Computational Social Choice: Research & Development
Dorothea Baumeister, Ratip Emin Berker, Niclas Boehmer, Sylvain Bouveret, Andreas Darmann, Piotr Faliszewski, Martin Lackner, Jérôme Lang, Nicholas Mattei, Arianna Novaro
TL;DR
This paper calls 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.
Abstract
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.