With FOCS submissions sent off and EC rejections in hand, its time to think about presenting your work at a workshop, and chat with your colleagues doing similar things.
If you are working on something at the intersection of algorithmic game theory and machine learning (this includes e.g. the sample complexity of auction design, or learning from revealed preferences, or learning from censored feedback), then you should consider the "Algorithmic Game Theory and Data Science" workshop that we'll be running during EC 2015. Conveniently, this is at FCRC, so if you were planning on attending EC or STOC (or SIGmetrics, or CCC, or...) you'll already be there in Portland.
Deadline is in 10 days!
https://sites.google.com/site/agtanddatascienceworkshop2015/
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Call for Papers
In conjunction with the Sixteenth ACM Conference on Economics and Computation (EC'15), we solicit submissions for the First Workshop on Algorithmic Game Theory and Data Science, to be held on June 15, 2015 in Portland, Oregon, USA.
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. Topics of interest include but are not limited to:
Submission Instructions
Any submission format between abstracts and full papers will be considered. Abstracts may be rejected if we cannot sufficiently evaluate their contribution. Full papers will be evaluated after page 10 only at the discretion of the committee.
We solicit both new work and work recently published or soon to be published in another venue. For submissions of the latter kind, authors must clearly state the venue of publication. This workshop will have no published proceedings. Papers appearing in published conference proceedings or journals subsequent to EC 2014 will be considered, though preference may be given to papers that have not yet appeared. Papers that have appeared or are to appear at EC or affiliated workshops will not be considered.
Authors are encouraged to provide a link to an online version of the paper (such as on arXiv). If accepted, such papers will be linked via an index to give an informal record of the workshop. All submissions should be sent electronically to AGTDataScienceWorkshop15@gmail.com on or before April 26th, 2015. Notification of acceptance will be on May 11, 2015.
Organizing Committee
Shuchi Chawla, U. of Wisconsin
Hu Fu, Microsoft Research
Jason Hartline, Northwestern U.
Denis Nekipelov, U. of Virginia
Aaron Roth, U. of Pennsylvania
Kane Sweeney, eBay and Stubhub
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