天行加速器免费官网
The EconCS Group pursues research, both theoretical and experimental, at the intersection between computer science and economics.
The EconCS group at the Harvard John A. Paulson School of Engineering and Applied Sciences draws on methodologies from AI, multi-agent systems, computer science theory, microeconomic theory, optimization and distributed systems.
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.
Current Topics of Interest
- incentive-based environment design
- 老王vpm2.2.8下载安卓版
- the design of mechanism infrastructures and currencies for distributed and peer-to-peer systems
- preference elicitation
- information aggregation
- applications to e-commerce and social computing
- 手机上这么好用的功能 你用过吗? - huanqiu.com:2021-9-30 · 十几年前,还是功能机的时伋,相信很多人都会觉得用手机拍照、听歌伍及上网都是很新奇的事情。然而,现在的手机拥有了越来越多新奇有趣的 ...
- network formation games
天行加速器免费官网
- Eric Mibuari and Mark York are finalists for the Facebook-funded Global Challenges in Economics and Computation research grant.
- Congratulations to Hongyao Ma (advisor David Parkes), winner of the 2023 SIGecom Doctoral Dissertation Award, which recognizes an outstanding dissertation in the field of economics and computation, as well as to Rediet Abebe (advisor Jon Kleinberg, Cornell) and Eric Balkanski (advisor Yaron Singer) for honorable mentions.
- Alon Eden got an honorable mention for EC 2023 Award for Best Presentation by a Student or Postdoctoral Researcher.
- Haifeng Xu PhD dissertation received honorable mention for the ACM SIGecom Doctoral Dissertation Award, which is to recognize the outstanding dissertation in the field of economics and computation.
- Max Kleiman-Weiner won the the Robert J. Glushko Dissertation/Ph.D. Thesis Prize in Cognitive Science.
- Haifeng Xu was nominated as the runner-up of the IFAAMAS-18 Victor Lesser Distinguished Dissertation Award, recognizing the best thesis in multi-agent system research.