On behalf of the organizers:
The Second Workshop on Algorithmic Game Theory and Data Science
https://sites.google.com/site/agtanddatascienceworkshop2016
(with the Conference on Economics and Computation)
July 24, 2016, Maastricht, the Netherlands
From the CFP: “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.”
The workshop is organized by Richard Cole (NYU), Brad Larsen (Stanford U), Kevin Leyton-Brown (UBC), Balasubramanian Sivan (Google Research), and Vasilis Syrgkanis (Microsoft Research). All submissions should be sent electronically to AGTDataScienceWorkshop16@gmail.com on or before May 20, 2016.
Turing's Invisible Hand 
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