Announcing NetEcon 2015

I’ve posted before about the growing overlap in topics between the EC & Sigmetrics communities.  Increasingly, the conferences are having sessions on very similar topics, but looking at the topics with very different perspectives.  This was especially true for last year’s conferences.  While some folks manage to cross the boundaries between these two communities, for the most part this has proven difficult (at least for my attempts)…

I think there’s a lot of value in finding ways to bring folks from these two communities together, which is one reason why I’m happy to announce NetEcon 2015, which I’m co-chairing with Patrick Loiseau and Aaron Roth.  NetEcon is a workshop with a long history of bridging CS and Economics, and this year we’re hoping to take advantage of the fact that Sigmetrics and EC are co-located as part of FCRC to bring those two communities together as well.

To highlight this, we have three exciting keynotes lined up.  One from Economics (Rakesh Vohra), one from the EC community (Eva Tardos), and one from the Sigmetrics community (R. Srikant).  Additionally, to be consistent with the differing publication styles across the communities, we will allow accepted papers to have a 1-page abstract appear in the proceedings in order to ensure that the full version of the papers can be published in other venues without issue.

So, there’s no excuse not to send in your best on-going paper or work-in-progress!

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4 thoughts on “Announcing NetEcon 2015

  1. This is great news. My colleague and I just started working on an problem in this “overlapping area”. NetEcon seems a perfect venue where we could submit our work-in-progress to. :)

    • Sure thing… I think they are overlapping but that one is definitely not a subset of the other. Their focuses are very different. NetEcon focuses on how strategic interactions that somehow involve networks (networked markets, games over networks, pricing in networked settings, etc.) On the other hand, The AGT+Data Science workshop is looking very specifically at the interaction of strategic models and data. So, of course, if the paper is looking at data in the context of networked markets, it’d be relevant to both…

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