Conference Programme | Open Science Conference

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October 8 – 9, 2025

Conference Programme

Day 1
2025-10-08

Time (CEST)	Room Alsterarkaden (streaming)	Room Galeria (no streaming)
09:00	Welcome Klaus Tochtermann, ZBW – Leibniz Information Centre for Economics Keynote FAIR and verifiable: The role of FAIR Digital Objects in trusted AI Erik Schultes, Leiden University The many digital objects that are created or used by researchers throughout the Research Lifecycle are largely not FAIR. The resulting lack of provenance leads to fragmentation and loss of the scientific record, inefficient research programming and opaque academic publishing. In the Leiden academic community, we are experimenting with the use FAIR Digital Objects as FAIR and verified “metadata tags” to track the digital assets composing the Research Lifecycle (data, software and methods among them). Erik will report findings from these pilots and prospects for broader application in Leiden and beyond. Research data and metadata that adhere to the FAIR Principles enhance the ability of machines to Find, Access, Interoperate with and Reuse data making AI more trustworthy, equitable, and fit to purpose. This opens the door to virtuous feedback loops where FAIR data engenders trusty AI that is increasingly entrusted with the creation of FAIR data.

10:00	Lightning Talks Promotion of solution sessions, discussion sessions and posters for the day
10:30	Break


11:00	Discussion Session Opportunities and risks at the intersection of AI and Open Research Data Ilona Lipp (1), Cornelia van Scherpenberg (2) Organization(s): 1: University of Leipzig; 2: VDI/VDE Innovation + Technik GmbH	Solution Session (limited to 40 seats) How FAIR-R Is Your Data? Enhancing Legal and Technical Readiness for Open and AI-Enabled Reuse Katharina Miller, Vanessa Guzek Organization(s): Miller International Knowledge
12:00	Lunch & Networking 12:00 – 13:00: Lunch 12:30 – 13:30: Poster & demo session in room Galeria list of posters
13:30	Discussion Session Streamlining Data Publication: Automatic Metadata and Large Datasets in the Age of AI Anna Jacyszyn (1), Felix Bach (1), Tobias Kerzenmacher (2), Etienne Posthumus (1), Shufan Jiang (1), Kerstin Soltau (1), Stefan Hofmann (1) Organization(s): 1: FIZ Karlsruhe – Leibniz Institute for Information Infrastructure; 2: Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research	Solution Session (limited to 40 seats) Research Transparency Priorities and Infrastructure Rene Bekkers Organization(s): VU Amsterdam
14:30	Break
	Break
15:00	Discussion Session Open Science in Decline? Data Sharing between AI commons and predatory capture Katja Mayer (1), Stefan Skupien (2) Organization(s): 1: University of Vienna; 2: Berlin University Alliance	Solution Session (limited to 40 seats) Marbles – Upcycling research waste and making every effort count in the era of Open Science Pablo Hernández Malmierca, Isabel Barriuso Ortega Organization(s): Research Agora
19:00	Conference Dinner

Day 2
2025-10-09

Time (CEST)	Room Alsterarkaden (streaming)	Room Galeria (no streaming)
09:00	Welcome Michela Vignoli, AIT Austrian Institute of Technology Keynote N.N.

10:00	Lightning Talks Promotion of solution sessions, discussion sessions and posters for the day
10:30	Break


11:00	Discussion Session Promoting Shared Understanding and Global Pathways for Open Science and AI in Emerging Research Environments Firas Al Laban, Jan Bernoth Organization(s): University of Potsdam	Solution Session (limited to 40 seats) Open Science Capacity Building in times of AI: Finding solutions with the GATE Anika Müller-Karabil (1), Marie Alavi (2), Julia Claire Prieß-Buchheit (2), Tim Errington (3), Daniel Mietchen (4) Organization(s): 1: Miller International Knowledge (MIK) / Open Science Learning GATE; 2: Kiel University / Open Science Learning GATE; 3: Center for Open Science (COS); 4: FIZ Karlsruhe – Leibniz Institute for Information Infrastructure
12:00	Lunch & Networking 12:00 – 13:00: Lunch 12:30 – 13:30: Poster & demo session in room Galeria list of posters
13:30	Discussion Session AI in Peer Review: Promise, Pitfalls, and Practical Pathways Johanna Havemann (1), Nancy Nyambura (1), Maria Machado (1), Gareth Dyke (1), Veronica Espinoza (1), Tim Errington (2) Organization(s): 1: Access 2 Perspectives; 2: Center for Open Science	Solution Session (limited to 40 seats) AI, plagiarism and text recycling: information resources for academic authors Aysa Ekanger Organization(s): UiT The Arctic University of Norway
14:30	Break
	Break
15:00	Lightning Talks Reports on the outcome of all solution and discussion sessions Chair: Marie Alavie, Kiel University
15:30	Discussion Session / Panel discussion The role of Open Science in safeguarding the research enterprise Openness and transparency is fundamental to driving innovation, inclusion, and accountability in research. Simultaneously, there are considerations, such as security, economic interests, influence, and interference of research, that must be mitigated across a spectrum of risk and that needs to be adaptable to changing trends, such as the rapid growth of artificial intelligence and changing political interests. This discussion session will start with 5 minute impulse statements from each of the panelists before shifting to a moderated discussion with the audience and panelists centered around the following guiding questions: How does open science make science more resilient to external influences?; How does open data and open access contribute to the credibility of research? How can open processes, like preregistration and open peer review, protect against influence and interference? What strategies can be used to balance open science principles with the need to protect sensitive information, such as security and intellectual property? Panellists Peter Suber, Harvard Library / Harvard Open Access Project (online) Henrik Schönemann, Humboldt University of Berlin Julia Prieß-Buchheit, Kiel University Moderation: Tim Errington, Center of Open Science
16:30	Closing Klaus Tochtermann, ZBW – Leibniz Information Centre for Economics