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      Exploring Welfare Maximization and Fairness in Participatory Budgeting

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          Abstract

          Participatory budgeting (PB) is a voting paradigm for distributing a divisible resource, usually called a budget, among a set of projects by aggregating the preferences of individuals over these projects. It is implemented quite extensively for purposes such as government allocating funds to public projects and funding agencies selecting research proposals to support. This PhD dissertation studies the welfare-related and fairness-related objectives for different PB models. Our contribution lies in proposing and exploring novel PB rules that maximize welfare and promote fairness, as well as, in introducing and investigating a range of novel utility notions, axiomatic properties, and fairness notions, effectively filling the gaps in the existing literature for each PB model. The thesis is divided into two main parts, the first focusing on dichotomous and the second focusing on ordinal preferences. Each part considers two cases: (i) the cost of each project is restricted to a single value and partial funding is not permitted and (ii) the cost of each project is flexible and may assume multiple values.

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          Author and article information

          Journal
          26 October 2024
          Article
          2410.20143
          57e57e2a-0b3c-4511-83aa-c187df1ca258

          http://creativecommons.org/licenses/by/4.0/

          History
          Custom metadata
          PhD Thesis
          cs.GT cs.AI cs.MA

          Theoretical computer science,Artificial intelligence
          Theoretical computer science, Artificial intelligence

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