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Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH

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.

Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH

Recently, democracies have been challenged at their very core: election outcomes are regularly contested, election procedures questioned, and distrust sown, as exemplified by the aftermath of recent elections in the 2020 Presidential election in the US and the 2022 election in Brazil. Hence, one of the essential qualities of any election, poll, or referendum is that it should provide firm evidence that the announced result truly reflects the will of the electorate.

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

The five-day seminar will bring together AI and ML researchers from various universities with representatives from NGOs pursuing various social good goals, such as providing legal aid, providing humanitarian assistance, advocating for gender justice, denouncing growing levels of inequality, and defeating poverty. On these topics, NGOs have rich domain knowledge, just like they have vast networks with (non-)governmental actors in developing countries. Mostly, NGOs have their finger on the pulse of the challenges that the world & especially its most vulnerable inhabitants are facing today, and will be facing tomorrow.

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

The rapid advancements in digital technologies, particularly generative AI, have triggered a profound shift in the relationship between technology, humans, society, and the values that shape our world. These developments challenge the traditional understanding of computer science, both as a discipline and as a driver of societal transformation.

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

Social Inteliigence in AI Theory of Mind Large Language Models Social Arificial Intelligence Social Agents

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

In this Dagstuhl Seminar, we aim to bring together researchers and industry practitioners who study and build digital games. The goal is to generate a better understanding of the harms in games and progress towards enriching playful experiences for broad groups of players.

games; toxicity; deceptive design; problematic gaming; accessibility;

Benutzerschnittstellen, User Experience, Virtuelle Realität ,    Mulitimedia und Computergrafik, Spiele

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

We expect this Dagstuhl Seminar to have outcomes that support research and development in the area of physically assistive robotics, including: documentation of guidelines on how to include the disabled community and other stakeholders in research; highlights and insights about how different disciplines can come together to work on physically assistive robotics; clear open questions regarding topics that still need to be explored in this field in the future; establishment of collaborations between researchers, community, and industry.

Robotik, Automatisierung & Mechatronik,    Medizintechnik

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

This Dagstuhl Seminar is relevant to the diverse fields of data management, data engineering, human computation and crowdsourcing, data-driven decision-making, responsible AI, and data governance. The seminar looks at three perspectives: Human, Computational, and Institutional. There is an evident need to bring together perspectives from domain experts who understand the properties and semantics of the datasets (human perspective); from algorithmic advancements that can help improve data quality (computational perspective); and from institutional imperatives including regulations, standards and organizational policies that create necessary safeguards for governance of data pipeline processes (institutional perspective).

Data Quality; Bias and Fairness; Responsible AI

Benutzerschnittstellen, User Experience, Virtuelle Realität ,    Datenbanktechlologie, Suchmaschinen und Data-Mining