Given once, 2020

Multiwinner Voting

The complexity of proportional voting rules that choose a committee, not a single winner

Voting and elections · Computational social choice · Parameterized algorithms

An advanced seminar, for graduate students and up.

Abstract

Draft, not yet checked by me

Multiwinner voting rules pick a committee instead of a single winner, and rules like Chamberlin–Courant and Monroe are built around the idea that every voter should have a representative they actually like. Deciding whether a committee with a given score even exists is NP-hard for these rules. I look at the complexity of these rules through two natural questions: is a given committee optimal, and does some optimal committee contain a given candidate? For Chamberlin–Courant and Monroe (with rankings or approval ballots), the first is coNP-complete and the second is complete for Θ₂ᴾ, while single-peaked rankings allow efficient algorithms for the second.

The slides

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