What is topological data analysis and why you should do it?

by Henri Riihimäki (Stockholm University)

Monday 1 Jun 2026, 15:30 → 17:30 Europe/Stockholm

Albano 3: 6228 - Mega (22 seats) (Albano Building 3)

Topological data analysis arose from the idea of employing tools of algebraic topology to study the "shape" of data. Its catalyst can be traced to the algebraic explanation provided in 2005, and since then the field has lead to both evolving mathematical theory and vast landscape of applications. In this talk I will give an overview of the main tool of topological data analysis, persistent homology, and explain how it can characterize high-dimensional qualitative structures from both complex, non-linear point set and network data that other data analytical tools do not capture. The talk is motivated by example applications from different areas of physics.

zoom : https://stockholmuniversity.zoom.us/j/622224375