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Application-Oriented Computational Social Choice (Dagstuhl Seminar 19381) Grandi, Umberto Napel, Stefan Niedermeier, Rolf Venable, Kristen Brent ai for the social good collective decision making multi-agent systems social choice 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. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Umberto Grandi and Stefan Napel and Rolf Niedermeier and Kristen Brent Venable 2020 Is Part Of Dagstuhl Reports, Volume 9, Issue 9 (2020) Article Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/DagRep.9.9.45 urn:nbn:de:0030-drops-118445 https://drops.dagstuhl.de/entities/document/10.4230/DagRep.9.9.45 eng https://creativecommons.org/licenses/by/3.0/legalcode