Computational Social Choice: Research & Development
Dorothea Baumeister, Ratip Emin Berker, Niclas Boehmer, Sylvain Bouveret, Andreas Darmann, Piotr Faliszewski, Martin Lackner, J\'er\^ome Lang, Nicholas Mattei, Arianna Novaro
TL;DR
This paper advocates for a dedicated research and development agenda in computational social choice, emphasizing real-world system design, implementation, and testing to address practical collective decision-making challenges.
Contribution
It introduces the COMSOC-R&D research agenda, highlighting its importance, defining its features, and discussing challenges and solutions for practical applications.
Findings
Defines the COMSOC-R&D research agenda.
Highlights the importance of real-world testing.
Discusses challenges and potential solutions.
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.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMobile Crowdsensing and Crowdsourcing · Game Theory and Voting Systems · Multi-Agent Systems and Negotiation