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Algorithms for Participatory Democracy (Dagstuhl Seminar 22271)

Authors Markus Brill, Jiehua Chen, Andreas Darmann, David Pennock, Matthias Greger and all authors of the abstracts in this report

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  • 18 pages

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Author Details

Markus Brill
  • TU Berlin, DE
Jiehua Chen
  • TU Wien, AT
Andreas Darmann
  • Universität Graz, AT
David Pennock
  • Rutgers University - Piscataway, US
Matthias Greger
  • TU München, DE
and all authors of the abstracts in this report

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Markus Brill, Jiehua Chen, Andreas Darmann, David Pennock, and Matthias Greger. Algorithms for Participatory Democracy (Dagstuhl Seminar 22271). In Dagstuhl Reports, Volume 12, Issue 7, pp. 1-18, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2023)


Participatory democracy aims to make democratic processes more engaging and responsive by giving all citizens the opportunity to participate, and express their preferences, at many stages of decision-making processes beyond electing representatives. Recent years have witnessed an increasing interest in participatory democracy systems, enabled by modern information and communication technology. Participation at scale gives rise to a number of algorithmic challenges. In this seminar, we addressed these challenges by bringing together experts from computational social choice (COMSOC) and related fields. In particular, we studied algorithms for online decision-making platforms and for participatory budgeting processes. We also explored how innovations such as prediction markets, liquid democracy, quadratic voting, and blockchain can be employed to improve participatory decision-making systems.

Subject Classification

ACM Subject Classification
  • Applied computing → Law, social and behavioral sciences
  • Theory of computation → Algorithmic game theory and mechanism design
  • liquid democracy
  • participatory budgeting
  • social choice and currency
  • platforms for collective decision making


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