Computational social choice is a rapidly growing field of research at the intersection of computer sciences and economics, specifically social choice theory. Its goal is the study of computational aspects of collective decision making. On the one hand, computational social choice aims to apply techniques from (theoretical) computer science, such as complexity analysis and algorithm design, to questions of social choice theory, like voting and stable matching. On the other hand, methods from social choice theory are applied to problems that appear in computer sciences, for example in network design or multiagent systems.

The goal of the First Vienna Workshop on Computational Social Choice is to bring together the growing community of researchers in Vienna interested in computational social choice and connect them with leading experts in the field. The workshop took place on September 25, 2020.

Speakers

Christian Klamler (Univ. Graz)

Martin Lackner (TU Wien)

Jérôme Lang (Université Paris Dauphine)

Jiehua Chen (TU Wien)

Thekla Hamm (TU Wien)

Organisers

Stefan Woltran
Martin Lackner
Jan Maly