Mathematics of Data

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Winter term 2019/2020

Eliana Maria Duarte Gelvez: Seven Lectures in Algebraic Statistics
MPI MIS Leipzig, room G3 10, Monday 13:00

Summer term 2020
Nihat Ay:


March 30 - April 03, 2020
Spring School of Mathematical Statistics
Organiser: Carlos Améndola, Eliana Duarte Gelvez, Orlando Marigliano
MPI MIS Leipzig, room E1 05 (Leibniz-Saal)

Initiators Nihat Ay, Christiane Görgen, Guido Montúfar, André Uschmajew 
Aim Data, in its many forms and across various disciplines, is becoming an essential source for research in the 21st century. In fact, data driven knowledge extraction nowadays constitutes one of the core paradigms for scientific discovery. Therefore, the development of efficient techniques for the integration of large data sets is more necessary than ever. Mathematics offers efficient methodologies from its various well-developed subfields for achieving this goal. Recognising the broad scientific expertise at the Max Planck Institute for Mathematics in the Sciences within the scope of data science, our initiative aims at bundling the corresponding efforts and activities in order to consolidate and advance research on Mathematics of Data.
Participating Groups Information Theory of Cognitive Systems
Nihat Ay

Algebraic Statistics
Christiane Görgen

Geometry and Complex Systems
Jürgen Jost

Deep Learning Theory
Guido Montúfar

Opinion dynamics and cultural Conflict in European Spaces
Eckehard Olbrich

Structure of Evolution
Matteo Smerlak

Bioinformatics (Leipzig University)
Peter F. Stadler

Nonlinear Algebra
Bernd Sturmfels

Tensors and Optimization
André Uschmajew