Aggregation over Metric Spaces: Proposing and Voting in Elections, Budgeting, and Legislation
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Abstract (arXiv)
We present a unifying framework encompassing many social choice settings. Viewing each social choice setting as voting in a suitable metric space, we consider a general model of social choice over metric spaces, in which---similarly to the spatial model of elections---each voter specifies an ideal element of the metric space. The ideal element functions as a vote, where each voter prefers elements that are closer to her ideal element. But it also functions as a proposal, thus making all participants equal not only as voters but also as proposers. We consider Condorcet aggregation and a continuum of solution concepts, ranging from minimizing the sum of distances to minimizing the maximum distance. We study applications of the abstract model to various social choice settings, including single-winner elections, committee elections, participatory budgeting, and participatory legislation. For each setting, we compare each solution concept to known voting rules and study various properties of the resulting voting rules. Our framework provides expressive aggregation for a broad range of social choice settings while remaining simple for voters, and may enable a unified and integrated implementation for all these settings, as well as unified extensions such as sybil-resiliency, proxy voting, and deliberative decision making.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). First posted on arXiv 16 Jun 2018.
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Citing papers per year: 2022: 2; 2023: 0; 2024: 0; 2025: 2; 2026: 3.
7 papers.
- 2022Byzantine-Robust Decentralized Learning via ClippedGossipcited by 29
- 2022Foundations for Grassroots Democratic Metaversecited by 3
- 2025AI-Generated Compromises for Coalition Formationcited by 3
- 2026Probably Approximately Consensus: On the Learning Theory of Finding Common Groundcited by 1
- 2026Embeddings for Preferences, Not Semanticscited by 1
- 2025AI-Generated Compromises for Coalition Formation: Modeling, Simulation, and a Textual Case Studycited by 0
- 2026Constitutional Governance in Metric Spacescited by 0
- 2026Constitutional Governance in Metric Spaces13 May 2026
- 2026Embeddings for Preferences, Not Semantics8 May 2026
- 2026Probably Approximately Consensus: On the Learning Theory of Finding Common Ground23 Apr 2026
- 2025AI-Generated Compromises for Coalition Formation: Modeling, Simulation, and a Textual Case Study27 Nov 2025
- 2025AI-Generated Compromises for Coalition Formation7 Jun 2025
- 2022Foundations for Grassroots Democratic Metaverse2 Mar 2022
- 2022Byzantine-Robust Decentralized Learning via ClippedGossip3 Feb 2022