Computational Social Choice: Research & Development

Computational social choice (COMSOC) studies principled ways to aggregate conflicting individual preferences into collective decisions. In this paper, we call for an increased effort towards Computational Social Choice: Research & Development (COMSOC-R&D), a problem-driven research agenda that explicitly aims to design, implement, and test collective decision-making systems in the real world. We articulate the defining features of COMSOC-R&D, argue for its value, and discuss various roadblocks and possible solutions.

Authors

• Dorothea Baumeister HS Bund, Federal University of Applied Administrative Science
• Ratip Emin Berker Carnegie Mellon University
• Niclas Boehmer Hasso Plattner Institute, University of Potsdam
• Sylvain Bouveret Univ. Grenoble Alpes, CNRS, Inria, Grenoble INP, LIG
• Andreas Darmann University of Graz
• Piotr Faliszewski AGH University of Krakow
• Martin Lackner Univ. of Applied Sciences St. Pölten
• Jérôme Lang CNRS, LAMSADE, Universite Paris-Dauphine, PSL
• Nicholas Mattei Tulane University
• Arianna Novaro Universite Paris 1 Pantheon-Sorbonne, CNRS, CES

Keywords

• Computationalsocialchoice
• collectivedecision-making
• real-world deployment
• research & development (R&D)