Algorithmic decision-making has become ubiquitous in our societal and economic lives.
With more and more decisions being delegated to algorithms, we have also encountered …

Multiwinner voting captures a wide variety of settings, from parliamentary elections in
democratic systems to product placement in online shopping platforms. There is a large …

When modeling an application of practical relevance as an instance of a combinatorial
problem X, we are often interested not merely in finding one optimal solution for that …

Selecting a subset of candidates with various attributes under fairness constraints has been
attracting considerable attention from the AI community, with applications ranging from …

We study a generalization of the standard approval-based model of participatory budgeting
(PB), in which voters are providing approval ballots over a set of predefined projects and--in …

The goal of this paper is to analyze the complexity of constructive/destructive bribery and
destructive control in the framework of group identification. Group identification applies to …

We investigate the complexity of several manipulation and control problems under
numerous prevalent approval-based multiwinner voting rules. Particularly, the rules we …

Participatory budgeting (PB) is a democratic process where citizens jointly decide on how to
allocate public funds to indivisible projects. In this work, we focus on PB processes where …

We study approval-based multiwinner voting where candidates are in a metric space and
committees are valuated in terms of their distances to the given votes. In particular, we …

We consider group identification models in which the aggregation of individual opinions
concerning who is qualified in a given society determines the set of socially qualified …