Real research,started in high school.Free.
Vector Research is a nonprofit that guides high school students from a first question to a finished project, then onto the competition stage. You don't need experience to start.
- Cost
- $0
- Who
- High schoolers
- Support
- Mentored
How a project moves
A mentor works with you through every stage, from picking a topic to answering a judge's last question.
- 01
Explore
Sample fields from computational biology to physics. Read real papers with a mentor until one of them hooks you.
Finding and Reading Research Papers - 02
Ask
Narrow a curiosity into a question you can answer with the data and tools you can reach.
From Idea to Research Question - 03
Learn
Pick up the methods your project needs. Machine learning comes first, and our guides cover the rest.
Python for Machine LearningMachine Learning FoundationsDeep Learning in PracticeAdvanced Machine Learning for Research - 04
Investigate
Run the study. Find or collect data, build the analysis, and keep a lab notebook you can defend.
Statistics for Research - 05
Present
Write it up, design the poster, rehearse the talk, and take it to science fairs and research competitions.
Writing, Posters and Presenting
Research shouldn't depend on who you know.
Too often, research in high school goes to students who already have a parent in a lab or can pay for a program. We think curiosity should be enough, so we charge nothing.
- Mentorship
- $0
- Learning guides
- $0
- Project and poster feedback
- $0
- Competition coaching
- $0
- You pay us
- $0.00
Some competitions charge their own entry fees. We'll help you find free ones and fee waivers.
Eight free guides, one for every stage
Each guide starts at zero and ends at the methods real researchers use. The first chapter of every guide is open to anyone, and applying (free) gives you a code that unlocks the rest.
We're new, so here's what you can count on
We don't have alumni results to show yet. These are the commitments we make to every student and family.
- We will never charge students for anything we provide.
- We will never sell or share your information.
- We won't promise awards or publications. We'll help you do work that could earn them.
- Parents and teachers can email us with any question, any time.
Your first project starts with one question
Tell us what you're curious about. The application is one Google Form, and there's no essay to polish.
What you'll do with us
Vector pairs high school students with mentorship, learning material, and a clear path through a real research project.
Who it's for
High school students in any grade, with or without a science or coding background.
What it costs
Nothing. There's no tuition, no materials fee, and nothing to buy to take part.
What you do
Pick a question, learn the methods, run the study, and present it at competitions.
What you leave with
- A research question that is yours, not assigned
- Working skills in the methods your project used
- A written paper and a competition-ready poster
- Practice presenting and answering judges' questions
- A project you can talk about in any interview
Guides that start at zero
Eight free guides written for high school students. Find the one for the stage you're in, or follow the machine learning track from your first line of code to a research-grade project.
Chapter 1 is open to everyone. The rest unlocks with a free code.
Read the first chapter of any guide right now. Apply to Vector Research, which is free, and the confirmation page shows an access code that unlocks all eight guides.
All eight guides are unlocked on this device. Open any guide and read straight through.
Find the guide for where you are
Every project moves through the same five stages. Each stage has a guide.
Explore
Find and read the research that hooks you.
Ask
Turn an interest into a question you can answer.
Learn
Pick up the methods your project needs.
- Python for Machine Learning
- Machine Learning Foundations
- Deep Learning in Practice
- Advanced Machine Learning for Research
Investigate
Analyze your data and know what it shows.
Present
Write it up, design the poster, face the judges.
From first line of code to a research-grade project
Four guides, read in order. Skip the first if you already code in Python.
- 1BeginnerPython for Machine LearningNever coded? Start here.
- Write Python from scratch
- Load and clean data with pandas
- Plot with Matplotlib
- 2CoreMachine Learning FoundationsThe models and habits every project needs.
- Train and compare classic models
- Test honestly and avoid leakage
- Run a full project end to end
- 3AdvancedDeep Learning in PracticeBuild and train neural networks in PyTorch.
- Write training loops that work
- Fine-tune pretrained vision and language models
- Debug a network that won't learn
- 4ResearchAdvanced Machine Learning for ResearchTurn a model into a study judges trust.
- Choose the right approach for your data
- Compare models with real statistics
- Report results to research standards
Run the code
Every code example runs in Google Colab, free in your browser. Type it out the first time; you'll remember it.
Answer the checks
Each chapter ends with a few questions. If you can answer them without looking back, move on.
Bring questions to your mentor
Mark anything confusing and bring it to your next meeting. Your mentor can tell you which chapters your project needs first.
Why Vector exists
A vector has a direction and a magnitude. We help students choose the direction and give them what they need to go far with it.
Most high schoolers never get near real research. The ones who do usually had a way in. We're building a way in for everyone else.
Equal access
Students shouldn't need a parent in a lab, a paid program, or a famous school to do research. Vector is free and open to every high school student.
Real research
Students work on original questions and finish with something they can present and defend. No worksheets dressed up as projects.
Learning by doing
You learn machine learning and scientific methods because your project needs them, which is the fastest way they stick.
Mentors who stay
Guidance continues from the first brainstorm to the last question from a judge.
Questions from students and parents
For students
Do I need to know how to code?
No. The Python for Machine Learning guide starts from your first line of code, and your mentor helps you learn only what your project needs.
What fields can I research?
Projects lean toward computational science and machine learning, applied to areas like biology, medicine, and physics. If you have an idea outside that, tell us in your application.
Which competitions do students enter?
Regional and state science fairs, plus national research competitions. Your mentor helps you choose ones that fit your project and timeline.
Will I get published?
We can't promise it. Publication depends on the work and the journal. We'll help you write a paper that's ready to submit if your results support it.
For parents and teachers
Is it really free?
Yes. Vector Research is a nonprofit and doesn't charge students for anything it provides. Some outside competitions charge their own entry fees, and we help students find free ones and fee waivers.
How do I contact you?
Email contact@vectorresearch.org. Parents, teachers, and counselors are all welcome to write.
I'm a teacher. How can I share this?
Share this page with any curious student, or email us and we'll send a short description you can pass along.