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At SmallData, we are passionate about advancing knowledge and promoting innovation in the field of small data. Our events play a key role in this mission by bringing together leading experts, pioneering researchers, and enthusiastic learners. Through our lectures, seminars, and workshops, we explore and develop small data research and methodologies. By subscribing to our […]

How Rare Genetic Variants Shape Human Health: Insights from a New SmallData Nature Genetics Paper

In a groundbreaking Nature Genetics paper, our PIs—Anna Köttgen, Miriam Schmidts, and Johannes Hertel—along with early career researchers Nora Scherer and Daniel Fässler, have uncovered key insights into how rare damaging heterozygous variants impact gene function, traits, and disease. Our associated researcher, Pascal Schlosser, and external advisory board member, Ines Thiele, also contributed to this […]

SmallData at Digital Health Research Night 2025

Last night, we were excited to participate in the Digital Health Research Night at the Technical Faculty in Freiburg, where researchers and students came together to explore opportunities for graduate research and collaboration at the intersection of medicine, data science, and technology. Our team presented a poster showcasing SmallData, the SMART group, and our new SMART Master Lab Program, sparking engaging discussions […]

Outstanding Workshop Presentation Award @IROS2024!

During the latest edition of the International Conference on Intelligent Robots and Systems (IROS), at the workshop “Long-Term Perception for Autonomy in Dynamic Human-shared Environments: What Do Robots Need?”, our PI Abhinav Valada, along with Daniele Cattaneo, showcased their work titled “Taxonomy-Aware Continual Semantic Segmentation in Hyperbolic Spaces for Open-World Perception”, for which they were awarded the Outstanding […]

SmallData Doctoral Researcher Carola Heinzel comes back from her research stay in the USA!

As part of her doctoral studies, Carola Heinzel (C01) visited Professor Jason Schweinsberg at the University of California, San Diego for about 10 weeks. During her time in San Diego, she focused on enhancing mathematical theory to estimate the net growth rate of cancer even for a small number of cells. This scientific exchange not […]

New Nature Paper on TabPFN: the best performing predicting tool in small tabular datasets

Most of us have at some point faced data of different sorts in a spreadsheet, from expense reports to medical records; this is what is called tabular data. Since the creation of data science, different tools have been developed to analyze and further learn from this information. What was once done by hand nowadays is […]

A strong finish to 2024: New Ecology Letters publication

In December, our PIs, Carsten Dormann and Joschka Boedecker, published a paper in the Ecology Letters journal on their work on process-informed neural networks (PINNs). PINNs are neural networks that incorporate process based models into their prediction process. This combination is particularly useful in the field of ecology, as collected data is often sparse and […]

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 Kaufmann, 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, […]

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 […]

Administrative Manager

Marc Schumacher

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