality for Cultural and Language Learning
Natural Language Processing for Semantic Analysis
Machine Learning for Business Forecasting
Big Data Analytics for Social Media Marketing
Artificial Intelligence for Content Generation
Blockchain Technology for Smart Cities
Virtual Reality for Historical Reconstruction
Natural Language Processing for Knowledge Graph Construction
Machine Learning for Speech Synthesis
Big Data Analytics for Traffic Optimization
Artificial Intelligence for Social Robotics
Blockchain Technology for Healthcare Data Management
Virtual Reality for Disaster Preparedness and Response
Natural Language Processing for Multilingual Communication
Machine Learning for Emotion Recognition
Big Data Analytics for Human Resources Management
Cybersecurity for Mobile App Security
Artificial Intelligence for Financial Planning and Investment
Blockchain Technology for Energy Management
Virtual Reality for Cultural Preservation and Heritage.
Big Data Analytics for Healthcare Management
Cybersecurity in the Internet of Things (IoT)
Artificial Intelligence for Predictive Maintenance
Computational Biology for Drug Discovery
Virtual Reality for Mental Health Treatment
Machine Learning for Sentiment Analysis in Social Media
Human-Computer Interaction for User Experience Design
Cloud Computing for Disaster Recovery
Quantum Computing for Cryptography
Intelligent Transportation Systems for Smart Cities
Cybersecurity for Autonomous Vehicles
Artificial Intelligence for Fraud Detection in Financial Systems
Social Network Analysis for Marketing Campaigns
Cloud Computing for Video Game Streaming
Machine Learning for Speech Recognition
Augmented Reality for Architecture and Design
Natural Language Processing for Customer Service Chatbots
Machine Learning for Climate Change Prediction
Big Data Analytics for Social Sciences
Artificial Intelligence for Energy Management
Virtual Reality for Tourism and Travel
Cybersecurity for Smart Grids
Machine Learning for Image Recognition
Augmented Reality for Sports Training
Natural Language Processing for Content Creation
Cloud Computing for High-Performance Computing
Artificial Intelligence for Personalized Medicine
Virtual Reality for Architecture and Design
Augmented Reality for Product Visualization
Natural Language Processing for Language Translation
Cybersecurity for Cloud Computing
Artificial Intelligence for Supply Chain Optimization
Blockchain Technology for Digital Voting Systems
Virtual Reality for Job Training
Augmented Reality for Retail Shopping
Natural Language Processing for Sentiment Analysis in Customer Feedback
Cloud Computing for Mobile Application Development
Artificial Intelligence for Cybersecurity Threat Detection
Blockchain Technology for Intellectual Property Protection
Virtual Reality for Music Education
Machine Learning for Financial Forecasting
Augmented Reality for Medical Education
Natural Language Processing for News Summarization
Cybersecurity for Healthcare Data Protection
Artificial Intelligence for Autonomous Robots
Virtual Reality for Fitness and Health
Machine Learning for Natural Language Understanding
Augmented Reality for Museum Exhibits
Natural Language Processing for Chatbot Personality Development
Cloud Computing for Website Performance Optimization
Artificial Intelligence for E-commerce Recommendation Systems
Blockchain Technology for Supply Chain Traceability
Virtual Reality for Military Training
Augmented Reality for Advertising
Natural Language Processing for Chatbot Conversation Management
Cybersecurity for Cloud-Based Services
Artificial Intelligence for Agricultural Management
Blockchain Technology for Food Safety Assurance
Virtual Reality for Historical Reenactments
Machine Learning for Cybersecurity Incident Response.
Secure Multiparty Computation
Federated Learning
Internet of Things Security
Blockchain Scalability
Quantum Computing Algorithms
Explainable AI
Data Privacy in the Age of Big Data
Adversarial Machine Learning
Deep Reinforcement Learning
Online Learning and Streaming Algorithms
Graph Neural Networks
Automated Debugging and Fault Localization
Mobile Application Development
Software Engineering for Cloud Computing
Cryptocurrency Security
Edge Computing for Real-Time Applications
Natural Language Generation
Virtual and Augmented Reality
Computational Biology and Bioinformatics
Internet of Things Applications
Robotics and Autonomous Systems
Explainable Robotics
3D Printing and Additive Manufacturing
Distributed Systems
Parallel Computing
Data Center Networking
Data Mining and Knowledge Discovery
Information Retrieval and Search Engines
Network Security and Privacy
Cloud Computing Security
Data Analytics for Business Intelligence
Neural Networks and Deep Learning
Reinforcement Learning for Robotics
Automated Planning and Scheduling
Evolutionary Computation and Genetic Algorithms
Formal Methods for Software Engineering
Computational Complexity Theory
Bio-inspired Computing
Computer Vision for Object Recognition
Automated Reasoning and Theorem Proving
Natural Language Understanding
Machine Learning for Healthcare
Scalable Distributed Systems
Sensor Networks and Internet of Things
Smart Grids and Energy Systems
Software Testing and Verification
Web Application Security
Wireless and Mobile Networks
Computer Architecture and Hardware Design
Digital Signal Processing
Game Theory and Mechanism Design
Multi-agent Systems
Evolutionary Robotics
Quantum Machine Learning
Computational Social Science
Explainable Recommender Systems.
Artificial Intelligence and its applications
Cloud computing and its benefits
Cybersecurity threats and solutions
Internet of Things and its impact on society
Virtual and Augmented Reality and its uses
Blockchain Technology and its potential in various industries
Web Development and Design
Digital Marketing and its effectiveness
Big Data and Analytics
Software Development Life Cycle
Gaming Development and its growth
Network Administration and Maintenance
Machine Learning and its uses
Data Warehousing and Mining
Computer Architecture and Design
Computer Graphics and Animation
Quantum Computing and its potential
Data Structures and Algorithms
Computer Vision and Image Processing
Robotics and its applications
Operating Systems and its functions
Information Theory and Coding
Compiler Design and Optimization
Computer Forensics and Cyber Crime Investigation
Distributed Computing and its significance
Artificial Neural Networks and Deep Learning
Cloud Storage and Backup
Programming Languages and their significance
Computer Simulation and Modeling
Computer Networks and its types
Information Security and its types
Computer-based Training and eLearning
Medical Imaging and its uses
Social Media Analysis and its applications
Human Resource Information Systems
Computer-Aided Design and Manufacturing
Multimedia Systems and Applications
Geographic Information Systems and its uses
Computer-Assisted Language Learning
Mobile Device Management and Security
Data Compression and its types
Knowledge Management Systems
Text Mining and its uses
Cyber Warfare and its consequences
Wireless Networks and its advantages
Computer Ethics and its importance
Computational Linguistics and its applications
Autonomous Systems and Robotics
Information Visualization and its importance
Geographic Information Retrieval and Mapping
Business Intelligence and its benefits
Digital Libraries and their significance
Artificial Life and Evolutionary Computation
Computer Music and its types
Virtual Teams and Collaboration
Computer Games and Learning
Semantic Web and its applications
Electronic Commerce and its advantages
Multimedia Databases and their significance
Computer Science Education and its importance
Computer-Assisted Translation and Interpretation
Ambient Intelligence and Smart Homes
Autonomous Agents and Multi-Agent Systems.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

200+ Funny Research Topics

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9 Undergraduate Research Projects That Wowed Us This Year

The telegraph. The polio vaccine. The bar code. Light beer. Throughout its history, NYU has been known for innovation, with faculty and alumni in every generation contributing to some of the most notable inventions and scientific breakthroughs of their time. But you don’t wind up in the history books—or peer-reviewed journals—by accident; academic research, like any specialized discipline, takes hard work and lots of practice.

And at NYU, for students who are interested, that training can start early—including during an undergraduate's first years on campus. Whether through assistantships in faculty labs, summer internships, senior capstones, or independent projects inspired by coursework, undergrad students have many opportunities to take what they’re learning in the classroom and apply it to create original scholarship throughout their time at NYU. Many present their work at research conferences, and some even co-author work with faculty and graduate students that leads to publication.

As 2023-2024 drew to a close, the NYU News team coordinated with the Office of the Provost to pull together a snapshot of the research efforts that students undertook during this school year. The nine featured here represent just a small fraction of the impressive work we encountered in fields ranging from biology, chemistry, and engineering to the social sciences, humanities, and the arts.

These projects were presented at NYU research conferences for undergrads, including Migration and Im/Mobility , Pathways for Discovery: Undergraduate Research and Writing Symposium , Social Impact: NYU’s Applied Undergraduate Research Conference , Arts-Based Undergraduate Research Conference , Gallatin Student Research Conference , Dreammaker’s Summit , Tandon’s Research Excellence Exhibit , and Global Engagement Symposium . Learn more about these undergrad research opportunities and others.

Jordan Janowski (CAS '24)

Sade Chaffatt (NYU Abu Dhabi '24)

Elsa Nyongesa (GPH, CAS ’24 )

Anthony Offiah (Gallatin ’26)

Kimberly Sinchi (Tandon ’24) and Sarah Moughal (Tandon ’25)

Rohan Bajaj (Stern '24)

Lizette Saucedo (Liberal Studies ’24)

Eva Fuentes (CAS '24)

Andrea Durham (Tandon ’26)

Jordan Janowski (CAS ’24) Major: Biochemistry Thesis title: “Engineering Chirality for Functionality in Crystalline DNA”

Jordan Janowski (CAS '24). Photo by Tracey Friedman

I work in the Structural DNA Nanotechnology Lab, which was founded by the late NYU professor Ned Seeman, who is known as the father of the field. My current projects are manipulating DNA sequences to self-assemble into high order structures.

Essentially, we’re using DNA as a building material, instead of just analyzing it for its biological functions. It constantly amazes me that this is possible.

I came in as a pre-med student, but when I started working in the lab I realized that I was really interested in continuing my research there. I co-wrote a paper with postdoc Dr. Simon Vecchioni who has been a mentor to me and helped me navigate applying to grad school. I’m headed to Scripps Research in the fall. This research experience has led me to explore some of the molecules that make up life and how they could be engineered into truly unnatural curiosities and technologies.

My PI, Prof. Yoel Ohayon , has been super supportive of my place on the NYU women’s basketball team, which I’m a member of. He’s been coming to my games since sophomore year, and he’ll text me with the score and “great game!”— it’s been so nice to have that support for my interests beyond the lab.

Anthony Offiah (Gallatin ’26) Concentration: Fashion design and business administration MLK Scholars research project title: “project: DREAMER”

Anthony Offiah (Gallatin '26). Photo by Tracey Friedman

In “project: DREAMER,” I explored how much a person’s sense of fashion is a result of their environment or societal pressures based on their identity. Certain groups are pressured or engineered to present a certain way, and I wanted to see how much of the opposing force—their character, their personality—affected their sense of style.

This was a summer research project through the MLK Scholars Program . I did ethnographic interviews with a few people, and asked them to co-design their ideal garments with me. They told me who they are, how they identify, and what they like in fashion, and we synthesized that into their dream garments. And then we had a photo shoot where they were empowered to make artistic choices.

Some people told me they had a hard time conveying their sense of style because they were apprehensive about being the center of attention or of being dissimilar to the people around them. So they chose to conform to protect themselves. And then others spoke about wanting to safeguard the artistic or vulnerable—or one person used the word “feminine”—side of them so they consciously didn’t dress how they ideally would.

We ended the interviews by stating an objective about how this co-designing process didn’t end with them just getting new clothes—it was about approaching fashion differently than how they started and unlearning how society might put them in a certain box without their approval.

My concentration in Gallatin is fashion design and business administration. In the industry some clothing is critiqued and some clothing is praised—and navigating that is challenging, because what you like might not be well received. So doing bespoke fashion for just one person is freeing in a sense because you don’t have to worry about all that extra stuff. It’s just the art. And I like being an artist first and thinking about the business second.

Lizette Saucedo (Global Liberal Studies ’24) Major: Politics, rights, and development Thesis title: “Acknowledging and Remembering Deceased Migrants Crossing the U.S.-Mexican Border”

Lizette Saucedo (Global Liberal Studies '24). Photo by Tracey Friedman

My thesis project is on commemorating migrants who are dying on their journey north to cross the U.S.–Mexican border. I look at it through different theoretical lenses, and one of the terms is necropolitics—how politics shapes the way the State governs life and especially death. And then of the main issues aside from the deaths is that a lot of people in the U.S. don’t know about them, due to the government trying to eschew responsibility for migrant suffering. In the final portion of the thesis, I argue for presenting what some researchers call “migrant artifacts”—the personal belongings left behind by people trying to cross over—to the public, so that people can become aware and have more of a human understanding of what’s going on.

This is my senior thesis for Liberal Studies, but the idea for it started in an International Human Rights course I took with professor Joyce Apsel . We read a book by Jason De León called The Land of the Open Graves , which I kept in the back of my mind. And then when I studied abroad in Germany during my junior year, I noticed all the different memorials and museums, and wondered why we didn’t have the equivalent in the U.S. My family comes from Mexico—my parents migrated—and ultimately all of these interests came together.

I came into NYU through the Liberal Studies program and I loved it. It’s transdisciplinary, which shaped how I view my studies. My major is politics, rights, and development and my minor is social work, but I’ve also studied museum studies, and I’ve always loved the arts. The experience of getting to work one-on-one on this thesis has really fortified my belief that I can combine all those things.

Sade Chaffatt (Abu Dhabi ’24) Major: Biology Thesis title: “The Polycomb repressive component, EED in mouse hepatocytes regulates liver homeostasis and survival following partial hepatectomy.”

Sade Chaffatt (NYU Abu Dhabi '24). Photo courtesy of NYUAD

Imagine your liver as a room. Within the liver there are epigenetic mechanisms that control gene expression. Imagine these epigenetic mechanisms as a dimmer switch, so that you could adjust the light in the room. If we remove a protein that is involved in regulating these mechanisms, there might be dysregulation—as though the light is too bright or too dim. One such protein, EED, plays a crucial role in regulating gene expression. And so my project focuses on investigating whether EED is required in mouse hepatocytes to regulate liver homeostasis and to regulate survival following surgical resection.

Stepping into the field of research is very intimidating when you’re an undergraduate student and know nothing. But my capstone mentor, Dr. Kirsten Sadler , encourages students to present their data at lab meetings and to speak with scientists. Even though this is nerve-wracking, it helps to promote your confidence in communicating science to others in the field.

If you’d asked 16-year-old me, I never would’ve imagined that I’d be doing research at this point. Representation matters a lot, and you often don't see women—especially not Black women—in research. Being at NYUAD has really allowed me to see more women in these spaces. Having had some experience in the medical field through internships, I can now say I’m more interested in research and hope to pursue a PhD in the future.

Kimberly Sinchi (Tandon ’24) Major: Computer Science Sarah Moughal (Tandon ’25) Major: Computer Science Project: Robotic Design Team's TITAN

Sarah Moughal (Tandon '25, left) and Kimberly Sinchi (Tandon '24). Photo by Tracey Friedman

Kimberly: The Robotic Design Team has been active at NYU for at least five years. We’re 60-plus undergrad and grad students majoring in electrical engineering, mechanical engineering, computer science, and integrated design. We’ve named our current project TITAN because of how huge it is. TITAN stands for “Tandon’s innovation in terraforming and autonomous navigation.”

Sarah: We compete in NASA’s lunatics competition every year, which means we build a robot from scratch to be able to compete in lunar excavation and construction. We make pretty much everything in house in the Tandon MakerSpace, and everyone gets a little experience with machining, even if you're not mechanical. A lot of it is about learning how to work with other people—communicating across majors and disciplines and learning how to explain our needs to someone who may not be as well versed in particular technologies as we are.

Kimberly: With NYU’s Vertically Integrated Project I’ve been able to take what I was interested in and actually have a real world impact with it. NASA takes notes on every Rover that enters this competition. What worked and what didn’t actually influences their designs for rovers they send to the moon and to Mars.

Eva Fuentes (CAS ’24) Major: Anthropology Thesis title: “Examining the relationship between pelvic shape and numbers of lumbar vertebrae in primates”

Eva Fuentes (CAS '24). Photo by Tracey Friedman

I came into NYU thinking I wanted to be an art history major with maybe an archeology minor. To do the archeology minor, you have to take the core classes in anthropology, and so I had to take an intro to human evolution course. I was like, this is the coolest thing I’ve learned—ever. So I emailed people in the department to see if I could get involved.

Since my sophomore year, I’ve been working in the Evolutionary Morphology Lab with Scott Williams, who is primarily interested in the vertebral column of primates in the fossil record because of how it can inform the evolution of posture and locomotion in humans.

For my senior thesis, I’m looking at the number of lumbar vertebrae—the vertebrae that are in the lower back specifically—and aspects of pelvic shape to see if it is possible to make inferences about the number of lumbar vertebrae a fossil may have had. The bones of the lower back are important because they tell us about posture and locomotion.

I committed to a PhD program at Washington University in St. Louis a few weeks ago to study biological anthropology. I never anticipated being super immersed in the academic world. I don’t come from an academic family. I had no idea what I was doing when I started, but Scott Williams, and everyone in the lab, is extremely welcoming and easy to talk to. It wasn't intimidating to come into this lab at all.

Elsa Nyongesa (GPH, CAS ’24 ) Major: Global Public Health and Biology Project: “Diversity in Breast Oncological Studies: Impacts on Black Women’s Health Outcomes”

Elsa Nyongesa (GPH, CAS '24). Photo by Tracey Friedman

I interned at Weill Cornell Medicine through their Travelers Summer Research Fellowship Program where I worked with my mentor, Dr. Lisa Newman, who is the head of the International Center for the Study of Breast Cancer Subtypes. I analyzed data on the frequency of different types of breast cancer across racial and ethnic groups in New York. At the same time, I was also working with Dr. Rachel Kowolsky to study minority underrepresentation in clinical research.

In an experiential learning course taught by Professor Joyce Moon Howard in the GPH department, I created a research question based on my internship experience. I thought about how I could combine my experiences from the program which led to my exploration of the correlation between minority underrepresentation in breast oncological studies, and how it affects the health outcomes of Black women with breast cancer.

In my major, we learn about the large scope of health disparities across different groups. This opportunity allowed me to learn more about these disparities in the context of breast cancer research. As a premedical student, this experience broadened my perspective on health. I learned more about the social, economic, and environmental factors influencing health outcomes. It also encouraged me to examine literature more critically to find gaps in knowledge and to think about potential solutions to health problems. Overall, this experience deepened my philosophy of service, emphasizing the importance of health equity and advocacy at the research and clinical level.

Rohan Bajaj (Stern ’24) Major: Finance and statistics Thesis title: “Measuring Socioeconomic Changes and Investor Attitude in Chicago’s Post-Covid Economic Recovery”

Rohan Bajaj (Stern '24). Photo by Tracey Friedman

My thesis is focused on understanding the effects of community-proposed infrastructure on both the socioeconomic demographics of cities and on fiscal health. I’m originally from Chicago, so it made a lot of sense to pay tribute back to the place that raised me. I’m compiling a list of characteristics of infrastructure that has been developed since 2021 as a part of the Chicago Recovery Plan and then assessing how neighborhoods have changed geographically and economically.

I’m looking at municipal bond yields in Chicago as a way of evaluating the fiscal health of the city. Turns out a lot of community-proposed infrastructure is focused in lower income areas within Chicago rather than higher income areas. So that makes the research question interesting, to see if there’s a correlation between the proposed and developed infrastructure projects, and if these neighborhoods are being gentrified alongside development.

I kind of stumbled into the impact investing industry accidentally from an internship I had during my time at NYU. I started working at a renewable energies brokerage in midtown, where my main job was collecting a lot of market research trends and delivering insights on how these different energy markets would come into play. I then worked with the New York State Insurance Fund, where I helped construct and execute their sustainable investment strategy from the ground up.

I also took a class called “Design with Climate Change” with Peter Anker in Gallatin during my junior year, and a lot of that class was focused on how to have climate resilient and publicly developed infrastructure, and understanding the effects it has on society. It made me start thinking about the vital role that physical surroundings play in steering communities.

In the short term I want to continue diving into impact-focused investing and help identify urban planners and city government to develop their communities responsibly and effectively.

Andrea Durham (Tandon, ’26) Major: Biomolecular science Research essay title: “The Rise and Fall of Aduhelm”

Andrea Durham (Tandon '26). Photo by Tracey Friedman

This is an essay I wrote last year in an advanced college essay writing class with Professor Lorraine Doran on the approval of a drug for Alzheimer’s disease called Aduhelm—a monoclonal antibody therapy developed by Biogen in 2021, which was described as being momentous and groundbreaking. But there were irregularities ranging from the design of its clinical trials to government involvement that led to the resignation of three scientists on an advisory panel, because not everybody in the scientific community agreed that it should be approved.

When I was six years old, my grandmother was diagnosed. Seeing the impact that it had over the years broke my heart and ignited a passion in me to pursue research.

When I started at NYU, I wasn’t really sure what I was going to do in the future, or what opportunities I would go after. This writing class really gave me an opportunity to reflect on the things that were important to me in my life. The September after I wrote this paper, I started volunteering in a lab at Mount Sinai for Alzheimer's disease research, and that’s what I’m doing now—working as a volunteer at the Center for Molecular Integrative Neuroresilience under Dr. Giulio Pasinetti. I have this opportunity to be at the forefront, and because of the work I did in my writing class I feel prepared going into these settings with an understanding of the importance of conducting ethical research and working with integrity.

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Study explains why the brain can robustly recognize images, even without color

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Pawan Sinha looks at a wall of about 50 square photos. The photos are pictures of children with vision loss who have been helped by Project Prakash.

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Even though the human visual system has sophisticated machinery for processing color, the brain has no problem recognizing objects in black-and-white images. A new study from MIT offers a possible explanation for how the brain comes to be so adept at identifying both color and color-degraded images.

Using experimental data and computational modeling, the researchers found evidence suggesting the roots of this ability may lie in development. Early in life, when newborns receive strongly limited color information, the brain is forced to learn to distinguish objects based on their luminance, or intensity of light they emit, rather than their color. Later in life, when the retina and cortex are better equipped to process colors, the brain incorporates color information as well but also maintains its previously acquired ability to recognize images without critical reliance on color cues.

The findings are consistent with previous work showing that initially degraded visual and auditory input can actually be beneficial to the early development of perceptual systems.

“This general idea, that there is something important about the initial limitations that we have in our perceptual system, transcends color vision and visual acuity. Some of the work that our lab has done in the context of audition also suggests that there’s something important about placing limits on the richness of information that the neonatal system is initially exposed to,” says Pawan Sinha, a professor of brain and cognitive sciences at MIT and the senior author of the study.

The findings also help to explain why children who are born blind but have their vision restored later in life, through the removal of congenital cataracts, have much more difficulty identifying objects presented in black and white. Those children, who receive rich color input as soon as their sight is restored, may develop an overreliance on color that makes them much less resilient to changes or removal of color information.

MIT postdocs Marin Vogelsang and Lukas Vogelsang, and Project Prakash research scientist Priti Gupta, are the lead authors of the study, which appears today in Science . Sidney Diamond, a retired neurologist who is now an MIT research affiliate, and additional members of the Project Prakash team are also authors of the paper.

Seeing in black and white

The researchers’ exploration of how early experience with color affects later object recognition grew out of a simple observation from a study of children who had their sight restored after being born with congenital cataracts. In 2005, Sinha launched Project Prakash (the Sanskrit word for “light”), an effort in India to identify and treat children with reversible forms of vision loss.

Many of those children suffer from blindness due to dense bilateral cataracts. This condition often goes untreated in India, which has the world’s largest population of blind children, estimated between 200,000 and 700,000.

Children who receive treatment through Project Prakash may also participate in studies of their visual development, many of which have helped scientists learn more about how the brain's organization changes following restoration of sight, how the brain estimates brightness, and other phenomena related to vision.

In this study, Sinha and his colleagues gave children a simple test of object recognition, presenting both color and black-and-white images. For children born with normal sight, converting color images to grayscale had no effect at all on their ability to recognize the depicted object. However, when children who underwent cataract removal were presented with black-and-white images, their performance dropped significantly.

This led the researchers to hypothesize that the nature of visual inputs children are exposed to early in life may play a crucial role in shaping resilience to color changes and the ability to identify objects presented in black-and-white images. In normally sighted newborns, retinal cone cells are not well-developed at birth, resulting in babies having poor visual acuity and poor color vision. Over the first years of life, their vision improves markedly as the cone system develops.

Because the immature visual system receives significantly reduced color information, the researchers hypothesized that during this time, the baby brain is forced to gain proficiency at recognizing images with reduced color cues. Additionally, they proposed, children who are born with cataracts and have them removed later may learn to rely too much on color cues when identifying objects, because, as they experimentally demonstrated in the paper, with mature retinas, they commence their post-operative journeys with good color vision.

To rigorously test that hypothesis, the researchers used a standard convolutional neural network, AlexNet, as a computational model of vision. They trained the network to recognize objects, giving it different types of input during training. As part of one training regimen, they initially showed the model grayscale images only, then introduced color images later on. This roughly mimics the developmental progression of chromatic enrichment as babies’ eyesight matures over the first years of life.

Another training regimen comprised only color images. This approximates the experience of the Project Prakash children, because they can process full color information as soon as their cataracts are removed.

The researchers found that the developmentally inspired model could accurately recognize objects in either type of image and was also resilient to other color manipulations. However, the Prakash-proxy model trained only on color images did not show good generalization to grayscale or hue-manipulated images.

“What happens is that this Prakash-like model is very good with colored images, but it’s very poor with anything else. When not starting out with initially color-degraded training, these models just don’t generalize, perhaps because of their over-reliance on specific color cues,” Lukas Vogelsang says.

The robust generalization of the developmentally inspired model is not merely a consequence of it having been trained on both color and grayscale images; the temporal ordering of these images makes a big difference. Another object-recognition model that was trained on color images first, followed by grayscale images, did not do as well at identifying black-and-white objects.

“It’s not just the steps of the developmental choreography that are important, but also the order in which they are played out,” Sinha says.

The advantages of limited sensory input

By analyzing the internal organization of the models, the researchers found that those that begin with grayscale inputs learn to rely on luminance to identify objects. Once they begin receiving color input, they don’t change their approach very much, since they’ve already learned a strategy that works well. Models that began with color images did shift their approach once grayscale images were introduced, but could not shift enough to make them as accurate as the models that were given grayscale images first.

A similar phenomenon may occur in the human brain, which has more plasticity early in life, and can easily learn to identify objects based on their luminance alone. Early in life, the paucity of color information may in fact be beneficial to the developing brain, as it learns to identify objects based on sparse information.

“As a newborn, the normally sighted child is deprived, in a certain sense, of color vision. And that turns out to be an advantage,” Diamond says.

Researchers in Sinha’s lab have observed that limitations in early sensory input can also benefit other aspects of vision, as well as the auditory system. In 2022, they used computational models to show that early exposure to only low-frequency sounds, similar to those that babies hear in the womb, improves performance on auditory tasks that require analyzing sounds over a longer period of time, such as recognizing emotions. They now plan to explore whether this phenomenon extends to other aspects of development, such as language acquisition.

The research was funded by the National Eye Institute of NIH and the Intelligence Advanced Research Projects Activity.

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FY 2023 GDUFA Science and Research Report

2023 GDUFA Science and Research Report Cover

FY 2023 GDUFA Science and Research Report (PDF - 19 MB)

FDA’s generic drug Science and Research Program created under the Generic Drug User Fee Amendments (GDUFA) is an essential component of FDA’s mission to protect and promote public health. The Science and Research Program is implemented through extensive research collaborations among FDA scientists and through multiple collaborations with research institutions worldwide.

GDUFA-funded research aims to improve the efficiency with which generic drugs can be developed and assessed, and benefits public health in two critical ways:

making it more feasible for manufacturers to develop generic drugs, which can reduce the risk of drug shortages and facilitates competition; and
enhancing patient access to treatment by helping make these products more available, allowing patients in the United States to obtain the medicines they need.

Each year, multiple sources of public input help FDA identify specific generic drug science and research priorities that can help expand and accelerate patient access to generic drugs. FDA then advances research in those scientific areas and publishes reports that correspond to these activities and their outcomes. In FY 2023 eight scientific areas were identified as GDUFA Science and Research Priority Initiatives. Accordingly, this FY 2023 GDUFA Science and Research report describes active research projects and outcomes organized into eight chapters corresponding to the eight priority areas with a ninth chapter reporting on additional generic drug

(Each link below will open a 19 MB PDF)

Introduction
Joint Directors' Message
Chapter 1: Impurities
Chapter 2: Complex APIs
Chapter 3: Complex Dosage Forms & Formulations
Chapter 4: Complex Routes of Delivery
Chapter 5: Drug-Device Combination Products
Chapter 6: Oral and Parenteral Products
Chapter 7: Quantitative Methods & Models
Chapter 8: Data Analytics & Artificial Intelligence
Chapter 9: Other Generic Product Science & Research
Acknowledgments

Joint Directors’ Message

The GDUFA science and research program facilitates patient access to high-quality, safe, and effective generic drugs. It does this by advancing research in areas where generic product development has been limited due to scientific knowledge gaps. For example, an insufficient scientific understanding can create uncertainty about how to develop a complex generic product, or how to demonstrate that it is bioequivalent to its brand name reference listed drug product. Each fiscal year, experts across the generic drug industry collaborate with FDA to establish research priorities for the most pressing scientific challenges they face with generic product development. Scientists and clinicians from industry, academia, and the FDA then strategically design research projects and studies so that the research outcomes enable FDA to build scientific bridges across the knowledge gaps. The outcomes of this research help FDA establish efficient new approaches for pharmaceutical manufacturers to develop generic drugs that were previously challenging or unfeasible to develop, thus making these generic medicines available for patients.

Read the full FY 2023 GDUFA Science and Research Report Joint Directors' Message .

How to Get Started on Your First Psychology Experiment

Acquiring even a little expertise in advance makes science research easier..

Updated May 16, 2024 | Reviewed by Ray Parker

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One of the most rewarding and frustrating parts of my long career as a psychology professor at a small liberal arts college has been guiding students through the senior capstone research experience required near the end of their college years. Each psychology major must conduct an independent experiment in which they collect data to test a hypothesis, analyze the data, write a research paper, and present their results at a college poster session or at a professional conference.

The rewarding part of the process is clear: The students' pride at seeing their poster on display and maybe even getting their name on an article in a professional journal allows us professors to get a glimpse of students being happy and excited—for a change. I also derive great satisfaction from watching a student discover that he or she has an aptitude for research and perhaps start shifting their career plans accordingly.

The frustrating part comes at the beginning of the research process when students are attempting to find a topic to work on. There is a lot of floundering around as students get stuck by doing something that seems to make sense: They begin by trying to “think up a study.”

The problem is that even if the student's research interest is driven by some very personal topic that is deeply relevant to their own life, they simply do not yet know enough to know where to begin. They do not know what has already been done by others, nor do they know how researchers typically attack that topic.

Students also tend to think in terms of mission statements (I want to cure eating disorders) rather than in terms of research questions (Why are people of some ages or genders more susceptible to eating disorders than others?).

Needless to say, attempting to solve a serious, long-standing societal problem in a few weeks while conducting one’s first psychology experiment can be a showstopper.

Even a Little Bit of Expertise Can Go a Long Way

My usual approach to helping students get past this floundering stage is to tell them to try to avoid thinking up a study altogether. Instead, I tell them to conceive of their mission as becoming an “expert” on some topic that they find interesting. They begin by reading journal articles, writing summaries of these articles, and talking to me about them. As the student learns more about the topic, our conversations become more sophisticated and interesting. Researchable questions begin to emerge, and soon, the student is ready to start writing a literature review that will sharpen the focus of their research question.

In short, even a little bit of expertise on a subject makes it infinitely easier to craft an experiment on that topic because the research done by others provides a framework into which the student can fit his or her own work.

This was a lesson I learned early in my career when I was working on my own undergraduate capstone experience. Faced with the necessity of coming up with a research topic and lacking any urgent personal issues that I was trying to resolve, I fell back on what little psychological expertise I had already accumulated.

In a previous psychology course, I had written a literature review on why some information fails to move from short-term memory into long-term memory. The journal articles that I had read for this paper relied primarily on laboratory studies with mice, and the debate that was going on between researchers who had produced different results in their labs revolved around subtle differences in the way that mice were released into the experimental apparatus in the studies.

Because I already had done some homework on this, I had a ready-made research question available: What if the experimental task was set up so that the researcher had no influence on how the mouse entered the apparatus at all? I was able to design a simple animal memory experiment that fit very nicely into the psychological literature that was already out there, and this prevented a lot of angst.

Please note that my undergraduate research project was guided by the “expertise” that I had already acquired rather than by a burning desire to solve some sort of personal or social problem. I guarantee that I had not been walking around as an undergraduate student worrying about why mice forget things, but I was nonetheless able to complete a fun and interesting study.

My first experiment may not have changed the world, but it successfully launched my research career, and I fondly remember it as I work with my students 50 years later.

Frank McAndrew, Ph.D., is the Cornelia H. Dudley Professor of Psychology at Knox College.

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2024 US-UK Scientific Forum on science in the age of AI

Every year, the Royal Society and the National Academy of Sciences (NAS) jointly convene the US-UK Scientific Forum to help the scientific leadership of the United Kingdom and the United States forge an enduring and productive partnership on pressing topics of worldwide scientific concern.

The 2024 Forum will take place 11-12 June and is focusing on Science in the age of AI. Rapid advancements in the field of AI pose both opportunities and challenges to scientific research. The Forum will explore the emergence of AI in support of scientific research; applications of AI in different scientific fields; new paradigms of doing science enabled by AI; the intersection of AI with open science and the issues of reproducibility and replicability; and ethical issues related to the use of AI in science.

Participation in the Forum is by invitation only, but the proceedings will be livestreamed on this page and available to watch again afterwards.

The agenda for the Forum and the livestream links will be available shortly.

2024 US-UK Scientific Forum Planning Committee

Alison Noble, Technikos Professor of Biomedical Engineering, University of Oxford

William Press, Professor of Computer Science and Integrative Biology, The University of Texas at Austin

Committee Members

Andy Cooper, Professor, University of Liverpool and Director, Leverhulme Research Centre for Functional Materials Design Chemistry

David Donoho, Anne T. and Robert M. Bass Professor of Humanities and Sciences, Professor of Statistics, Stanford University

Chris Holmes, Professor of Biostatistics in Genomics, University of Oxford

Francesca Rossi, IBM Fellow and AI Ethics Global Leader, Thomas J. Watson Research Center

Tapio Schneider, Theodore Y. Wu Professor of Environmental Science and Engineering, California Institute of Technology

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2022 US-UK Scientific Forum on bringing nature into decision making

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NSF invests $36M in computing projects that promise to maximize performance, reduce energy demands

The U.S. National Science Foundation is awarding $36 million to three projects selected for their potential to revolutionize computing and make significant impacts in reducing the carbon footprint of the lifecycle of computers. Funding for the projects comes from the NSF Expeditions in Computing (Expeditions) program, an ambitious initiative that supports transformative research poised to yield lasting impacts on society, the economy and technological advancement. Projects funded by Expeditions are characterized by their ambition and potential for transformation, leveraging advances in computing and cyberinfrastructure to accelerate discovery and innovation across various domains of science and engineering.

"We are thrilled to announce these visionary projects that will advance environmental responsibility and foster innovation in the field of computing," said Dilma DaSilva, acting assistant director for the NSF Directorate for Computer and Information Science and Engineering (CISE). "Congratulations to these pioneering teams whose research will forge new pathways in computational decarbonization and in revolutionizing operating system design with machine learning.

The 2024 NSF Expeditions awardees

NSF Expeditions in Computing: Carbon Connect--An Ecosystem for Sustainable Computing . Led by Harvard University, this multi-institutional, five-year research initiative will lay the foundations for sustainable computing, with a focus on reducing the environmental impact of computer systems. This shift toward sustainability could spark a transformation in how computer systems are manufactured, allocated and consumed, leading to a more responsible and sustainable approach to advancing computing technologies. By redefining the way computer scientists consider environmental sustainability, Carbon Connect will establish new standards for carbon accounting in the computing industry, thereby influencing future energy policy and legislation.

Collaborators on this project include the University of Pennsylvania, the California Institute of Technology, Carnegie Mellon University, Cornell University, Yale University and The Ohio State University.

NSF Expeditions in Computing for Computational Decarbonization of Societal Infrastructures at Mesoscales . Led by the University of Massachusetts Amherst, this project will develop the new field of computational decarbonization, (CoDec), which focuses on optimizing and reducing the lifecycle of carbon emissions of complex computing and societal infrastructure systems. CoDec will tackle interdependencies across multiple aspects of infrastructure, including computing, transportation, buildings and the electric power grid. Through innovative sensing approaches, optimization methods grounded in theory and artificial intelligence, and software-defined interfaces, CoDec seeks to automate and coordinate carbon-efficiency optimizations across time, space and sectors. These efforts will enable scientific discoveries in decarbonization while supporting sustainable growth, advancing technology and strengthening national security.

Collaborators of this project include Carnegie Mellon University, the Massachusetts Institute of Technology, the University of Chicago, UCLA and the University of Wisconsin-Madison.

NSF Expeditions in Computing: Learning Directed Operating System--A Clean-Slate Paradigm for Operating Systems Design and Implementation . Led by The University of Texas at Austin, this project aims to revolutionize the design of operating systems (OSes) by integrating advanced machine learning (ML) into resource management. Current OSes employ rigid, manually designed approaches for allocating hardware resources among running applications. This inflexibility makes it hard to adapt to evolving application needs and hardware, leading to inefficiency and poor performance. This research will develop a learning-directed operating system with intrinsic intelligence and auto-adaptation, enabling ML-driven resource management that optimizes performance and efficiency and requires minimal human intervention. By fundamentally rethinking OS design with ML at its core, this research has the potential to significantly improve the energy efficiency of cloud computing, enable real-time edge computing applications and create innovative computing devices.

About the Expeditions program

Established in 2008, the NSF Expeditions awards represent some of the largest investments provided by the CISE directorate. Pioneering work funded by the program includes the Robobee Project and CompSustNet .

Expeditions projects focus on creating transformative technologies, methodologies and infrastructure that can be adopted by the broader research community, industry or society at large. The program emphasizes the translation of research outcomes into practical applications, thus driving advancements in computer science and its real-world applications.

For more information, see the Expeditions award page

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Class of 2024 | Harnessing AI for Architecture

Eight Questions with Masters of Science in Architecture Graduate Asif Zeshan

“We need to open up a world of possibilities where the role of the architect evolves from being the sole creator to a collaborator with advanced technology and I feel inspired to be part of research on the topic.”

Masters of Science in Architecture graduate Asif Zeshan feels that the architecture community is due for a transformation to keep up with emerging technology. The MS.Arch program provided him the opportunity to dive into research on the topic, bringing his passions to life.

Q: What brought you to CAPLA to study as a master's student? A: After beginning my professional journey in Bangladesh in 2020 after earning my bachelor's degree, I dove into both academia and the professional world. This experience intensified my long-held passion for merging technology with architecture. However, a noticeable reluctance to embrace the latest technological innovation in my local market piqued my curiosity. Was this just a local trend or a broader global industry pattern? This question led me to seek a platform where I could explore these dynamics deeper. Enter CAPLA at the University of Arizona, whose dedication to pioneering solutions for real-world architectural challenges immediately struck a chord with me.

The MS.Arch program, with its flexible and comprehensive curriculum, emerged as the perfect avenue for me to not only engage with international architectural trends, but also to make a substantial contribution to the field. This culmination of experiences and aspirations naturally pointed me towards choosing CAPLA for my master's studies, marking it as the next exciting chapter in my journey.

Q: What got you interested in doing research? A: My fascination with research in design tech was sparked by recognizing architecture as more than a process-driven profession. In school and professional life, we're trained to follow steps, optimize processes with tools and software and often focus on aesthetics or established norms. Architecture's true potential lies in its capacity for real-world problem-solving and quantifiable solutions. This realization hit me during my journey through traditional architectural education, professional roles and teaching. Architecture, at its core, is dynamic, requiring not just tech-savviness, but innovation in the very tools and frameworks we use. With the rapid evolution of technology, I saw a gap and an opportunity. We need to evolve from merely using technology to being the innovators of our own architectural tech. This understanding propelled me into design tech research, driven by a desire to push boundaries and harness technology's full potential for our unique problem-solving needs. It's about shaping the future of architecture, where we're creators and innovators, not just practitioners.

Q: Describe your research project. A: My research dives into the transformative potential of artificial intelligence in reshaping the architectural design process. Traditionally, humans have been the sole architects of our built environment, naturally placing our needs at the forefront. However, AI introduces a paradigm shift. It should not just be perceived as a design assistant, but a new form of intelligence that perceives humans as one element within the design ecosystem, rather than the central focus. This perspective is crucial as we confront global challenges like climate change, massive migrations, pollution and dwindling energy resources. My project explores how synthetic intelligence can redefine our approach to design, envisioning a future where AI challenges and innovates our conventional design processes to address real-world issues.

Q: Why is this project important to you? A: This project holds great significance to me as it navigates the intersection of AI and architecture, a domain ripe with potential, yet often approached with apprehension. While a lot of architects fear AI being a job threat as an automating agent of the design process, I view it as a catalyst for elevating our design capabilities. Imagine leveraging it to generate thousands of design iterations, each addressing different aspects of a problem, or using it to refine our initial sketches. This technology doesn't replace our creativity. Instead, it amplifies it, allowing us more time for critical design thinking and access to a vast reservoir of knowledge. We need to open up a world of possibilities where the role of the architect evolves from being the sole creator to a collaborator with advanced technology and I feel inspired to be part of research on the topic.

Q: What are your career goals? A: My career goals revolve around being a catalyst for change in the field of architecture. I aspire to engage in both professional and academic research, aiming to redefine the traditional confines of space design. My vision is to evolve the role of architects from primarily aesthetic-driven artists to multifaceted problem solvers who value artistry while addressing real-world challenges. Additionally, I'm driven to contribute to education, instilling this holistic approach in the next generation of architecture professionals. Ultimately, I seek to be at the forefront of projects that challenge and expand our conceptual and processual boundaries in architecture.

Q: How is your experience in this program setting you up for success in the future? A: My experience in the "Emerging Building Technology" concentration of MS.Arch has been a perfect blend of technology and discipline-specific learning. It allowed me to delve into advanced simulation techniques and fabrication tools, aligning with my initial goals for the program. Beyond this, the program's flexibility enabled me to explore AI fundamentals and research computation courses from other departments, crucial for my future in design tech research. I've also had the privilege of publishing my first academic research under expert guidance and was honored with nominations for data science fellowships from the Arizona Institute for Resilience and Data Science Institute . These experiences and opportunities are shaping me into a well-rounded design research professional, laying a solid foundation for my future endeavors in this exciting field.

Q: What have you found most unique about this program? A: The most unique aspect of this master's program, for me, lies in its specialized and accelerated nature, perfectly tailored to my educational journey. Coming from a rigorous five-year bachelor's program focused on licensure, I sought a master's curriculum that would deepen my knowledge in specific areas of interest within the discipline. This program stands out by offering that exact opportunity, a rarity among institutions. Additionally, its STEM designation is a crucial feature, opening doors for extended professional experiences in the U.S., which is instrumental for my growth as both a researcher and a professional.

Q: What advice do you have for prospective students? A: Describing graduate study as merely “demanding” doesn't quite capture it. It's a rigorous blend of meticulousness and multi-tasking, requiring a well-tuned balance of study, work and personal life. My key advice for prospective students would be to engage in thoughtful self-reflection before diving into a program. Identify what truly ignites your professional passion. This clarity is crucial in selecting a program that resonates with your interests. The MS.Arch program, for instance, offers remarkable openness and flexibility, which is fantastic, but can also feel daunting. Use self-reflection to hone a specific focus within your chosen field. This approach will not only guide you in selecting relevant courses and research areas, but will also pave a clear path towards a career that genuinely aligns with your passions and aspirations.

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Teresa Rosano, assistant professor of practice in the School of Architecture

CAPLA's Teresa Rosano Wins Prestigious Gerald J. Swanson Teaching Excellence Award

The University of Arizona has awarded Teresa Rosano, an assistant professor of practice in the School of Architecture, the Gerald J. Swanson Prize for Teaching Excellence. The award recognizes excellence in undergraduate teaching.

Class of 2024 | Paving Your Own Way

Emma Hughes came to CAPLA from Phoenix and found the BLA program amidst the COVID-19 pandemic. Hear about her CAPLA experience as part of the first BLA graduating class this May.

Green infrastructure plans need to consider historical racial inequalities

Urban planners increasingly are interested in green infrastructure projects for the health and climate benefits they bring to cities. But without attention to historical development patterns and existing power structures, such projects may not benefit all residents equally and may exacerbate social and racial inequalities, says a group of researchers and practitioners of nature-based solutions for urban areas.

The researchers outlined their recommendations for a justice-oriented approach to urban greening projects in a paper published in the journal Urban Forestry and Urban Greening .

"For the environmental and ecological questions, we have a pretty good handle on what we need to do. The questions that are the hardest and the most important for people to tackle are how to work well with communities, particularly marginalized communities," said Rebecca Walker, a co-lead author of the paper and a professor of urban and regional planning at the University of Illinois Urbana-Champaign.

The other lead authors of the paper are Kate Derickson, a professor of geography, environment and society at the University of Minnesota and the co-director of the CREATE Initiative to address equitable access to environmental amenities; and Maike Hamann, a lecturer in development and sustainability at the Centre for Geography and Environmental Science at the University of Exeter in the United Kingdom.

Green infrastructure can benefit the ecosystem in multiple ways, such as flood and heat mitigation, carbon storage and sequestration, and opportunities for recreation and improvement in mental and physical health, said the researchers. But urban landscapes are unequal in the distribution of environmental benefits and harms.

For example, water quality standards for rivers in St. Louis, Missouri, reflect the city's racial geographies, with waterways in white neighborhoods historically managed for recreation and those in Black neighborhoods historically managed for industrial uses. Today the water quality standards for bodies of water in white neighborhoods remain higher than for those in Black neighborhoods, according to the paper.

"Plans must contend with the histories of discriminatory policies and practices that produced underlying inequalities, and be attentive to the ways that contemporary efforts might reproduce or undermine the structures driving inequities in urban greenspace. This is true for new greenspace developments, as well as changes to existing urban nature," the researchers wrote.

A variety of disciplines need to contribute to urban green infrastructure, including those that ask questions about the social implications of ecological and economic projects, they said.

"If they are already disproportionately located near more advantaged communities, as we invest and expand in those areas, the inequities get doubled down," Walker said.

Among the factors that planners should consider is the scale of a project and how a particular community might be affected by a project, the researchers said. For example, a wetlands mitigation program in Mississippi allowed developers to fill in wetlands in one location while buying wetland mitigation credits elsewhere. Residents of the small, Black community of Turkey Creek, Mississippi, argued that the practice harmed their neighborhood, which was hit hard by Hurricane Katrina, by removing wetlands that could absorb stormwater.

"This suggests that … attempting to address large-scale issues (such as global climate change) cannot be done equitably without careful attention to local-scale issues (such as neighborhood flooding)," the researchers wrote.

Their research emphasizes the importance of building relationships with communities and accepting uncertainty about the outcomes of their work. While Derickson and Walker were working with a community on water quality and flooding issues, the community members repeatedly raised concerns about gentrification related to green infrastructure solutions. The researchers shifted their focus and developed an antigentrification toolkit offering ways to invest in urban greening without driving displacement of residents. Being open to ambiguity in defining a problem led to a new opportunity for their work to lead to justice-oriented policies, they said.

Finally, the researchers advocate for an approach that promotes modest projects that address the needs and priorities of a community's residents and allows them to help shape the projects over large developer-oriented infrastructure investments.

"While the uptake of urban green infrastructure represents a promising development in urban sustainability and development practices, it cannot be assumed that these projects will benefit all residents or promote urban equity. Indeed, the history of urban development and infrastructure projects shows that there is a tendency for such projects to consolidate benefits for powerful groups, often at the expense of the vulnerable or marginalized," the researchers wrote.

Sustainability
Environmental Issues
Air Quality
Urbanization
Land Management
Environmental Policies
Disaster Plan
Urban planning
Sustainable land management
Environmental impact assessment
Energy development
Timeline of environmental events
Environmental engineering
Social inequality

Story Source:

Materials provided by University of Illinois at Urbana-Champaign, News Bureau . Original written by Jodi Heckel. Note: Content may be edited for style and length.

Journal Reference :

Kate Derickson, Rebecca Walker, Maike Hamann, Pippin Anderson, Olumuyiwa Bayode Adegun, Adriana Castillo-Castillo, Anne Guerry, Bonnie Keeler, Liz Llewellyn, Austin Matheney, Nontsikelelo Mogosetsi-Gabriel, Seema Mundoli, Sumetee Pahwa Gajjar, Nadia Sitas, Linjun Xie. The intersection of justice and urban greening: Future directions and opportunities for research and practice . Urban Forestry & Urban Greening , 2024; 95: 128279 DOI: 10.1016/j.ufug.2024.128279

Cite This Page :

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