Veranstaltungen und Angebote

Knowledge and skills in Data Science are becoming indispensable for researchers of all disciplines. Especially young researchers profit from knowing about the scope and application areas of Data Science in scientific work in specific and across different disciplines. Furthermore, they must understand the belonging implications for scientific inquiries, and the skills required by a data scientist to be productive in a world deluged by data.

The University of Göttingen is pleased to host an International Summer School on Data Science this year again. For the fourth time since 2017 Master and PhD students are welcome to apply and take part in the Summer School.

The date: September 11-22, 2023

The location:
Göttinger Rechenzentrum
Burckhardtweg 4
37077 Göttingen

The topics:
The speakers will give an overview on the multi-layered topics and methods belonging to Data Science. Such as

  • Data Quality
  • Exploratory and Quantitative Data Analysis
  • Deep Learning
  • Application examples
  • Quantum Machine Learning
  • AI Safety and Security
  • Scalable AI

  • The lectures:

Lecturers from several disciplines will enable cross-disciplinary insights. This year’s summer school opens the opportunity for the participants to engage with further experts at the HeKKSaGOn AI Symposium which will take part in Göttingen from September 19-21. All lectures will be held in English.

Selected learning outcomes:
In the deep learning part of the course students will:

  • learn concepts and techniques underlying deep learning and understand their advantages and disadvantages compared to alternative approaches
  • learn to solve practical data science problems using deep learning using the popular PyTorch library
  • learn the basics of modern deep learning architectures (convolutional neural networks and transformers) and learn how to implement these architectures in PyTorch
  • learn applications of deep neural networks for computer vision and natural language processing tasks

Target group:
The Summer School will welcome up to 35 participants representing mainly international partner universities of the University of Göttingen studying Master- or PhD-Courses. The participants will be granted 3 ETCS for their work during the course.

Please find more information and the link to the registration form here:

CIDAS Marketplace for Theses and Projects

On Friday, June 9, 2023, starting at 13:00 the 6th CIDAS Marketplace for Theses will take place. Once again in presence as a poster session in the foyer of the Geosciences and Geography, Goldschmidtstr. 3-5 (location map:
In the context of the marketplace, lecturers and scientists can present topics for theses and projects related to Data Science or the work of the research group in general and exchange experiences with students.
The event is aimed at students of Data Science, Computer Science and Statistics as well as for all those interested in Data Science from the application disciplines. In addition, the marketplace is a good opportunity to learn about the research of other groups and to exchange ideas with colleagues from the Göttingen Campus.

If you would like to participate as a research group, please contact janphilipp.ressler[at] by May 19, 2023 - so that we can make sure that enough space and poster display walls are available. If you like, please also include the title of your poster/topic, your institution and its contact person.

Eröffnungssymposium: KISSKI – neues KI-Servicezentrum in der Region Göttingen / Hannover/ Kassel


Der Fokus des KI-Servicezentrums liegt auf Anwendungen und Forschungstätigkeiten in den Bereichen Gesundheit und Energie. Diese Wirtschaftsbereiche zählen zu entscheidenden Infrastrukturen in Deutschland und stellen höchste Ansprüche im Bereich des Datenschutzes. Das KISSKI ermöglicht Pilotprojekte von Wissenschaftler:innen und Industrie (insbesondere Startups und KMUs).

Was ist unsere Vision für KISSKI? Wie gehen wir den Betrieb und wie können Sie Ihre Pilotprojekte in KISSKI durchführen?

Das Symposium bietet spannende Einblicke in unsere Planung rund um das KI-Servicezentrum, anregende Diskussionsrunden rund um KI in Energie und Medizin sowie eine hervorragende Gelegenheit zum Networking und Austausch mit Stakeholdern aus Ihrer Branche.

Anmeldung und weitere Informationen unter:

Public Symposium: “Law and Ethics of Artificial Intelligence and Biomedicine”


The ProCAIMed consortium cordially invites you to the symposium "Law and Ethics of Artificial Intelligence and Biomedicine" on 16 May 2023 at Herrenhausen Palace. Is there a right to treatment with AI? How does to protect patient data and at the same time make it usable as a resource for AI applications for the benefit of future patients? How can doctors and nurses interact with algorithmic systems in assessment and decision-making situations?
On 16 May, you can discuss these and other questions with experts from various scientific disciplines, including Prof. Dr. Alena Buyx, Chair of the German Ethics Council, Dr. Maren Lang, Director BioInformatics R&D at BioNTech and Prof. Dr. Wolfgang Nejdl, Professor of Computer Science and Executive Director of the L3S Research Centre. In addition to ethical, legal, and social issues, challenges, and approaches to solutions in the medical field will also be discussed. The symposium is aimed at the broad professional public from medicine, science, the health industry and politics as well as organised civil society.

Participation is free of charge and registration is now open. The symposium will be held exclusively in German.

Date: 16 May 2023 in Hanover, Herrenhausen Palace, admission from 10:30 AM

ProCAIMed is a joint project of Campus Institute Data Science (CIDAS), CIIM (Centre for Individualised Infection Medicine), Georg-August-University Göttingen, Helmholtz Centre for Infection Research, L3S Research Center, Leibniz Universität Hannover, Hannover Medical School, and the University Medical Centre Göttingen.

CIDAS Colloquium im summer semester 2023

13.04.2023: Dr. Terry Lima Ruas: AI Usage Cards: Responsibly Reporting AI-generated Content
27.04.2023: Prof. Dr. Gregor Schiele: Embedded Deep Learning, Green AI and the Internet of Intelligent Things - Efficiency is Key
11.05.2023: Dr. Philipp Bekemeyer: Machine Learning for Enhancing and Complementing Computational Fluid Dynamics - Potentials and Limitations for Aerospace Applications
25.05.2023: Prof. Dr. Oliver Kohlbacher: PHT-meDIC - Federated privacy-preserving machine learning on medical data
08.06.2023 postponed to 15.06.2023: Dr. Nicolai Spicher: Quantitative analysis methods for post-hoc interpretability in neural networks for biosignal analysis
06.07.2023: Prof. Dr. Joschka Bödecker: Inverse Q-Learning as a Tool to Investigate Behavior and its Neural Correlates

The lectures will take place at 2:15 p.m. in Goldschmidtstraße 7, Raum 2.101 the get-together afterwards will be in Goldschmidstraße 7, Meeting Room 2nd floor