Preference elicitation for participatory budgeting

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Abstract

Participatory budgeting enables the allocation of public funds by collecting and aggregating individual preferences; it has already had a sizable real-world impact. But making the most of this new paradigm requires a rethinking of some of the basics of computational social choice, including the very way in which individuals express their preferences. We analytically compare four preference elicitation methods - knapsack votes, rankings by value or value for money, and threshold approval votes - through the lens of implicit utilitarian voting, and find that threshold approval votes are qualitatively superior. This conclusion is supported by experiments using data from real participatory budgeting elections.

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Benade, G., Nath, S., Procaccia, A. D., & Shah, N. (2017). Preference elicitation for participatory budgeting. In 31st AAAI Conference on Artificial Intelligence, AAAI 2017 (pp. 376–382). AAAI press. https://doi.org/10.1609/aaai.v31i1.10563

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