All past events

How do we make today's societies literate in artificial intelligence and computational technologies?

“Critical Computational Studies and Critical Computational Literacy” with Prof. Christoph Burchard

Christoph Kern, Junior Professor of Social Data Science and Statistical Learning at the LMU Munich, gives a talk on "Algorithmic Decision-Making Through the Lens of Social Data Science".

Candidates for professorships in the fields of "Critical Reflection and/or Governance of Computational Technologies" present their expertise.

"KI: Wie formt sie unsere Zukunft?" is the topic of this year's Bad Homburg Conference, organized by the Forschungskolleg Humanwissenschaften Bad Homburg in cooperation with the C³S.

The project "Data Literacy Education in the Humanities", together with the C³S, invites to a joint workshop on "Data Literacy in the Humanities".

How can AI enhance democracy and address risks of unpredictability and opacity? This panel, moderated by C³S Speaker Christoph Burchard, will take place at "Curious 2024 - Future Insight Conference".

This workshop on "Understanding 'Ownership': The impact of AI in Law, Medicine, and Art" will explore Human AI interaction in the age of generative models.

Candidates for professorships in the fields of "classical network science and graph machine learning" and "modeling of climate change" present their expertise.

This year's C³S annual conference titled "Planetary Hopes" addresses the question of whether and how computer and data-supported methods can contribute to dealing with the polycrises caused by climate change.

Sophie Langer, assistant professor in the Statistics group at University of Twente, gives a talk on "The role of statistical theory in understanding deep learning".

Dr. Frank Takes, associate professor at LIACS, the computer science and AI department of Faculty of Science of Leiden University

Promise and perils of population-scale social network analysis

Garauv Rattan, postdoctoral researcher in the Department of Mathematics at Technische Universität Darmstadt

Graph-Theoretic Design Principles for Graph Neural Networks

Annabell Coors, postdoctoral researcher at Columbia University

Unlocking the Secret of Healthy Cognitive Aging – Markers and Resilience Factors

Dr. Carina Prunkl, Research Fellow at University of Oxford’s Institute for Ethics in AI

Noise - a flaw in algorithmic judgment?

Prof. Dr. Michael Schaub, RWTH Aachen

Signal processing on graphs and complexes

Dr. Martin Mundt, TU Darmstadt

Lifelong Machine Learning as a Sustainable Foundation for Human-Aware AI

Prof. Dr. Anthony Lin, TU Kaiserslautern

Trustworthy Automated Reasoning on Complex Systems

Jörg Noller, München / Leipzig

Digitale Aufklärung und künstliche Intelligenz

Dr. Maximilian Weber, Goethe-Universität Frankfurt

Large Language Models in the Wild: A Comparative Analysis of AI Discourse in Social and Traditional Media Post-November 2022

Dr. Corinna Coupette, Max-Planck Institute for Informatics, Saarbrücken.

Constructing Connected Worlds: Defining, Documenting, and Distributing Network Data across Disciplines

Dr. Sandra Kiefer, University of Oxford and Jesus College Oxford.

The Combinatorial Side of Graph Neural Networks

Vortrag 23.10.23, 18:00-20:00 Uhr via ZOOM

Prof. Dr. Christoph Burchard

"Künstliche Intelligenz als Machtfrage: Das Beispiel ChatGPT"

Keynote
Justice and Former Chief Justice of the Constitutional Court of Brazil
Professor Luiz Fux
The Technological Transformation of Justice

Dr. Danilo Dessì , GESIS Leibniz Institute for the Social Sciences in Cologne, Germany

Scholarly Knowledge Graphs: the New Paradigm for Scholarly Information Representation

Organized in cooperation with DFG research unit ADYN and HPI Potsdam.

Dr. Julian Gerstenberg, Interim Professor of Stochastics at Philipps University Marburg

Probability Distributions in Machine Learning: Beyond Expected Values and Across Domains

Dr. Maximilian Nickel, Research Scientist at FAIR / Meta AI

(Generative) Models of a Complex World

Organized in cooperation with LUISS University.

Prof. Dr. Ulrik Brandes, ETH Zürich

Computational Study of Collective Behavior: The Case of Association Football (Soccer)