Christian Pascal Hirsch writes:
It is our pleasure to announce the workshop “H2O: Higher-Order pattern-discovery in High-dimensional data ” at Aarhus University, March 30 & 31, 2026. This is a two-day event designed to forge new connections across three distinct fields of modern statistical research: topological data analysis (TDA), time-series analysis (TSA), and high-dimensional statistics (HDS). At the intersection of these fields lies the critical challenge of identifying patterns in complex data structures, particularly in network data. The workshop features presentations by leading experts in the respective disciplines.
Our primary audience includes both senior and junior researchers working in mathematical statistics and data science.
The invited lecturers are:
- Martin Bladt (University of Copenhagen)
- Axel Bücher (Ruhr-University Bochum)
- Johannes Heiny (Stockholm University)
- Moritz Jirak (University of Vienna)
- Enno Mammen (Heidelberg University)
- Alexei Onatskiy (University of Cambridge)
- Martina Scolamiero (KTH Stockholm)
- Claudia Strauch (Heidelberg University)
We can provide a very small number of accommodation in double rooms for PhD students/postdocs who have no other funding possibilities (separated by gender). Similarly, we can provide reimbursement for train/flight tickets to a very small number of PhD students/postdocs (at most DKK 1500 per person).
Deadline for registration with submitted talk/request for reimbursement: December 12, 2025
Further information can be found at https://www.aarhush2o.live/