8th Open Science Retreat: 11-12 March 2025 – apply now!
“Artificial Intelligence and Open Science”
We cordially invite you to the 8th Open Science Retreat – this time with a focus on “Artificial Intelligence and Open Science”. Applying AI in the research process and still complying with the principles of Open science presents challenges such as ensuring transparency and reproducibility in AI models, which often function as “black boxes”. On the other hand, for instance, AI has the potential to revolutionize science communication by simplifying complex scientific concepts and tailoring explanations to diverse audiences through natural language processing.
In this retreat, from the viewpoint of Open Science principles such as transparency, accessibility, reproducibility, and reusability, we would like to explore which effects the application of AI tools – in particular Large Language Models (LLM) – has and how possible solution paths could look like to overcome current challenges. The OSR will kick off with insightful keynote statements of distinguished experts and will continue with interactive discussions focussing on sharing experiences, best practices and lessons learnt.
To guide our discussions, we propose the following questions:
- What can the contribution of ‘Explainable AI’ be to solving these challenges?
- What are effective strategies, recommendations, best practices or lessons-learnt to applying AI in a responsible manner for upholding the Open Science principles?
- What (science policy) framework conditions are needed for Open Science and AI to reconcile?
We look forward to your participation and insights!
Programme
Day 1:
March 11, 2025
09.00 – 09.10 Welcome address (Prof Dr Ralf Krestel, ZBW)
09.10 – 09.50 Impulse statement from
- Prof Erik Cambria (Professor of Computing and Data Science, Nanyang Technological University (NTU) Singapore)
09.50 – 10.00 Questions from the participants to the speakers
10.00 – 10.10 Short Break
10.10 – 10.35 Exchange and discussion in break-out groups: Opinion and experiences of the participants on the contents from the impulse statements
10.35 – 10.55 In plenary: short statement from every break-out group (feeding the insights back into the panel)
10.55 – 11.00 Outlook day 2
Day 2:
March 12, 2025
09.00 – 09.10 Welcome & wrap up day 1 (Prof Dr Ralf Krestel, ZBW)
09.10 – 09.20 Introduction of focus of day 2
09.20 – 10.30 Exchange and discussion in break-out groups including a 10-min break
To guide our discussions, we propose the following questions:
- What can the contribution of ‘Explainable AI’ be to solving these challenges?
- What are effective strategies, recommendations, best practices or lessons-learnt to applying AI in a responsible manner for upholding the Open Science principles?
- What (science policy) framework conditions are needed for Open Science and AI to reconcile?
10.30 – 10.50 In plenary: short statement from every break-out group (feeding the insights back into the panel)
10.50 – 11.00 Farewell and outlook to upcoming Open Science Retreats
Deadline for application: 26 February 2025
Our next topic is
OSR#9
„Diamond Open Access“
Date: 23 and 24 September 2025, 15:00-17:00 CET
More information will follow.
Are you interested in past retreats and their results? Check out the reviews here
ZBW Open Science Engagement
The ZBW – Leibniz Information Centre for Economics (www.zbw.eu) presents its activities in Open Science: a triad of research, engagement and development for Open Science.
- The ZBW does research in the area of Open Science, in particular in computer and information science, in media science and digital economics.
It wants to strengthen the commercial independence of, and excellence in, the science system. The ZBW wants to enable easy and quick access to scientific findings, publications and data. - The ZBW is an active player in science policy, nationally and internationally, to implement Open Science.
- At the same time, the ZBW actively builds this Open Science ideal by developing and integrating new technologies that enable access and remove barriers.