The American winner-take-all congressional district system empowers politicians to
engineer electoral outcomes by manipulating district boundaries. Existing computational …

In this paper, we propose to use the concept of local fairness for auditing and ranking
redistricting plans. Given a redistricting plan, a deviating group is a population-balanced …

Much of the social choice literature examines direct voting systems, in which voters submit
their ranked preferences over candidates and a voting rule picks a winner. Real-world …

Voting can abstractly model any decision-making scenario and as such it has been
extensively studied over the decades. Recently, the related literature has focused on …

District-based manipulation, or gerrymandering, is usually taken to refer to agents who are in
fixed location, and an external division is imposed upon them. However, in many real-world …

The Fair Representation Act, first introduced in 2017 and reintroduced in 2019 and 2021,
would mandate the use of multi-member districts (MMDs) to elect members to the United …

In many practical scenarios, a population is divided into disjoint groups for better
administration, eg, electorates into political districts, employees into departments, students …

Why not have a computer just draw the best map? For many people, this is the first and only
reasonable approach to the problem of gerrymandering. But there are more than a few …

We initiate the systematic algorithmic study for gerrymandering over graphs that was
recently introduced by Cohen-Zemach, Lewenberg and Rosenschein. Namely, we study a …

Place-based identities could potentially shape how the public evaluates political information,
especially when cleavages between rural and non-rural become more central to politics …