Participatory Budgeting: Data, Tools, and Analysis

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

Participatory Budgeting: Data, Tools, and Analysis

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

Department of Industrial Engineering and Management

Ben-Gurion University of the Negev

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

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 language	American English
Title of host publication	Proceedings of the 32nd International Joint Conference on Artificial Intelligence, IJCAI 2023
Editors	Edith Elkind
Pages	2667-2674
Number of pages	8
ISBN (Electronic)	9781956792034
State	Published - 1 Jan 2023
Event	32nd International Joint Conference on Artificial Intelligence, IJCAI 2023 - Macao, China Duration: 19 Aug 2023 → 25 Aug 2023

Publication series

Name	IJCAI International Joint Conference on Artificial Intelligence
Volume	2023-August

Conference

Conference	32nd International Joint Conference on Artificial Intelligence, IJCAI 2023
Country/Territory	China
City	Macao
Period	19/08/23 → 25/08/23

All Science Journal Classification (ASJC) codes

Artificial Intelligence

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Cite this

Faliszewski, P., Flis, J., Peters, D., Pierczyński, G., Skowron, P., Stolicki, D., Szufa, S., & Talmon, N. (2023). Participatory Budgeting: Data, Tools, and Analysis. In E. Elkind (Ed.), Proceedings of the 32nd International Joint Conference on Artificial Intelligence, IJCAI 2023 (pp. 2667-2674). (IJCAI International Joint Conference on Artificial Intelligence; Vol. 2023-August).

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title = "Participatory Budgeting: Data, Tools, and Analysis",

abstract = "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.",

author = "Piotr Faliszewski and Jaros{\l}aw Flis and Dominik Peters and Grzegorz Pierczy{\'n}ski and Piotr Skowron and Dariusz Stolicki and Stanis{\l}aw Szufa and Nimrod Talmon",

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language = "American English",

series = "IJCAI International Joint Conference on Artificial Intelligence",

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Faliszewski, P, Flis, J, Peters, D, Pierczyński, G, Skowron, P, Stolicki, D, Szufa, S & Talmon, N 2023, Participatory Budgeting: Data, Tools, and Analysis. in E Elkind (ed.), Proceedings of the 32nd International Joint Conference on Artificial Intelligence, IJCAI 2023. IJCAI International Joint Conference on Artificial Intelligence, vol. 2023-August, pp. 2667-2674, 32nd International Joint Conference on Artificial Intelligence, IJCAI 2023, Macao, China, 19/08/23.

Participatory Budgeting: Data, Tools, and Analysis. / Faliszewski, Piotr; Flis, Jarosław; Peters, Dominik et al.
Proceedings of the 32nd International Joint Conference on Artificial Intelligence, IJCAI 2023. ed. / Edith Elkind. 2023. p. 2667-2674 (IJCAI International Joint Conference on Artificial Intelligence; Vol. 2023-August).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Participatory Budgeting

T2 - 32nd International Joint Conference on Artificial Intelligence, IJCAI 2023

AU - Faliszewski, Piotr

AU - Flis, Jarosław

AU - Peters, Dominik

AU - Pierczyński, Grzegorz

AU - Skowron, Piotr

AU - Stolicki, Dariusz

AU - Szufa, Stanisław

AU - Talmon, Nimrod

PY - 2023/1/1

Y1 - 2023/1/1

N2 - 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.

AB - 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.

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M3 - Conference contribution

T3 - IJCAI International Joint Conference on Artificial Intelligence

SP - 2667

EP - 2674

BT - Proceedings of the 32nd International Joint Conference on Artificial Intelligence, IJCAI 2023

A2 - Elkind, Edith

Y2 - 19 August 2023 through 25 August 2023

ER -

Participatory Budgeting: Data, Tools, and Analysis

Abstract

Publication series

Conference

All Science Journal Classification (ASJC) codes

UN SDGs

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