Bazaar Seminar on Synthetic Data

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 […]

Similarity brings us together

Members of our CRC joined today for a seminar on the topic of “Similarity”, led by our principal investigators Johannes Hertel, from the University of Greifswald, and Nadine Binder, from the University of Freiburg. The goal of the session was to develop a common understanding of the concept of similarity and discuss how we approach […]

SMART Retreat 2024: Three Days of Collaboration & Productivity in The Black Forest

From November 13th to 15th, our doctoral researchers gathered at the Schwarzwald Lodge Rothaus for an unforgettable first SMART Retreat. Day 1: Hitting the ground running We kicked things off with parallel Write/Code/Collab/Discuss (WCCD) sessions, a structure that would continue throughout the retreat, with changing pitches each day. Doctoral researchers jumped straight into collaboratively working […]

SmallData Symposium 2024, making the most out of small data!

The SmallData Symposium 2024 has concluded, and we are excited to reflect on the event’s many scientific highlights. From specialized talks delivered by our esteemed speakers to the lively discussions between panelists and participants, this symposium offered a wealth of knowledge for all attendees. The opening addresses by Stefan Rensing, Lutz Hein, and Frederik Wenz […]

Empowering Conversations at Our Equity and Diversity Session

We recently hosted an enriching Equity and Diversity Session, in collaboration with the ‘Women in Data Science Worldwide’ (WiDS) initiative*, entitled “Equity and Diversity in the Era of AI and Small Data”. This event brought together members of SmallData and the public to explore vital topics concerning equity and diversity within our CRC. The session […]

SmallData Seminar: Bazaar Seminar Brings Profile Likelihood Experts Together!

On July 5th, a group of our principal investigators, early career scientists, and members of the public gathered for another session on our SmallData Seminar Series. In this Bazaar edition, representatives from projects handling similar data structures presented some of their methodologies, showing insights into how they used some of their data analysis tools. Jacques […]

Bazaar seminar group discussion

News

SmallData Joins Girls' Day 2025 – Sign up available now!

We’re excited to announce that SmallData will be participating in this year’s Girls’ Day on April 3, 2025!  Girls’ Day is an annual event in Germany designed to inspire and empower girls and young women to explore career opportunities in fields where women are traditionally underrepresented. These include areas such as science, technology, engineering, mathematics […]

New Nature Methods Publication: Effective genome editing with an enhanced ISDra2 TnpB system and deep learning-predicted ωRNAs

Our doctoral researcher, Masako Kauffmann, and our PI, Toni Cathomen, were involved in a research article recently published in the Nature Methods journal titled: “Effective genome editing with an enhanced ISDra2 TnpB system and deep learning-predicted ωRNAs”. In this groundbreaking work, the research team optimized the design of a compact endonuclease (ISDra2 TnpB), originally found […]

SmallData@NeurIPS 2024

Established in 1987, the Conference and Workshop on Neural Information Processing Systems (also known as NeurIPS) is renowned as one of the most prestigious conferences in the field of machine learning and artificial intelligence, having a singular interdisciplinary approach with the field of computational neuroscience. This year’s event took place in the city of Vancouver, […]

“How AutoML Creates New Opportunities for Europe”, Cyber Valley Podcast with Frank Hutter

Our principal investigator, Frank Hutter, was recently featured in an episode of the Cyber Valley Podcast. Cyber Valley is Europe’s largest research consortium in the field of artificial intelligence. In their podcast, they strive to tackle the real challenges that AI research faces with the collaboration of guest researchers from the scientific community. In their […]

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