Computational Social Choice: Research & Development

2026/02/23 by Dorothea Baumeister, Ratip Emin Berker, Niclas Boehmer +7 · 1 voice
Computer Science · #cs.GT

paper · pdf · doi:10.65109/chqp3419

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.

Citations

• The Hardness of Achieving Impact in AI for Social Impact Research: A Ground-Level View of Challenges & Opportunities
• Drawing a Map of Elections
• From Independence of Clones to Composition Consistency: A Hierarchy of Barriers to Strategic Nomination
• Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback
• Evaluation of Project Performance in Participatory Budgeting
• Approval-Based Committee Voting in Practice: A Case Study of (Over-)Representation in the Polkadot Blockchain
• Distributional Preference Learning: Understanding and Accounting for Hidden Context in RLHF
• Participatory Budgeting: Data, Tools, and Analysis
• Mitigating Skewed Bidding for Conference Paper Assignment
• Power to the People? Opportunities and Challenges for Participatory AI
• Analysis of Polkadot: Architecture, Internals, and Contradictions
• Proportional Participatory Budgeting with Additive Utilities
• Multi-Winner Voting with Approval Preferences
• Overview of Polkadot and its Design Considerations
• Roles for Computing in Social Change
• Proportionality and the Limits of Welfarism
• Proportionality and the Limits of Welfarism
• Artificial Intelligence for Social Good
• Improving fairness in machine learning systems: What do industry practitioners need?
• Phragmén's Voting Methods and Justified Representation
• Good Enough Practices in Scientific Computing
• Leximin Allocations in the Real World
• Best Practices for Scientific Computing
• Telescope Time Without Tears: A Distributed Approach to Peer Review

Discussions

• 📖 New LAMSADE preprint: Computational Social Choice: Research & Development. (arXiv) https://doi.org/10.48550/arXiv.2602.20074 [bsky, 0 points, 0 comments]

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