H2O: Higher-Order pattern-discovery in High-dimensional data

The workshop "H2O: Higher-Order pattern-discovery in High-dimensional data " 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. In the last decades, advances in measurement technologies have afforded data of unprecedented wealth and complexity.Usually, the statistical systems in TSA are much simpler than those considered by TDA or HDS, and usually, TDA and HDS cannot account for dynamic developments. The aim of this workshop is now to bring together these three distinct communities and create collaborations for new, synthesized approaches. We envision the workshop as a catalyst for new research connections, with the goal of building momentum through subsequent meetings for long-term research projects.