Participatory Budgeting: Data, Tools, and Analysis

Piotr Faliszewski, Jarosław Flis, Dominik Peters, Grzegorz Pierczyński, Piotr Skowron, Dariusz Stolicki, Stanisław Szufa, Nimrod Talmon

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations


We provide a library of participatory budgeting data (Pabulib) and open source tools (Pabutools and Pabustats) for analysing this data. We analyse how the results of participatory budgeting elections would change if a different selection rule was applied. We provide evidence that the outcomes of the Method of Equal Shares would be considerably fairer than those of the Utilitarian Greedy rule that is currently in use. We also show that the division of the projects into districts and/or categories can in many cases be avoided when using proportional rules. We find that this would increase the overall utility of the voters.

Original languageEnglish
Title of host publicationProceedings of the 32nd International Joint Conference on Artificial Intelligence, IJCAI 2023
EditorsEdith Elkind
PublisherInternational Joint Conferences on Artificial Intelligence
Number of pages8
ISBN (Electronic)9781956792034
StatePublished - 1 Jan 2023
Event32nd International Joint Conference on Artificial Intelligence, IJCAI 2023 - Macao, China
Duration: 19 Aug 202325 Aug 2023

Publication series

NameIJCAI International Joint Conference on Artificial Intelligence
ISSN (Print)1045-0823


Conference32nd International Joint Conference on Artificial Intelligence, IJCAI 2023

ASJC Scopus subject areas

  • Artificial Intelligence


Dive into the research topics of 'Participatory Budgeting: Data, Tools, and Analysis'. Together they form a unique fingerprint.

Cite this