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Application-Oriented Computational Social Choice (Dagstuhl Seminar 19381)

Authors Umberto Grandi, Stefan Napel, Rolf Niedermeier, Kristen Brent Venable and all authors of the abstracts in this report

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Keywords
  • ai for the social good
  • collective decision making
  • multi-agent systems
  • social choice

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Abstract

This report documents the program and the outcomes of Dagstuhl Seminar 19381 ``Application-Oriented Computational Social Choice''.
The seminar was organised around four focus topics: group recommender systems, fair allocation, electoral systems, and interactive democracy. For each topic, an invited survey was given by one of the participants. 
26 participants presented their research in a regular talk, and two rump sessions allowed other participants to present their ongoing work and open problems in short talks. A special session was dedicated to software demonstrations, and 3 voting experiments were run during the seminar, also thanks to a mobile experimental laboratory that was brought to Dagstuhl. Finally, three afternoons were dedicated to group works.

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Umberto Grandi, Stefan Napel, Rolf Niedermeier, and Kristen Brent Venable. Application-Oriented Computational Social Choice (Dagstuhl Seminar 19381). In Dagstuhl Reports, Volume 9, Issue 9, pp. 45-65, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020) https://doi.org/10.4230/DagRep.9.9.45

Author Details

Umberto Grandi
Stefan Napel
Rolf Niedermeier
Kristen Brent Venable
and all authors of the abstracts in this report
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