Computation and Incentives in Social Choice: (Dagstuhl Seminar 12101)

Edith Elkind, Christian Klamler, Jeffrey S. Rosenschein, M. Remzi Sanver

Research output: Contribution to journalArticlepeer-review


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.
Original languageEnglish
Article number3
Pages (from-to)1-22
Number of pages22
JournalDagstuhl Reports
Issue number3
StatePublished - 25 Jun 2012


  • Computational Social Choice
  • Voting
  • Incentives
  • Algorithmic Game Theory
  • Fair Division


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