Although we live in the "Big Data" age, medical data is often only available in small numbers. However, these "small data" applications make it much more difficult to use statistical processes and methods of artificial intelligence, which usually require large amounts of data. In the new collaborative research center, an interdisciplinary team of scientists from the fields of computer science, mathematics, statistics, medicine and system modeling is investigating new methods that can be used to discover complex patterns even in relatively small data sets. The Bochum project is developing new statistical methods to identify similarities in different, small data sets.