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

Name of applicant

Nina Dörnemann

Title

Assistant Professor

Institution

Aarhus University

Amount

DKK 79,000

Year

2025

Type of grant

Conferences

Summary

We explore how shapes, trends, and complex patterns hide in modern data — from vehicle movements in large traffic networks to brain maps displaying thousands of neural connections. This two-day workshop brings together experts in topological data analysis, time series, and high-dimensional statistics to better understand today’s data-rich world.

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