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We are interested in electronic auctions, mechanisms and markets, peer production and social computing, and in the constructive use of economic methodologies within computational systems.
A central challenge is to resolve conflicts between game-theoretic and computational constraints.
Welcome
The EconCS Group at Harvard pursues research, both theoretical and experimental, on artificial intelligence and algorithms for social and economic impact.
The group has traditionally focused on the interface between computer science and economics; in recent years the scope has expanded beyond economics to disciplines such as political science and public health.
Latest News
Paper selected as the Exemplary AI Track Paper in ACM EC’24
GemNet: Menu-Based, Strategy-Proof Multi-Bidder Auctions Through Deep Learning, by David Parkes, Tonghan Wang and Jeff Jiang, was selected as the Exemplary AI Track Paper in ACM EC’24. https://ec24.sigecom.org/program/main-technical-program/index.html
Reveal Planning Capability of Autoregressive Learning in Large Language Models
Time & Location: March 29, Friday, 1:30pm - 2:30 pm, at SEC 1.413 1st Speaker: Shi Feng (Harvard) Title: Reveal Planning Capability of Autoregressive Learning in Large Language Models Abstract: Search and planning are fundamental constructs of human...
Greg Kehne wins a Siebel Scholarship
Congratulations to Greg Kehne for winning a 2023 Siebel Scholarship.
