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SIGecom job market candidate profiles 2017

SIGecom job market candidate profiles 2017 SIGecom Job Market Candidate Profiles 2017 Edited by VASILIS GKATZELIS and JASON HARTLINE This is the second annual collection of profiles of the junior faculty job market candidates of the SIGecom community. The twenty four candidates for 2017 are listed alphabetically and indexed by research areas that define the interests of the community. The candidates can be contacted individually or via the moderated mailing list ecom-candidates2017@acm.org. Fig. 1. Generated using the research summaries of the candidates. Contents Simina Br^nzei a game theory, algorithms, computational fair division, markets . . . . . Mithun Chakraborty algorithmic economics, computational social science, machine learning Yu Cheng signaling, persuasion, equilibrium computation, sparse Newton's method Ilan Cohen mechanism design, dynamic posted price schemes . . . . . . . . . . . . . Riccardo Colini-Baldeschi auctions with budgets, double auctions, revenue, matching markets . . Rachel Cummings data privacy, mechanism design, learning theory . . . . . . . . . . . . . . Argyrios Deligkas game theory, equilibrium computation, approximation algorithms . . . Alice Gao information elicitation, peer evaluation, wisdom of crowds, experiments · V. Gkatzelis, and J. Hartline Chien-Ju Ho crowdsourcing, game theory, machine http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM SIGecom Exchanges Association for Computing Machinery

SIGecom job market candidate profiles 2017

ACM SIGecom Exchanges , Volume 15 (1) – Sep 6, 2016

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Publisher
Association for Computing Machinery
Copyright
Copyright © 2016 by ACM Inc.
ISSN
1551-9031
DOI
10.1145/2994501.2994502
Publisher site
See Article on Publisher Site

Abstract

SIGecom Job Market Candidate Profiles 2017 Edited by VASILIS GKATZELIS and JASON HARTLINE This is the second annual collection of profiles of the junior faculty job market candidates of the SIGecom community. The twenty four candidates for 2017 are listed alphabetically and indexed by research areas that define the interests of the community. The candidates can be contacted individually or via the moderated mailing list ecom-candidates2017@acm.org. Fig. 1. Generated using the research summaries of the candidates. Contents Simina Br^nzei a game theory, algorithms, computational fair division, markets . . . . . Mithun Chakraborty algorithmic economics, computational social science, machine learning Yu Cheng signaling, persuasion, equilibrium computation, sparse Newton's method Ilan Cohen mechanism design, dynamic posted price schemes . . . . . . . . . . . . . Riccardo Colini-Baldeschi auctions with budgets, double auctions, revenue, matching markets . . Rachel Cummings data privacy, mechanism design, learning theory . . . . . . . . . . . . . . Argyrios Deligkas game theory, equilibrium computation, approximation algorithms . . . Alice Gao information elicitation, peer evaluation, wisdom of crowds, experiments · V. Gkatzelis, and J. Hartline Chien-Ju Ho crowdsourcing, game theory, machine

Journal

ACM SIGecom ExchangesAssociation for Computing Machinery

Published: Sep 6, 2016

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