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Wrap up: 2025 Berlin Summer School of Artificial Intelligence and Society

Open Science and AI - Shaping the Future of Responsible Research

The 2025 Berlin Summer School of Artificial Intelligence and Society took place from September 15-18, 2025, at the TU-Campus EUREF in Berlin Schöneberg. It focused on “Open Science and Open Data” and was jointly organized by the BIFOLD Graduate School, the Cluster of Excellence "Science of Intelligence" (SCIoI) and the Weizenbaum Institute in Berlin.

The summer school brought together early career researchers from across disciplines to explore the intersection of open science, open data and artificial intelligence. Participants and speakers from BIFOLD, SCIoI, the Weizenbaum Institute, TU Berlin and other universities and research institutes in Germany and Europe addressed the responsible use of AI, data transparency, implementing FAIR principles (findability, accessibility, interoperability, and reusability), building resilient data infrastructures, and maintaining scientific integrity in AI-driven research. The programme covered pressing challenges in reproducibility, anonymization techniques, and citizen science approaches that democratize AI development. Beyond theoretical discussions, participants gained hands-on experience with practical tools and methodologies essential for responsible research. The Summer School offered valuable insights, skills, and connections needed to advance ethical, open practices in contemporary AI research.

Over 3,5 days participants engaged with leading experts through keynotes, in-depths lectures, and hands-on workshops. A highlight of the programme was the interactive excursion to the WiNoDa Knowledge Lab at the Museum für Naturkunde in Berlin. Participants experienced real-world applications of digital research and data management. The program fostered an open exchange of ideas and equipped researchers with the skills and networks to advance ethical, transparent practices in contemporary AI research.

 

Keynotes & Speakers

The four keynote speeches were held by highly recognized scientists and addressed how neuro-symbolic AI can drive the next generation of open, transparent, and responsible scientific research (Prof. Sören Auer, TIB – Leibniz Information Centre for Science and Technology and University Library), the status quo of the current debate on AI and research integrity (Dr Katrin Frisch, Ombuds Committee for Research Integrity in Germany), how openness can foster trust and integrity in Artificial Intelligence research (Dr Angela Holzer), and Open data infrastructure in the age of generative AI (Prof. Elena Simperl, King’s College London).

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

In the following, you can find the schedule for each day. On several days, parallel content tracks took place.

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: Data Infrastructures and Data Competencies: The Key for a Cooperative Data Culture
Professor Sonja Schimmler (TU Berlin & Fraunhofer FOKUS)
17:30 Social Get-Together

Time Description
09:30 – 10:00 Coffee & Exchange
10:00 – 11:15 Parallel Sessions (In-depths lectures)
Scientific Attitudes Toward Risk Variability
Dr Rena Alcalay (Technical University of Munich)
SIGMOD Availability and Reproducibility: Turning Research Nightmares into Smooth Sailing
Professor Holger Pirk (Imperial College London)
11:15 - 12:30 Lowering Barriers to Open Research: Cedalion as an Example from Neuroimaging
Dr Eike Middell (Technische Universität Berlin & BIFOLD)
Collaborative Power of AI and Citizen Science for Sustainable Development
Dr Dilek Fraisl (International Institute for Applied Systems Analysis)
12:30 – 13:30 Lunch break
13:30 – 15:00 Parallel Sessions (In-depths lectures)
Machine learning for Sciences: Computational chemistry and biology
Dr Michael Gastegger (Microsoft Research AI for Science)
From Data to Tangible Insights: Exploring Open Data in Berlin
Anna Meide & Philipp Jordan (CityLAB Berlin) 
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 Hands-On Session
Reproducible Research with LEGO
Anja Herwig (Humboldt-Universität zu Berlin)
 
12:30 - 13:30 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
WiNoDa Knowledge Lab, Museum für Naturkunde (MfN), Berlin

15:15-15:25: Arrival and welcome

15:30-16:30: Four parallel tours with digitisation demonstrations

16:30-18:00: Lecture on data management at the MfN and discussion

   

Time Description
09:30 – 10:00 Coffee & Exchange

10:00 - 11:00

Parallel Sessions (In-depts lectures)

A Fever Dream of Machine Learning Framework Composability: Croissant and Beyond
Luis Oala, Fraunhofer HHI & Brickroad

How to share personal data
Dr Evgeny Bobrov, Charité

11:00 – 12:30

Parallel Sessions (Hands-On)

FAIR Data in Practice: Finding and Reusing Research Data
Dr Britta Steinke, TU Berlin

 

Leveraging peer-to-peer technology to keep research data safe and accessible.
Henrik Schönemann, HU Berlin

12:30 – 13:00 Final Discussion & Wrap up
13:00 – 14:00 Lunch break

Teaching formats

KEYNOTES
The keynote speeches provided an introductory overview of specific topics in Machine Learning, Data Management, intelligence, and the societal impact of AI in the context of Open Science and Open Data.

IN-DEPTH SESSIONS
In-depth lectures addressed subject-specific topics. Participants were able to choose from parallel sessions according to their field of interest.

HANDS-ON SESSIONS
More practice-oriented workshops offered participants hands-on experience and the possibility to interact.

EXCURSION
The Summer School experience extended beyond the classroom with an engaging excursion to the WiNoDa Knowledge Lab at the Museum für Naturkunde in Berlin, providing valuable insights into practical implementations of the principles discussed during the program. 

NETWORKING
Ample time for networking, exchange, and discussions was provided with a good balance between the number of participants and speakers, who were available for further discussion.

Partners

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