We were delighted to welcome members of the CRC SmallData and the public to a Bazaar Seminar on Synthetic Data today. The aim of this event is to create an opportunity for projects that are working with similar data structures or methodologies to share details of their research, with a view to identifying potential areas for collaboration. The session began with a presentation by our principal investigator, Moritz Hess, on the topic of “Merging explicit and implicit knowledge through synthetic data”. This was followed by a presentation on the subject of “Learning from prior distributions: Synthetic data for prior-data fitted networks” by our doctoral researcher, Johannes Hog.
Following this, the team split into breakout rooms to continue the discussions and explore specific aspects of their respective work in more depth. These discussions provided different perspectives on how to approach the challenges in their research and encouraged scientific cooperation.
We would like to thank all participants for their insightful contributions and we look forward to welcoming you to the next edition of the Bazaar Seminar Series.
Institute of Medical Biometry and Statistics,
Faculty of Medicine and Medical Center –
University of Freiburg