Textbook
AIMS textbook
Concepts, theory, and core problems for AI measurement science. Free and open access.
Resources
Everything AIMS offers, in one place.
The textbook, the course, the competition, the tools, and the community channels. Pick a starting point.
Core materials
Core materials
The foundational reading and the course that brings it to life.
Course
CS321M course hub
Lecture materials, readings, and structured context for learning measurement science at Stanford.
Practice and tools
Practice and tools
Where ideas meet data. Compete on shared benchmarks or build with open-source tools.
Competition
Predictive evaluation competition
Compare methods on a shared evaluation matrix. Public leaderboard, open submissions.
Software
Software and libraries
Open-source PyTorch tools for psychometric modeling, adaptive testing, and rigorous evaluation.
Stay connected
Stay connected
Follow progress, join the conversation, and catch up on what has shipped.
Newsletter
Newsletter
Updates on new readings, software releases, and ways to get involved. Sent when it matters.
Chat
Discord
Real-time discussion about measurement science, course material, and open problems.
News
News archive
A running timeline of launches, milestones, and project updates.