The area of “Mathematics of Data Science”, focusing on the development and analysis of mathematical (including statistical) methods in the context of data, including and touching numerous areas such as applied probability control theory, functional analysis. geometry, graph theory, imaging science, machine learning, numerical algorithms, optimization, and topology plays a unique role in MATH+. In fact, it is crucial for almost all of the application areas and emerging fields and is also vividly present in the BMS in the Research Training Area 8 (Mathematics of Data Science).

To provide a platform for scientific discussions, lecture series, and other activities supporting general knowledge gain, interactions, and research in this exciting field, we recently founded the MATH+ Activity Group on Mathematics of Data Science. Among the planned events are an annual research retreat, discussion-intense Hot-Topic Talks, and a special colloquium series.