Dear colleagues:

In conjunction with the Eighteenth ACM Conference on Economics and Computation (EC'17), we solicit submissions for the Third Workshop on Algorithmic Game Theory and Data Science, to be held on June 26, 2017 in Cambridge, Massachusetts.

Computer systems have become the primary mediator of social and economic interactions, enabling transactions at ever-increasing scale. Mechanism design when done on a large scale needs to be a data-driven enterprise. It seeks to optimize some objective with respect to a huge underlying population that the mechanism designer does not have direct access to. Instead, the mechanism designer typically will have access to sampled behavior from that population (e.g. bid histories, or purchase decisions). This means that, on the one hand, mechanism designers will need to bring to bear data-driven methodology from statistical learning theory, econometrics, and revealed preference theory. On the other hand, strategic settings pose new challenges in data science, and approaches for learning and inference need to be adapted to account for strategization. The goal of this workshop is to frame the agenda for research at the interface of algorithms, game theory, and data science.

Papers from a rich set of experimental, empirical, and theoretical perspectives are invited. Some questions at this interface that the workshop will explore are: - Can good mechanisms be learned by observing agent behavior in response to other mechanisms?
- What is the sample complexity of mechanism design?
- How does mechanism design affect inference?
- How does inference affect mechanism design?
- Can tools from computer science and game theory be used to contribute rigorous guarantees to interactive data analysis?

Submission deadline: May 10, 2017
Notification of acceptance: May 18, 2017
Workshop: June 26, 2017
ACM EC Conference: June 26-30, 2017

Submission instructions and more information at:

Jean Honorio, Purdue
Denis Nekipelov, U. of Virginia
Renato Paes Leme, Google Research
Yaron Singer, Harvard
Vasilis Syrgkanis, Microsoft Research
Elie Tamer, Harvard

For any question, please contact us at:

Best regards,

uai mailing list

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