Computational Social Choice: Research & Development
Computer Science and Game Theory
2026-02-24 v1
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.
Cite
@article{arxiv.2602.20074,
title = {Computational Social Choice: Research & Development},
author = {Dorothea Baumeister and Ratip Emin Berker and Niclas Boehmer and Sylvain Bouveret and Andreas Darmann and Piotr Faliszewski and Martin Lackner and Jérôme Lang and Nicholas Mattei and Arianna Novaro},
journal= {arXiv preprint arXiv:2602.20074},
year = {2026}
}
Comments
Accepted to AAMAS '26: Blue Sky Track