7th International Autumn School on AI and Big Data

We are happy to announce that the German Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI Dresden/Leipzig) will host the 7th International Autumn School on AI and Big Data. Due to the ongoing COVID situation, we continue our previous summer school program also this year as an online event. The school aims at graduate students, Ph.D. students, researchers as well as practitioners starting or being active in the areas of Machine Learning, Artificial Intelligence and/or Big Data. Within the online program, we offer inspiring insights into various research areas by internationally recognized and well known keynote speakers. Beside some highlights from our center, we also will have presentations by colleagues from the network of German AI competence centers.

Thematically, we do not only focus on methods from AI and Big Data from the computer science perspective, but also offer an alternative from the legal and social point of view on the influence of AI and Big Data methods not just on science, but also on social processes.

A autumn school will provide opportunities to exchange ideas and to discuss the topics with other participants and speakers. Within our program we will offer plenty of time to get in contact with the speakers and allow you to ask questions. Moreover on the first day of the autumn school we will organize an online science get-together. The idea is to also bring in social aspects, in an online setting. This way, participants will be able to get to connect and partner with other international practitioners and researchers.

Portrait of Prof. Dr. <br>Wolfgang E. Nagel

Prof. Dr.
Wolfgang E. Nagel


Center for Information Services and High Performance Computing (ZIH)

TU Dresden

+49 (0)351 463-35450


Portrait of Prof. Ian Horrocks

Prof. Ian Horrocks

Research Areas: knowledge representation, ontologies and ontology languages, automated reasoning and reasoning systems

FRS, Oriel Colledge, University of Oxford

Portrait of Prof. Dr. Philipp Hennig

Prof. Dr. Philipp Hennig

Research areas: probabilistic numerics, foundations of computation and learning, software tools for machine learning

Eberhard Karls Universität Tübingen & TUE AI

Portrait of Prof. Dr. Susanne Beck

Prof. Dr. Susanne Beck

Research Areas: Criminal Law, Law of Modern Technologies and Life Sciences (esp. robotics and AI), Law Philosophy and Comparative Law

LL.M. (LSE), Leibniz University Hanover