Research Projects
Long-term initiatives focused on building open-source tools, standardized datasets, and analytical frameworks for the chess research community.
Chess Multiverse Error Explorer
A high-performance, serverless client-side application built with DuckDB WASM. It allows researchers to interactively query the millions of rows in the CMEED dataset directly in the browser, visualizing the relationship between engine evaluations and human blunder rates.
Human Fallibility Matrix (CMEED Integration)
Developing a robust framework to map and categorize human error in chess. This project isolates cognitive failure points by comparing human move selections against engine-predicted optimal lines in complex mid-game positions, utilizing the CMEED dataset as its core foundation.
Opening Intelligence Database
An engine-agnostic approach to measuring opening viability. We evaluate opening success based on human-centric performance metrics and practical win-rates parsed from a targeted 20-million game subset of Lichess data, challenging pure engine evaluation scores.
Algorithmic Mimicry Study
Investigating how long-term reliance on evaluation engines fundamentally restructures human positional intuition and suppresses baseline tactical creativity in intermediate and advanced players.
Cognitive Aging & Biomarkers
Tracking variance in calculation loops, endurance drops, and spatial memory patterns across distinct age brackets to evaluate chess performance as a neuro-biomarker for early cognitive decline.
Chronobiology Optimization
Isolating how circadian cycles, sleep architectures, and natural chronotypes impact competitive mental fatigue and vulnerability to tactical blunders across varying time controls.
Spatial Geometry Mapping
Decoding how human visual calculation loops project coordinates and process structural vector transformations across asymmetric pawn centers and non-linear piece paths (like knight matrices).
Next Initiative...
We are constantly expanding our research scope. If you have an idea for a new research project, dataset, or software tool to explore within the Chess Multiverse ecosystem, we invite you to reach out.