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.
@Article{grandi_et_al:DagRep.9.9.45, author = {Grandi, Umberto and Napel, Stefan and Niedermeier, Rolf and Venable, Kristen Brent}, 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 = {Grandi, Umberto and Napel, Stefan and Niedermeier, Rolf and Venable, Kristen Brent}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/DagRep.9.9.45}, 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} }
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