Welcome to the homepage for the CU Boulder Algorithmic Economics group! We are a collection of folks interested in and researching a broad range of topics in algorithmic economics and game theory, often with connections to machine learning. Our group meets weekly to discuss relevant papers or present research being done by folks here at CU Boulder.
For Spring 2024, we meet Tuesday at 11:00am-12:00pm in ECNW 150A.
Subscribe to our mailing list to receive more information about these weekly meetings (including the Zoom link), any upcoming talks that may be of interest to our community, and other useful tidbits.
We have created PhD student guidelines for new and prospective students.
Rafael Frongillo (he/him): theoretical machine learning, information elicitation, dynamical systems
Bo Waggoner (he/him): differential privacy, prediction markets, information aggregation, property elicitation
Robin Bowers (they/them): game theory/mechanism design, algorithmic fairness
Robby Green: voting theory, algebraic geometry
Dhamma Kimpara: economic networks, algorithmic fairness
Anish Thilagar: theoretical machine learning, game theory