[2602.16194] Temporal Panel Selection in Ongoing Citizens' Assemblies

[2602.16194] Temporal Panel Selection in Ongoing Citizens' Assemblies

arXiv - AI 4 min read Article

Summary

This paper presents a framework for temporal panel selection in ongoing citizens' assemblies, ensuring proportional representation and individual fairness over time through algorithmic methods.

Why It Matters

The study addresses the need for fair representation in democratic processes, particularly in citizens' assemblies that operate over time. By formalizing a temporal sortition framework, it enhances the effectiveness of deliberative democracy, ensuring diverse voices are heard consistently.

Key Takeaways

  • Introduces a temporal sortition framework for citizens' assemblies.
  • Ensures proportional representation and individual fairness across panels.
  • Presents algorithms that maintain representation over time.

Computer Science > Computer Science and Game Theory arXiv:2602.16194 (cs) [Submitted on 18 Feb 2026] Title:Temporal Panel Selection in Ongoing Citizens' Assemblies Authors:Yusuf Hakan Kalayci, Evi Micha View a PDF of the paper titled Temporal Panel Selection in Ongoing Citizens' Assemblies, by Yusuf Hakan Kalayci and Evi Micha View PDF HTML (experimental) Abstract:Permanent citizens' assemblies are ongoing deliberative bodies composed of randomly selected citizens, organized into panels that rotate over time. Unlike one-off panels, which represent the population in a single snapshot, permanent assemblies enable shifting participation across multiple rounds. This structure offers a powerful framework for ensuring that different groups of individuals are represented over time across successive panels. In particular, it allows smaller groups of individuals that may not warrant representation in every individual panel to be represented across a sequence of them. We formalize this temporal sortition framework by requiring proportional representation both within each individual panel and across the sequence of panels. Building on the work of Ebadian and Micha (2025), we consider a setting in which the population lies in a metric space, and the goal is to achieve both proportional representation, ensuring that every group of citizens receives adequate representation, and individual fairness, ensuring that each individual has an equal probability of being selected. We extend the n...

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