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Submodular participatory budgeting

  • University of North Texas

Research output: Contribution to journalArticlepeer-review

Abstract

Participatory budgeting refers to the practice of allocating public resources by collecting and aggregating individual preferences. Most existing studies in this field often assume an additive utility function, where each individual holds a private utility for each candidate project, and the total utility of a set of funded projects is simply the sum of the utilities of all projects. We argue that this assumption does not always hold in reality. For example, building two playgrounds in the same neighborhood does not necessarily lead to twice the utility of building a single playground. To address this, we extend the existing study by proposing a submodular participatory budgeting problem, assuming that the utility function of each individual is a monotone and submodular function over funded projects. We propose and examine three preference elicitation methods and analyze their performances in terms of distortion. Notably, if the utility function is additive, our aggregation rule designed for threshold approval votes achieves a better distortion than the state-of-the-art approach.

Original languageEnglish
Article number115370
JournalTheoretical Computer Science
Volume1049
DOIs
StatePublished - Sep 17 2025

Keywords

  • Distortion
  • Participatory budgeting
  • Submodular optimization

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