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The Problem Genome is an experimental human–AI collaboration project at Dartmouth. It points people choosing their next project toward the domain expertise behind numerous unsolved problems across fields: what has been tried and failed, what it will take to solve them, and where a student or team could start. From there, they can learn the terminology fast, cross-check sources, spot weak claims and thin data, and make the most of their time in the field or with experts.
Open data, licensed CC BY-SA 4.0 · How to cite the collection · Advice for student teams
Or start with this one. It is a real, open problem from an expert source.
600+ problems and counting · 19 families · 80 genes · all real · sources checked at intake · 258 read line by line against their sources · 3 flagged for deeper sourcing · all open
Say what kind of challenges you like and how far your team should get in a term. We will show six problems that fit.
Looking across every field. To narrow it, choose a field at the top of the page.
What kind of challenge do you like?what holds the problem back most
How far should your team get in a semester?
Which workbenches do you want to work at?the kinds of systems the problem involves. Optional.