INFORMS Open Forum

Upcoming ACM Conference on Economics and Computation 2020

  • 1.  Upcoming ACM Conference on Economics and Computation 2020

    Posted 06-13-2020 08:58

    Economics and Computation 2020

    EC 2020 will be held virtually with events from June 15 to July 22 (details of virtual format).  Participation by members of related fields is strongly encouraged.  

    Since 1999 the ACM Special Interest Group on Economics and Computation (SIGecom) has sponsored the leading scientific conference on advances in theory, empirics, and applications at the interface of economics and computation. The 21st ACM Conference on Economics and Computation (Virtual EC 2020) will feature invited speakers, a highlight of papers from other conferences and journals, a technical program of submitted paper presentations and posters, workshops, and tutorials.  

    Registration is mandatory (register here) but complimentary with SIGecom membership of $10 ($5 for students).  Details on joining EC events will be emailed to registered participants.

    An overview of the schedule:

    July 13: Tutorial Watch Parties, Business Meeting, and Poster Session
    July 14 - 16: EC Conference (Paper Watch Parties, Paper Poster Sessions, and Plenaries).
    July 17 - 22: Workshops.

    Areas of interest include, but are not limited to:
    Design of economic mechanisms: algorithmic mechanism design; market design; matching; auctions; revenue maximization; pricing; fair division; computational social choice; privacy and ethics.
    Game theory: equilibrium computation; price of anarchy; learning in games.
    Information elicitation and generation: prediction markets; recommender, reputation and trust systems; social learning; data markets.
    Behavioral models: behavioral game theory and bounded rationality; decision theory; computational social science; agent-based modeling.
    Online systems: online advertising; electronic commerce; economics of cloud computing; social networks; crowdsourcing; ridesharing and transportation; labor markets; cryptocurrencies; industrial organization.
    Methodological developments: machine learning; econometrics; data mining.


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    Benjamin Lubin (Secretary, Auctions and Market Design Section)
    Boston University
    Boston MA
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