The most salient application area for algorithmic game theory has always been that of Internet technology companies. For example, a large fraction of AGT research papers come from research labs at Microsoft, Google, Yahoo, Facebook, eBay, etc. Just as many other aspects of computing have become more data driven, so will the economics of computation. There are, however, unique challenges in treating data arising from game theoretic behavior. Algorithmic game theory has a very important role to play in addressing these challenges and in data science broadly.
The Workshop on Algorithmic Game Theory and Data Science is taking place on Monday, June 15, 2015 in Portland, Oregon in conjunction with the ACM Conference on Economics and Computation (EC’15) and FCRC. My coorganizers and I are delighted to have gotten diverse and strong submissions and we have a fantastic contributed program. The schedule and talk abstracts are on the workshop webpage. In addition to the contributed program the workshop will include:
- 1:55-2:20: Break for presentation of Dwork et al.’s Preserving Statistical Validity in Adaptive Data Analysis at STOC’15.
- 2:25-3:00: Five lightning talks of AGT+DS papers to appear at EC’15.
- 4:30-5:30: Invited talk by Kevin Leyton-Brown on “Modeling Human Play in Unrepeated Games”.
We hope to see many of you there, and we hope to see much more research at the intersection of intersection of computation, economics, and data science.