Chess Multiverse Research
Last Updated: Sunday, January 25, 2026

Research Projects

Long-term initiatives focused on building open-source tools, standardized datasets, and analytical frameworks for the chess community.

Open Chess Data Standard (OCDS)

An initiative to standardize how chess research data is formatted. We are developing a JSON schema that extends PGN to include psychological metadata (move times, heart rate, eye tracking) for cross-study compatibility.

Infrastructure Open Source JSON Schema

Maia-Psych Bot

Training a specialized version of the Maia chess engine to predict "human error" rather than "best move." This project aims to create a training partner that replicates the specific blunder patterns of 1500-rated players.

AI / ML Neural Networks Training Tool

Tilt-Meter Analytics

Developing a browser extension that analyzes live play on Lichess/Chess.com to detect signs of "tilt" (emotional decision making) in real-time, alerting players to take a break.

Software Browser Ext Psychology