Build and launch your own AI research project
A 7-week program where students learn Python and machine learning, conduct real academic research on a topic they choose, and build a capstone project that answers their research question.
What every student produces
Literature review
Each student writes their own section, built from sources found in research databases and organized from an outline into synthesized paragraphs.
Outline wk 4 · Draft wk 5Capstone project
An AI prototype or technical solution that addresses the team's research question: a model, game, simulation, chatbot or comparison.
Launched wk 4 · Built wks 4–6Research poster & presentation
Background, Methods & Solution, Discussion, Conclusion, and Resources, presented at the end-of-program research symposium.
Poster wk 6 · Symposium wk 7Week by week
Each week pairs an AI & machine learning session with a research methods session. Bold items are deliverables.
- Train and upload a Teachable Machine model (no code)
- Data Detective and Data Expedition dataset activities
- Python basics
- Research slide activity: what research looks like
- Supplemental reading and practice
- Python basics, continued (partner notebook)
- Exploratory data analysis and linear regression on Ames Housing data
- Finding your topic
- Developing a research question
- Learn about your topic
- How to read a research paper
- Polynomial regression
- Mean squared error walkthrough in Colab on California Housing data
- Overfitting vs. underfitting
- Technical solution idea
- Source hunting with research databases
- Note cards for each source
- Drafting your own section
- Capstone project launch (AI/ML and chatbot groups)
- Track your methods: a running build log
- Refined research plan and group topics
- Literature review outline
- Capstone build with volunteer mentors
- Scientific writing practice: single-source, stacked-agreement and contrasting-source paragraphs
- Literature review draft
- Finish capstone builds and collect results
- Research poster
- Poster writing guide with sentence starters
- Final capstone demos
- Research symposium presentations
- Student feedback survey
Summer 2026 flyer
The flyer families saw when registering: 14 live sessions, office hours and a research symposium, with a capstone that moves from a refined research plan to a literature review, an AI prototype or technical solution, and a research poster and presentation.
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Student projects
Each team pairs a research question with a capstone build. Every project links to its literature review, research poster and build.