Transforming the World

through Mathematics

Berlin Mathematics Research Center

MATH+, the Berlin Mathematics Research Center, is a cross-institutional and interdisciplinary Cluster of Excellence. It sets out to explore and further develop new approaches in application-oriented mathematics. Emphasis is placed on mathematical principles for using ever larger amounts of data in life and material sciences, in energy and network research, and in the humanities and social sciences.

 

MATH+ is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany´s Excellence Strategy (EXC-2046/2, project ID 390685689). After the first period from 2019-2025, its second funding period started in January 2026 and will end by December 2032. It is a joint project of the three major universities in Berlin – Freie Universität Berlin, Humboldt-Universität zu Berlin, and Technische Universität Berlin – as well as the Weierstrass Institute for Applied Analysis and Stochastics (WIAS) and the Zuse Institute Berlin (ZIB). MATH+ continues the success stories of the renowned Research Center Matheon and the Excellence-Graduate School Berlin Mathematical School (BMS).

News

Events

Hermiller_2026-5

8 May – Susan Hermiller: A tale of three unknotting conjectures

30.04.2026
In this talk, Hermiller will discuss three conjectures, each aimed at simplifying the task of computing unknotting numbers. She will describe how her resolution of one of these conjectures several years ago, in joint work with Mark Brittenham, led them recently to resolve another – the (non)additivity of unknotting number under connected sum.
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7-11 September – Conference at HU Berlin: Celebrating the 200th Anniversary of Crelle’s Journal and the Birth of Riemann

16.04.2026
The Crelle journal, founded in 1826, has been closely linked to the University of Berlin and the Berlin Academy of Sciences and Humanities. The conference will focus on recent development of prominent moduli spaces in mathematics, starting from moduli space of curves, introduced by Bernhard Riemann in 1857 in his paper "Theorie der Abelschen Functionen," published in Crelle's journal.
Carpentier_2026-4_A1

17 April – Alexandra Carpentier: Statistical and computational challenges in unsupervised learning: focus on ranking

13.04.2026
In this talk, we focus on understanding the problem of ranking from both an informational perspective – characterising the fundamental statistical thresholds for optimal estimation – and a computational one – characterising the fundamental limits of computationally efficient estimation. A core question for these problems is whether statistical optimality is compatible with computational efficiency...
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