In celebration of German Diversity Day, SmallData hosted an Equity & Diversity Quiz as part of our internal Progress Seminar on May 27, 2025. The German Diversity Day is a nationwide initiative promoting awareness and action around diversity and inclusion — values we actively embrace in our CRC. Our special quiz session sparked an engaging competition among doctoral researchers, which encouraged reflection […]
On May 23, the CRC 1597 SmallData hosted a Workshop on “Causal Modeling with Small Data”, moderated by our PI Nadine Binder. Causal inference and modeling plays an important role across scientific fields and it’s of particular interest in medical related research, in which the lack of available data often poses a small data challenge. Julius […]
On 16 May, we launched the first lecture in our new SMART Tandem Lecture Series 2025 – and it was a great success! The Series showcases interdisciplinary research by Principal Investigators from different disciplines. Each session features joint project presentations, updates, and insights into their collaborative process, including challenges and successes. The first lecture was […]
The CRC 1597 Small Data invited Emmy Noether fellow France Rose from the University of Cologne to give a presentation on her research on animal behaviour time series. Time series data, that is, repeated measurements over time of a value, is of particular interest given the potential it has to predict future data. The current […]
On April 17, 2025, we marked the culmination of a brilliant journey for the SMART Master Lab Cohort 1.0 students. After 10 weeks of in-depth research, collaboration with doctoral researchers and principal investigators, the students presented their exceptional work during the final presentation event. CRC members joined us in celebrating the achievements of the first […]
The Center for Pediatrics and Adolescent Medicine, Freiburg University Hospital, is seeking a highly motivated doctoral researcher to join the team. The successful candidate will conduct research under supervision of our PI Miriam Schmidts, starting as soon as possible in Project A04, An effective similarity integration multi-modal graph neural network method to facilitate disease gene […]
Do you find yourself wondering what SmallData has been up to? In this first edition of our Newsletter you’ll find an overview of highlighted publications, events and achievements since our beginnings in October 2023 to the current date, as well as a selection of our upcoming events open to the general public. Note, some browsers […]
We are excited to announce the first half of our SmallData Seminar & Workshop Series for 2025! Note, some browsers do not display the inline PDF. Please click on the link to see the schedule. More details, including descriptions of each event, can be found here. Events added at a later point will be continuously updated […]
On April 23, our early career researcher Simon Ging (B05) will talk about his current research on building datasets for Vision-Language models at the Stuttgart AI, Machine Learning and Computer Vision Meetup organized by Antonio Rueda-Toicen. The goal of this event is to bring together a community of data scientists, machine learning engineers, and open source enthusiasts who want […]
The recent progress in artificial intelligence has been facilitated by big data volumes and data-driven modeling approaches. However, there is a much larger number of applications where data analysis has to be performed with a relatively small number of observations. This can be addressed with knowledge-driven approaches, such as differential equations that incorporate biomedical domain knowledge, or by adapting data-driven approaches, e.g., neural networks, or ideally by combining the two types of approaches. When developing such methods for small data settings, three key areas need to be addressed: similarity, transfer, and uncertainty. This enables combination of similar observations, e.g., from different hospitals, and more generally transfer of information, e.g., between genome screening and mechanistic models, while quantifying and reducing uncertainty. For creating comprehensive solutions that fuse such exciting emerging ideas, our Collaborative Research Center (CRC) 1597 'Small Data' (SmallData), which started on October 1st, 2023, integrates contributions from computer science, mathematics, and statistics/systems modeling, with input from biomedicine. Our doctoral program SMART is key for establishing a shared language across those disciplines. We are located in Freiburg, Germany, with external partners in Bochum and Greifswald. For more details see our scientific framework and interdisciplinary approach, or have a look at the individual research projects.
Institute of Medical Biometry and Statistics,
Faculty of Medicine and Medical Center –
University of Freiburg
