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Welcome to the homepage for the ¾«Æ·SMÔÚÏßӰƬ Algorithmic Economics group! We are a collection of students, faculty, and community members interested in and researching a broad range of topics in algorithmic economics and game theory, often with connections to machine learning.

The algorithmic economics reading group is open to all, and meets weekly to discuss relevant papers or present research being done by folks here at ¾«Æ·SMÔÚÏßӰƬ.  There is also an optional 1-credit class, , for students seeking academic credit.
For Summer 2025, we meet °Õ³Ü±ð²õ»å²¹²â²õÌýat 12:00pm MTÌý¾±²Ô ECOT 831.
For Fall 2025, we will meet Fridays at 12:20pm MT in DLC 1B20.

Subscribe to our  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  for new and prospective students.

Faculty

 (he/him): theoretical machine learning, information elicitation, game-theoretic probability
 (he/him): differential privacy, prediction markets, information aggregation, property elicitation

Students

 (they/them): game theory/mechanism design, algorithmic fairness

Robby Green: voting theory, algebraic geometry

Drona Khurana
Elias Lindgren

Former

: theoretical machine learning, game theory
: economic networks, algorithmic fairness
: economic networks, graphical games, dynamical systems
: property elicitation, mechanism design, algorithmic fairness
Emma Goodwill
Sam Williams