09:00

Welcome
Klaus Tochtermann,

ZBW – Leibniz Information Centre for Economics

(video recording)

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.  

(video recording)

10:00

Pitches
Promotion of solution sessions,

discussion sessions and posters for the day

10:30

Break

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

12:00 – 13:00: Lunch (at the hotel)

Networking

12:30 – 13:30: Poster & demo session (corridor in front of the room “Galeria”)
list of posters /demos

13:30

Discussion Session
Streamlining Data Publication: Automatic Metadata and Large Datasets in the Age of AI

Anna Jacyszyn (1), Felix Bach (1), Shufan Jiang (1), Tobias Kerzenmacher (2), Mahsa Vafaie (1)
Organization(s): 1: FIZ Karlsruhe – Leibniz Institute for Information Infrastructure; 2: Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research

(video recording)

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

(video recording)

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

16:00

–

18:00

Open Space

The conference rooms will remain open until 18:00 for continuing discussions, networking, etc.

Open Space

The conference rooms will remain open until 18:00 for continuing discussions, networking, etc.

19:00

Conference Dinner

Conference Dinner

09:00

Welcome
Marie Alavie, Kiel University

Keynote
Data Infrastructures and Data Competencies as a Foundation for AI Projects
Sonja Schimmler, TU Berlin / Fraunhofer FOKUS

This presentation will examine the critical components that drive AI progress, with a focus on the need for large-scale, machine-interpretable data that adapts to the unique demands of different sectors. Key topics will include transparency and reproducibility in AI projects, as well as the importance of making essential resources—publications, data, models, and code—available and interconnected.

Robust data infrastructures and profound data competencies are important for the AI community, supporting every stage of the data lifecycle—from collection and creation to processing, analysis, publishing, archiving, and reuse of resources. This talk will highlight the foundational role of infrastructures and competencies in AI-driven initiatives, showcasing several ongoing initiatives and illustrating how they contribute to a modern research environment.

(video recording)

10:00

Pitches
Promotion of solution sessions,

discussion sessions and posters for the day

10:30

Break

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

(video recording)

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)
Organization(s): 1: Miller International Knowledge (MIK) / Open Science Learning GATE; 2: Kiel University / Open Science Learning GATE;

12:00

Lunch

12:00 – 13:00: Lunch (at the hotel)

Networking

12:30 – 13:30: Poster & demo session (corridor in front of the room “Galeria”)
list of posters /demos

13:30

Discussion Session
AI in Peer Review: Promise, Pitfalls, and Practical Pathways

Johanna Havemann (1), Nancy Nyambura (1), Tim Errington (2)
Organization(s): 1: Access 2 Perspectives; 2: Center for Open Science

(video recording)

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

Reports
Reports on the outcome of all solution and discussion sessions

Chair: Daniel Mietchen, FIZ Karlsruhe

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:

Panellists

Moderation: Tim Errington, Center of Open Science

(video recording)

16:30

Closing
Klaus Tochtermann, ZBW – Leibniz Information Centre for Economics

(video recording)