Computational Social Choice (COMSOC) is an interdisciplinary field between classical social choice theory in economics and theoretical computer science. The focus is to study algorithms for collective decision-making problems, such as political elections, the allocation of resources, and so on.

In this Dagstuhl Seminar, we want to focus on three main topics. The first one is data, which has become an essential element for COMSOC research. In fact, thanks to the availability of open libraries, datasets and tools, researchers can now implement and test their algorithms for collective decision-making on real-life data, complementing their theoretical results. The second one is participation, as in recent years many municipalities and public institutions have moved towards various forms of participatory and digital democracy, with the goal of increasing the citizens' active role and engagement in the public life of their communities. The third one is time, as although many collective decision-making problems have an underlying repeated nature, this dimension has thus far not received the deserved attention within standard COMSOC models.

Moreover, we aim to address these topics under the two overarching themes of domain restrictions and societal impact: while domain restrictions can be seen as a methodological question over the input of our problems, societal impact can be seen as part of their output, i.e., the applications originating from theoretical research.

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Martin Lackner, Nicholas Mattei, Arianna Novaro, and Clemens Puppe