1 Her work has been supported in part by an NRW grant for gender-sensitive universities
supporting her as a junior professor for Computational Social Choice and by the project …

Collective decision making is concerned with aggregating information reported by a number
of individuals into a collective decision appropriately capturing the individual views as a …

We introduce a new approach for designing rules for participatory budgeting (PB), the
problem of deciding on the use of public funds based directly on the views expressed by the …

Graph aggregation is the process of computing a single output graph that constitutes a good
compromise between several input graphs, each provided by a different source. One needs …

We provide a comprehensive analysis of the computational complexity of the outcome
determination problem for the most important aggregation rules proposed in the literature on …

Judgment aggregation offers a generic formal logical framework for modeling various
settings where agents must reach joint agreements through aggregating the preferences …

I introduce a model of judgment aggregation that allows for an explicit distinction between
rationality and feasibility constraints. The former are assumed to be satisfied by the …

Judgment aggregation is a general framework for collective decision making that can be
used to model many different settings. Due to its general nature, the worst case complexity of …

A canonical problem in social choice is how to aggregate ranked votes: that is, given n
voters' rankings over m candidates, what voting rule f should we use to aggregate these …

We review several different languages for collective decision making problems, in which
agents express their judgments, opinions, or beliefs over elements of a logically structured …