PRAGMA | Pragmatics of Multiwinner Voting: Algorithms and Preference Data Analysis

Summary
This proposal is in the area of computational social choice, an area on the intersection of computer science and economics. We study multiwinner elections, with a focus on a pragmatic approach. Our goal is to provide a principled framework for applying multiwinner voting in various settings that may appear in real-life (ranging from small-scale elections in various institutions, through participatory budgeting settings, to applications directly within computer science). In particular, we are interested in: (a) designing new, fast algorithms for computing the outcomes of multiwinner voting rules (results of such rules are often NP-hard to compute), also for new languages of specifying preferences that are needed in practical settings; (b) obtaining algorithmic and mathematical understanding of preference data; and (c) providing algorithms for analyzing elections and their results. We are interested both in theoretical studies (designing new algorithms, analyzing computational complexity of election-related problems, establishing axiomatic features of multiwinner voting rules, etc.) and in experimental evaluations (finding out running times of algorithms, establishing their approximation ratios, evaluating properties of preference data, etc.).
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More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/101002854
Start date: 01-06-2021
End date: 31-05-2026
Total budget - Public funding: 1 386 290,00 Euro - 1 386 290,00 Euro
Cordis data

Original description

This proposal is in the area of computational social choice, an area on the intersection of computer science and economics. We study multiwinner elections, with a focus on a pragmatic approach. Our goal is to provide a principled framework for applying multiwinner voting in various settings that may appear in real-life (ranging from small-scale elections in various institutions, through participatory budgeting settings, to applications directly within computer science). In particular, we are interested in: (a) designing new, fast algorithms for computing the outcomes of multiwinner voting rules (results of such rules are often NP-hard to compute), also for new languages of specifying preferences that are needed in practical settings; (b) obtaining algorithmic and mathematical understanding of preference data; and (c) providing algorithms for analyzing elections and their results. We are interested both in theoretical studies (designing new algorithms, analyzing computational complexity of election-related problems, establishing axiomatic features of multiwinner voting rules, etc.) and in experimental evaluations (finding out running times of algorithms, establishing their approximation ratios, evaluating properties of preference data, etc.).

Status

SIGNED

Call topic

ERC-2020-COG

Update Date

27-04-2024
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Horizon 2020
H2020-EU.1. EXCELLENT SCIENCE
H2020-EU.1.1. EXCELLENT SCIENCE - European Research Council (ERC)
ERC-2020
ERC-2020-COG ERC CONSOLIDATOR GRANTS