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Persistent Seminar – a Biweekly Forum on Persistent Homology, Computational Algebraic Topology & Applications (Start: May 14)
We are happy to announce the start of this semester's Persistent Seminar – a biweekly forum on persistent homology, computational algebraic topology and its applications. The new seminar format replaces the previous journal club on Topological Data Analysis. The kick-off session takes place on May 14 with an organizational slot and an inaugural talk by Freya Jensen (Interdisciplinary Center for Scientific Computing, IWR) on “Persistent Spectral Sequences and Where to Find Them.” Anyone is welcome who wishes to exchange about open problems, preprints, new ideas or is just curious about Topological Data Analysis.
Topological Data Analysis (TDA) is a recent development in mathematics and data analysis that offers versatile tools to uncover potentially hidden topological structures in data. The basic idea is using a homology theory – called persistent homology – to unveil and identify structures in data via a notion of its topology. However, interpreting these structures is by no means an easy task, and depends on the specific details of the underlying system. Within STRUCTURES, the EP Mathematics and Data provides a platform across the fields of the natural sciences and mathematics to discuss applications and foundations of TDA and beyond.
Further information:
- Where and When: Mathematikon SR 00.200, Wednesdays 14‑16 h, every other week
- Contact: Freya Jensen (IWR)