Save the Date! SmallData Symposium 2024

Join our event for shaping the small data community to advance AI and modeling in settings with limited data — hosted by the Collaborative Research Center (CRC) 1597 “Small Data”. Discover the forefront of small data innovation at the SmallData Symposium, October 7th and 8th, 2024. Join us in Freiburg, Germany, where we will feature […]

Good Scientific Practice Course for Doctoral Researchers

From April 3rd to April 5th, doctoral researchers of our SmallData Integrated Research Training Group (SMART) took part in a dynamic and enriching Good Scientific Practice course. The workshop, hosted by Dr. Michael Mende, provided an engaging platform for docs to delve into essential topics crucial for maintaining ethical standards in scientific research. The 1.5-day, […]

A Noteworthy First SmallData Retreat

The picturesque surroundings of Schloss Reinach in Freiburg provided the perfect backdrop for our first SmallData scientific retreat. From March 14th to 15th, SmallData drew together experts from diverse fields to share insights, collaborate, and delve into addressing the challenges of small data for meaningful discoveries. Day 1 Highlights: The morning plenary session set the […]

Successful Collaboration Kick-Off Days for Doctoral Researchers

We are thrilled to share highlights from our recent Collaboration Kick-Off Days held on February 20th and February 27th, 2024. The goal? To ignite collaboration and spark project ideas with disciplines outside of doctoral researchers’ labs. In preparation for the event, doctoral researchers sought out potential research collaborations with docs from other labs within SmallData. They produced […]

Research Day 2023

SmallData had the pleasure of participating in the University of Freiburg’s Faculty of Medicine’s Research Day on Turning Data-Driven Research into Health Benefits on Friday 24th November 2023. The CRC speaker Harald Binder gave a talk on The Promise of Machine Learning with SmallData and presented the vision and aims of the CRC in general. PI Joschka Bödecker contributed a […]

Successful Welcome Days Workshop for Doctoral Researchers in the SMART Integrated Research Training Group

On November 9th and 10th, 2023, we hosted the inaugural ‘Welcome Days’ workshop for the newly established SmallData Integrated Research Training Group SMART for all doctoral researchers within our CRC. The two-day workshop was designed to familiarize doctoral researchers with SMART’s mission, stimulate group activities, and to initiate networking. Key highlights of the Welcome Days […]

News

Tanja Vogel to coordinate the newly funded German Research Foundation Priority Programme EPIADAPT

Our Associated Researcher, Tanja Vogel, will be coordinating one of the newly selected priority programs established by the German Research Foundation, set to commence in 2025. Out of 43 initiatives that applied, only 11 were selected for this prestigious opportunity, each receiving funding for a duration of six years. The program is titled EPIADAPT, short […]

Welcoming our Nine New Associated Researchers

We are thrilled to announce the addition of nine distinguished Associated Researchers to SmallData. Their experience and expertise span various fields, promising to enrich our Collaborative Research Centre. Joining us are: Daiana Stolz, Ilka Diester, Diana Lindner, Pascal Schlosser, Oliver Amft, Tanja Vogel, Susanne Weber, Adam Kortylewski, Jan Hasenauer. We are excited to embark on […]

Frank Hutter: Graduate Centre Freiburg Opening Ceremony Talk

SmallData had the pleasure of attending the opening ceremony of the University of Freiburg’s new graduate centre (GraCe). Our PI Frank Hutter co-led a thought-provoking talk entitled “Wie wird die KI Promovieren verändern?” (How will AI change graduate education?). Frank Hutter discussed the impact of AI on doctoral research, emphasizing its potential to streamline research […]

Moritz Hess: Workshop on AI and ML in Statistics at GMDS Summer Academy in Munich

We’re excited to announce that PI Moritz Hess will be joint-leading a workshop at the German Society for Medical Informatics, Biometry and Epidemiology (GMDS) Summer School in Munich from the 23rd to the 26th September 2024. The workshop will focus on the practical application, interpretation, and challenges of using AI and ML in Statistics, particularly with small […]

Our Mission

For tackling small data challenges, we focus on three key areas — similarity, transfer, and uncertainty — and establish a shared language for fusing methods across disciplines.

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.

Most Recent Publications

Administrative Manager

Marc Schumacher

Institute of Medical Biometry and Statistics,
Faculty of Medicine and Medical Center –
University of Freiburg