Research Topics for High School Students: 45 Ideas by Field
What makes a good brand book?
Sed viverra ipsum nunc aliquet bibendum enim facilisis gravida. Diam phasellus vestibulum lorem sed risus ultricies. Magna sit amet purus gravida quis blandit. Arcu cursus vitae congue mauris. Nunc mattis enim ut tellus elementum sagittis vitae et leo. Semper risus in hendrerit gravida rutrum quisque non. At urna condimentum mattis pellentesque id nibh tortor. A erat nam at lectus urna duis convallis convallis tellus. Sit amet mauris commodo quis imperdiet massa. Vitae congue eu consequat ac felis.
Lorem ipsum dolor sit amet consectetur hendrerit gravida rutrum.
A erat nam at lectus urna duis convallis convallis tellus.
Arcu cursus vitae congue mauris mattis enim ut tellus elementum sagittis vitae et leo.
Magna sit amet purus gravida quis blandit cursus congue mauris mattis enim.
How to create a good brand book?
Vestibulum lorem sed risus ultricies. Magna sit amet purus gravida quis blandit. Arcu cursus vitae congue mauris. Nunc mattis enim ut tellus elementum sagittis vitae et leo. Semper risus in hendrerit gravida rutrum quisque non.
Bibendum est ultricies integer quis. Semper eget duis at tellus.
Important elements of a good design brand book
Eget aliquet nibh praesent tristique magna sit amet purus. Consequat id porta nibh venenatis cras sed felis. Nisl rhoncus mattis rhoncus urna neque viverra justo nec. Habitant morbi tristique senectus et netus et malesuada fames ac. Et tortor consequat id porta nibh venenatis cras sed felis. Fringilla est ullamcorper eget nulla facilisi. Mi sit amet mauris commodo quis. Eget arcu dictum varius duis at consectetur lorem.Venenatis cras sed felis eget velit
Magna eget est lorem ipsum dolor.
Enim lobortis scelerisque fermentum dui. Fringilla ut morbi tincidunt augue.
Nascetur ridiculus mus mauris vitae.
Egestas sed tempus urna et pharetra pharetra massa massa ultricies.
What brand book references can I use?
Mattis molestie a iaculis at. Volutpat est velit egestas dui id. Suspendisse potenti nullam ac tortor vitae purus faucibus. Aliquet nibh praesent tristique magna sit amet purus gravida. Volutpat blandit aliquam etiam erat velit scelerisque in dictum. Potenti nullam ac tortor vitae purus faucibus ornare suspendisse sed. Aliquet bibendum enim facilisis gravida neque convallis. Malesuada nunc vel risus commodo viverra maecenas. Varius sit amet mattis vulputate enim nulla aliquet.
“Sed viverra ipsum nunc aliquet bibendum enim facilisis gravida. Diam phasellus vestibulum lorem sed risus ultricies. Magna sit amet purus gravida quis blandit. Arcu cursus vitae congue mauris.“
A brand book can always keep evolving
Tortor dignissim convallis aenean et tortor at risus. Condimentum vitae sapien pellentesque habitant morbi tristique senectus et netus. Dui nunc mattis enim ut tellus elementum sagittis vitae et. Quis imperdiet massa tincidunt nunc pulvinar sapien et.
The hardest part of doing research in high school isn't the research. It's picking a topic that is narrow enough to finish, deep enough to be interesting, and doable without a lab. Below are 45 topics across six fields, each written as a starting question rather than a vague subject, because a question is what turns "I like neuroscience" into a paper.
Every field on this list is one our students have researched one-on-one with PhD mentors from universities like Princeton, Stanford, Columbia and UC Berkeley.
Before the list, three tests. A topic passes if you can answer yes to all three:
Can you finish it in about three months? Most high school research is a literature-based review or a small computational or mathematical project. "Cure Alzheimer's" fails. "What does current evidence say about how sleep affects memory consolidation in teenagers?" passes.
Can you do it without a wet lab? Published papers, public datasets, simulations, and math are all fair game. Plenty of strong student papers are reviews of existing research.
Does it actually interest you? You'll read many papers on it. Pick the one you'd read about anyway.
Students in our program don't need a topic before they start. They explore for the first few weeks and lock in a research question by the end of week four.
Biology and medicine
How do CRISPR-based therapies decide which cells to edit, and what are the main off-target risks?
Why do some lung cancers respond to immunotherapy while others don't?
How could hydrogels help bones heal after a fracture?
What does the gut microbiome have to do with cancer risk?
How do mRNA vaccines differ from traditional vaccines in how they train the immune system?
What is the current evidence on how social factors like income and housing affect health outcomes?
How do bacteria become resistant to antibiotics, and which new approaches look most promising?
What can organoids ("mini-organs" grown from stem cells) do that animal models can't?
Neuroscience and psychology
How is a memory physically stored in the brain, and can a false memory be created?
What happens in the brain during the early stages of dementia?
How do neurons communicate, and what goes wrong in epilepsy?
How does sleep deprivation affect learning in teenagers?
What does neuroscience say about addiction: is it nature, nurture, or both?
How do brain-computer interfaces read signals from the brain?
Why does the teenage brain take more risks?
Computer science and AI
How does a neural network actually learn, and why does it sometimes fail?
How does a robot vacuum know where it is? (Simultaneous localization and mapping, or SLAM.)
How do computer vision models recognize objects, and how can they be fooled?
Can machine learning predict which patients will respond to a treatment?
How do large language models generate text, and why do they make things up?
How can software be mathematically proven correct? (Formal verification.)
How does linear algebra make computer animation possible?
What are the main sources of bias in AI hiring or lending tools?
Physics and astronomy
What can gravitational waves tell us about merging black holes and neutron stars?
How did the early universe go from a hot plasma to galaxies?
How does light behave near a black hole?
Why are quantum computers so hard to build? (Quantum decoherence.)
How do solar panels convert light to electricity, and what limits their efficiency?
What physics determines how a car handles in a turn?
Why does the heat equation show up everywhere, from cooking to finance?
Chemistry and energy
How are new drugs designed, and how do computers speed it up?
What are the trade-offs between lithium-ion and solid-state batteries?
How does policy shape the growth of renewable energy?
Can captured carbon dioxide be turned into something useful?
How do enzymes speed up reactions, and how are they engineered for industry?
What makes some plastics biodegradable and others not?
How do catalytic converters work, and what replaces them in electric vehicles?
Mathematics and economics
What are Catalan numbers, and why do they show up in so many counting problems?
How can game theory model insider trading or other market behavior?
What does network science reveal about how diseases or ideas spread?
How are music and mathematics connected?
How does abstract algebra explain the symmetries of a Rubik's cube?
Why do some differential equations have no exact solution, and how do we approximate them?
How do sports teams use statistics to evaluate players?
A topic is a subject ("CRISPR"). A research question is something your paper answers ("What are the main sources of off-target edits in CRISPR-Cas9, and which newer methods reduce them?"). To get from one to the other:
Read two or three recent review articles on the topic. Google Scholar and PubMed are free. Reviews summarize a field and point to where the open questions are.
Look for the disagreement. Where do researchers say "it's unclear" or "further work is needed"? That's where your question lives.
Narrow by one dimension: one population (teenagers), one method (machine learning), one disease, one time period, or one comparison (A vs. B).
Test it against the three rules above. If it fails one, narrow again.
Most high school research papers fall into one of three types:
Literature review: you read and synthesize the published research on a question and argue what it shows. This is the most common and fully legitimate format.
Computational project: you analyze a public dataset, build a model, or run a simulation.
Mathematical exploration: you work through a theory, prove results, or apply a method to a new case.
All three need the same core skills: reading research critically, structuring an argument, and writing clearly. That's what students tell us they gained most. As one put it, the program "emphasized how to ask meaningful questions, seek evidence, and approach problems from multiple angles."
In the STEM Research Program, high school students work one-on-one with a PhD mentor from a top-20 university for 12 weeks, online. You pick the field, your mentor builds a syllabus around your interests, and together you go from a broad topic to a finished research paper, plus a written evaluation from your mentor.
"This program was an amazing opportunity to learn about a field that I was interested in but unfamiliar with." — learnSTEM student