“Reproducible Research and Open Science”
We cordially invite you to the 7th Open Science Retreat – this time with a focus on “Reproducible Research and Open Science.” Reproducing research results is an important activity for academic transparency and quality control, regardless of the outcome. In practice, however, factors such as insufficient availability of data and code as well as inadequate documentation of the methodology hinder the reproduction of research results. Additionally, reproduction attempts and their results currently play a minor role in scholarly communication. Institutions and practices that foster Open Methodologies, FAIR Data and Open Code can offer solutions to these challenges.
As we come together for this retreat, we aim to delve deeper into these issues through engaging discussions and collaborative sessions. The OSR will kick off with insightful keynote statements of distinguished experts dealing with reproducible research – either in their own research or as practitioners, advocates, and policy-makers. The following interactive discussions shall focus on sharing experiences of best practices and lessons learnt, and on identifying ways to solve the addressed challenges.
We look forward to your participation and insights as we collectively explore ways to overcome challenges and harness the opportunities in Reproducible Research and Open Science.
Programme
Day 1:
September 10, 2024
13.30 – 13.40 Welcome address (Prof. Dr. Marianne Saam, ZBW)
13.40 – 14.20 Impulse statements from
- Lars Vilhuber, PhD (Executive Director, Labor Dynamics Institute, Cornell University and Data Editor, American Economic Association)
- Dr. Evgeny Bobrov (Team leader Open Data and Research Data Management, QUEST Center, Berlin Institute of Health)
- Prof. Abel Brodeur (Associate Professor, Department of Economics, University of Ottawa; Chair of the I4R – Institute for Replication)
14.20 – 14.30 Questions from the participants to the speakers
14.30 – 14.40 Short Break
14.40 – 15.05 Exchange and discussion in break-out groups: Opinion and experiences of the participants on the contents from the impulse statements
15.05 – 15.25 In plenary: short statement from every break-out group (feeding the insights back into the panel)
15.25 – 15.30 Outlook day 2
Day 2:
September 11, 2024
13.30 – 13.40 Welcome & wrap up day 1 (Prof. Dr. Marianne Saam, ZBW)
13.40 – 13.50 Introduction of focus of day 2
13.50 – 15.00 Exchange and discussion in break-out groups including a 10-min break
To guide our discussions, we propose the following questions:
- What would be a minimum standard of reproducibility?
- What (science policy) framework conditions are needed for a practical implementation of reproducibility?
- What are effective strategies across the different scientific disciplines for promoting and implementing reproducible research practices?
15.00 – 15.20 In plenary: short statement from every break-out group (feeding the insights back into the panel)
15.20 – 15.30 Farewell and outlook to upcoming Open Science Retreats
Deadline for application: 19 August 2024
Registration is closed.
Our next topic is
OSR#8
„Artificial Intelligence and Open Science“
Date: 11 and 12 March 2025, 13:30-15:30 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.