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The core of the participatory budgeting problem

Publication ,  Conference
Fain, B; Goel, A; Munagala, K
Published in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
January 1, 2016

In participatory budgeting, communities collectively decide on the allocation of public tax dollars for local public projects. In this work, we consider the question of fairly aggregating preferences to determine an allocation of funds to projects. We argue that the classic game theoretic notion of core captures fairness in the setting. To compute the core, we first develop a novel characterization of a public goods market equilibrium called the Lindahl equilibrium. We then provide the first polynomial time algorithm for computing such an equilibrium for a broad set of utility functions. We empirically show that the core can be efficiently computed for utility functions that naturally model data from real participatory budgeting instances, and examine the relation of the core with the welfare objective. Finally, we address concerns of incentives and mechanism design by developing a randomized approximately dominantstrategy truthful mechanism building on the Exponential Mechanism from differential privacy.

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Published In

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

DOI

EISSN

1611-3349

ISSN

0302-9743

Publication Date

January 1, 2016

Volume

10123 LNCS

Start / End Page

384 / 399

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 46 Information and computing sciences
 

Citation

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Fain, B., Goel, A., & Munagala, K. (2016). The core of the participatory budgeting problem. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10123 LNCS, pp. 384–399). https://doi.org/10.1007/978-3-662-54110-4_27
Fain, B., A. Goel, and K. Munagala. “The core of the participatory budgeting problem.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10123 LNCS:384–99, 2016. https://doi.org/10.1007/978-3-662-54110-4_27.
Fain B, Goel A, Munagala K. The core of the participatory budgeting problem. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2016. p. 384–99.
Fain, B., et al. “The core of the participatory budgeting problem.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10123 LNCS, 2016, pp. 384–99. Scopus, doi:10.1007/978-3-662-54110-4_27.
Fain B, Goel A, Munagala K. The core of the participatory budgeting problem. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2016. p. 384–399.

Published In

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

DOI

EISSN

1611-3349

ISSN

0302-9743

Publication Date

January 1, 2016

Volume

10123 LNCS

Start / End Page

384 / 399

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 46 Information and computing sciences