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Pabulib: A Participatory Budgeting Library

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arxiv 2012.06539 v1 pith:PFJSSIRK submitted 2020-12-01 cs.DC cs.MA

Dariusz Stolicki , Stanis{l}aw Szufa , Nimrod Talmon This is my paper · ORCID
classification cs.DCcs.MA
keywords budgetingparticipatorylibrarypabulibdescribeaccesseddatafile
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We describe the PArticipatory BUdgeting LIBrary website (in short, Pabulib), which can be accessed via http://pabulib.org/, and which is a library of participatory budgeting data. In particular, we describe the file format (.pb) that is used for instances of participatory budgeting.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Fair Compromises in Participatory Budgeting: a Multi-Agent Deep Reinforcement Learning Approach

    cs.MA 2025-07 conditional novelty 6.0 of 10

    A branching deep Q-learning voting-agent model on real Aarau and Toulouse data finds that fairer participatory budgeting outcomes can emerge when voters coordinate on lower-cost projects.

  2. Learning Aggregation Rules in Participatory Budgeting: A Data-Driven Approach

    cs.LG 2024-12 conditional novelty 6.0 of 10

    A Set Transformer learns participatory budgeting aggregation rules from labeled examples and can approximate compromise rules such as a 30-70 AV-CC blend close to PAV.

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