MAAICCDSGTApr 30, 2021

Participatory Budgeting with Donations and Diversity Constraints

arXiv:2104.15075v1
Originality Incremental advance
AI Analysis

This work addresses a specific problem in democratic decision-making for public fund allocation, with incremental contributions to existing participatory budgeting models.

The paper tackles the problem of participatory budgeting where citizens can donate extra money to projects and diversity constraints are imposed, introducing a formal framework and analyzing three classes of methods for aggregating preferences. It investigates the computational complexity of determining outcomes and optimal donation strategies.

Participatory budgeting (PB) is a democratic process where citizens jointly decide on how to allocate public funds to indivisible projects. This paper focuses on PB processes where citizens may give additional money to projects they want to see funded. We introduce a formal framework for this kind of PB with donations. Our framework also allows for diversity constraints, meaning that each project belongs to one or more types, and there are lower and upper bounds on the number of projects of the same type that can be funded. We propose three general classes of methods for aggregating the citizens' preferences in the presence of donations and analyze their axiomatic properties. Furthermore, we investigate the computational complexity of determining the outcome of a PB process with donations and of finding a citizen's optimal donation strategy.

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