License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagRep.9.9.45
URN: urn:nbn:de:0030-drops-118445
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2020/11844/
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Grandi, Umberto ; Napel, Stefan ; Niedermeier, Rolf ; Venable, Kristen Brent
Weitere Beteiligte (Hrsg. etc.): Umberto Grandi, Stefan Napel, Rolf Niedermeier, and Kristen Brent Venable

Application-Oriented Computational Social Choice (Dagstuhl Seminar 19381)

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dagrep_v009_i009_p045_19381.pdf (4 MB)

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.

BibTeX - Entry

@Article{grandi_et_al:DR:2020:11844,
  author =	{Umberto Grandi and Stefan Napel and Rolf Niedermeier and Kristen Brent Venable},
  title =	{{Application-Oriented Computational Social Choice (Dagstuhl Seminar 19381)}},
  pages =	{45--65},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2020},
  volume =	{9},
  number =	{9},
  editor =	{Umberto Grandi, Stefan Napel, Rolf Niedermeier, and Kristen Brent Venable},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2020/11844},
  URN =		{urn:nbn:de:0030-drops-118445},
  doi =		{10.4230/DagRep.9.9.45},
  annote =	{Keywords: ai for the social good, collective decision making, multi-agent systems, social choice}
}

Keywords: ai for the social good, collective decision making, multi-agent systems, social choice
Collection: Dagstuhl Reports, Volume 9, Issue 9
Issue Date: 2020
Date of publication: 19.02.2020

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