Summer School
2025 Berlin Summer School of Artificial Intelligence and Society
Open Science and AI - Shaping the Future of Responsible Research
Location: Berlin, Germany
Dates: 15 - 18 September 2025
Uplication until: 30 June 2025
The 2025 Berlin Summer School on Artificial Intelligence and Society invites researchers and practitioners to explore the space of 'Open Science & Open Data'. Promoting transparency, accessibility, and collaboration in scientific research becomes all the more important in an era of rapid advancement of generative AI. These principles of Open Science are essential as they drive the free sharing of datasets, algorithms, and research outcomes; fostering innovation, reproducibility, and ethical standards. Open collaboration helps researchers worldwide to identify and mitigate bias, and ultimately develop fairer, more robust, and trustworthy AI models that benefit society.
Join us as we explore key intersections of openness and AI. Participants will engage with leading experts to tackle implementing FAIR principles (findability, accessibility, interoperability, and reusability), building resilient data infrastructures, and maintaining scientific integrity in AI-driven research. The curriculum addresses pressing challenges in reproducibility, anonymization techniques, and citizen science approaches that democratize AI development. Beyond theoretical discussions, you'll gain hands-on experience with practical tools and methodologies essential for responsible research. The Summer School offers you valuable insights, skills, and connections needed to advance ethical, open practices in contemporary AI research.
The Summer School will be a 3,5-day event from Monday, 15 September 2025 to Thursday, 18 September 2025. It is designed for doctoral and postdoctoral researchers from the Weizenbaum Institute, the Cluster of Excellence “Science of Intelligence”, the network of German Centres of Excellence for AI: BIFOLD, DFKI, Lamarr, MCML, ScaDSAI, and TUEAI, and from other universities and research institutes, who are passionate about machine learning, data management and the impact of cutting-edge AI on society. Interested Master’s students in their last year are also cordially invited to participate.
Apply for the Summer School
Keynotes & Speakers
The four keynote speeches are held by highly recognized scientists and intended to give an introductory overview of specific topics in Machine Learning, Data Management, Intelligence, and the possible societal impact of AI in the context of Open Science & Open Data. The keynote speeches allow participants from all disciplines to broaden their interdisciplinary skills and understanding.
Professor Sören Auer
TIB – Leibniz Information Centre for Science and Technology and University Library
Dr Katrin Frisch
Ombuds Committee for Research Integrity in Germany
Dr Angela Holzer
German Research Foundation
Professor Elena Simperl
King’s College London
All Speakers of the Summer School 2025 are listed here.
Agenda
The 2025 Summer School will present a variety of formats and takes place over 3,5 days. In the following you will find the schedule for each day. Please note that on several days parallel content tracks are prepared.
| Time | Description | ||
|---|---|---|---|
| 09:00 – 10:00 | Registration & Coffee | ||
| 10:00 – 10:30 | Welcome Notes | ||
| 10:30 – 11:30 | Keynote: Open data infrastructure in the age of generative AI Professor Elena Simperl (King’s College London) | ||
| 11:30 – 13:00 | Poster Session | ||
| 13:00 – 14:00 | Lunch break | ||
| 14:00 – 15:00 | Keynote: Is Open Science still relevant? Dr Angela Holzer (German Research Foundation) | ||
| 15:00 – 15:30 | Speed Meeting | ||
| 15:30 – 16:00 | Coffee break | ||
| 16:00 – 17:00 | Lecture: TBD TBD | ||
| 17:30 | Social Get-Together | ||
| Time | Description | ||
|---|---|---|---|
| 09:30 – 10:00 | Coffee & Exchange | ||
| 10:00 – 11:15 | Parallel Sessions (In-depths lectures) | ||
| Epistemic harms in data sharing practices Dr Rena Alcalay (Technical University of Munich) | Lecture on Reproducibility Dr Holger Pirk (Imperial College London) | ||
| 11:15 - 12:30 | Reproducible Research with LEGO Guido Scherp (ZBW – Leibniz Information Centre for Economics) | Citizen Science & AI Dr Dilek Fraisl (International Institute for Applied Systems Analysis) | |
| 12:30 – 13:30 | Lunch break | ||
| 13:30 – 15:00 | Parallel Sessions (In-depths lectures) | ||
| ML for the sciences Dr Michael Gastegger (Microsoft Research AI for Science) | Usage of Public Data TBD | ||
| 15:00 – 15:30 | Coffee break | ||
| 15:30 – 17:30 | Openness in your own research practice (Joint discussion and exchange) Dr Dietmar Kammerer (Weizenbaum Institute) | ||
| Time | Description | ||
|---|---|---|---|
| 09:30 – 10:00 | Coffee & Exchange | ||
| 10:00 - 11:00 | Keynote: Maintaining Integrity when Using AI in Your Research Dr Katrin Frisch (Ombuds Committee for Research Integrity in Germany) | ||
| 11:00 – 12:30 | Parallel Sessions (Hands-On) | ||
| TBD | TBD | ||
| Lunch break | |||
| 13:30 – 14:30 | Keynote: Neuro-symbolic AI for Open Science Professor Sören Auer (TIB – Leibniz Information Centre for Science and Technology and University Library) | ||
| 14:30 – 18:00 | Excursion TBD | ||
| Time | Description | ||
|---|---|---|---|
| 09:30 – 10:00 | Coffee & Exchange | ||
| 10:00 - 11:00 | Parallel Sessions (In-depts lectures) | ||
| Open Formats/ML Data Sets TBD | Anonymisation Dr Evgeny Bobrov (Charité) | ||
| 11:00 – 12:30 | Parallel Sessions (Hands-On) FAIRe Tools |
Bias Detection & Ethical AI Model | |
| 12:30 – 13:00 | Final Discussion & Wrap up | ||
| 13:00 – 14:00 | Lunch break | ||
What to expect
KEYNOTES
The keynote speeches are intended to provide an introductory overview of specific topics in Machine Learning, Data Management, intelligence, and the societal impact of AI in the context of Open Science & Open Data.
IN-DEPTH SESSIONS
In-Depths Lectures give a detailed introduction to specific topics, methods and projects of state-of-the-art research related to AI and Open Science in the various disciplines. Participants will be able to choose from parallel sessions according to their field of interest.
HANDS-ON SESSIONS
This practice-oriented formats offer participants hands-on experience and the opportunity to interact. Participants will be able to choose from parallel sessions according to their field of interest.
EXCURSION
The Summer School experience extends beyond the classroom with an engaging excursion, providing valuable insights into practical implementations of the principles discussed during the program.
NETWORKING
Ample time for networking, exchange, and discussions will be provided. There will be a good balance between the number of participants and speakers, who will also be available for further discussion.
Apply for the Summer School
Organisational Details
Participants are expected to attend the entire programme.
Duration: Arrival is on Monday, 15 September 2025. Departure is on Thursday, 18 September 2025.
Application until: 30 June 2025
Fees: There is no fee for the school, but travel and accommodation expenses are not covered. Coffee and lunch breaks with a small catering are provided.
Accommodation: Participants are responsible to book their accommodation individually.
Venue: EUREF Campus in the very center of Berlin with many possibilities for relaxation and outdoor activitics nearby.
Address: TU-Campus EUREF, EUREF-Campus 9, 10829 Berlin-Schöneberg.
Directions: The EUREF Campus is located close to the ICE train station Südkreuz and the S Bahn station Schöneberg.
Child care/special assictance: Please get in touch with us in case you need child care or special assistance. We may be able to provide some financial support grants for travel and accommodation.
Contact: Dr Tina Schwabe, gs@gifold.tu-berlin.de
Organisers: BIFOLD Graduate School, Science of lntelligence (SClol) and Weizenbaum Institute, Research group “Digitalization, Sustainability, and Participation”.
Partners
Network
