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

The foundational reading and the course that brings it to life.

Textbook

Concepts, theory, and core problems for AI measurement science. Free and open access.

Course

Lecture materials, readings, and structured context for learning measurement science at Stanford.

Practice and tools

Where ideas meet data. Compete on shared benchmarks or build with open-source tools.

Competition

Compare methods on a shared evaluation matrix. Public leaderboard, open submissions.

Software & Data

Open-source PyTorch tools, a curated evaluation data bank, and interactive apps for rigorous measurement — all in one place.

Validity Analyzer

An interactive validity analyzer — inspect benchmark item behavior, reliability, and what a score actually measures.

Stay connected

Follow progress, join the conversation, and catch up on what has shipped.

Newsletter

Updates on new readings, software releases, and ways to get involved. Sent when it matters.

Chat

Real-time discussion about measurement science, course material, and open problems.

News

A running timeline of launches, milestones, and project updates.