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Computation and Incentives in Social Choice (Dagstuhl Seminar 12101) Elkind, Edith Klamler, Christian Rosenschein, Jeffrey S. Sanver, M. Remzi Computational Social Choice Voting Incentives Algorithmic Game Theory Computational social choice is an active research area that combines tools and techniques of theoretical computer science and AI with those of mathematics, social sciences and economics. The aim of the Dagstuhl Seminar 12101 ``Computation and Incentives in Social Choice'' was to bring together the experts in these areas in order to discuss recent advances in this field and share open problems. This report collects the material presented during the course of the seminar. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Edith Elkind and Christian Klamler and Jeffrey S. Rosenschein and M. Remzi Sanver 2012 Is Part Of Dagstuhl Reports, Volume 2, Issue 3 (2012) Article Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/DagRep.2.3.1 urn:nbn:de:0030-drops-35322 https://drops.dagstuhl.de/entities/document/10.4230/DagRep.2.3.1 eng https://creativecommons.org/licenses/by-nc-nd/3.0/legalcode