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Fair algorithms for selecting citizens' assemblies.

Bailey Flanigan1, Paul Gölz2, Anupam Gupta3

  • 1Computer Science Department, Carnegie Mellon University, Pittsburgh, PA, USA. bflaniga@cs.cmu.edu.

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|August 5, 2021
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Summary
This summary is machine-generated.

New algorithms for selecting citizens' assemblies ensure representative panels while maximizing equal selection probability for participants. This advances fair division principles in civic participation and sortition practices globally.

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Area of Science:

  • Civic Engagement and Political Science
  • Computational Social Science
  • Fair Division Theory

Background:

  • Citizens' assemblies are increasingly used for policy-making, involving randomly selected citizens.
  • Selection processes aim for population representativeness and equal individual selection probability.
  • Differential participation rates create a tension between representativeness and equal probability.

Purpose of the Study:

  • To develop novel selection algorithms for citizens' assemblies.
  • To address the tension between panel representativeness and equal selection probabilities.
  • To provide a fairer and more principled method for sortition.

Main Methods:

  • Applied principles from fair division theory to create new selection algorithms.
  • Developed algorithms that simultaneously optimize for representativeness and probability equality.
  • Implemented and tested one algorithm on over 40 citizens' assemblies worldwide.

Main Results:

  • The proposed algorithms achieve greater fairness in selection probabilities compared to previous methods.
  • Demonstrated substantial improvements in fairness using data from ten citizens' assemblies.
  • The implemented algorithm has been successfully deployed globally.

Conclusions:

  • Fair division principles offer a robust framework for improving sortition in citizens' assemblies.
  • The developed algorithms provide a more equitable and principled approach to selecting participants.
  • This work strengthens the foundation of sortition and highlights its application in fair division.