Geometric and topological analysis of data (which by their nature need not be geometric at all) is a modern up-to-date topic on the cross-border of computer science, machine learning, computational and discrete geometry, topology, graph and probability theory. The aim of this small international workshop is to bring together experts and young scientists from these rather different fields of mathematics and let them inspire each other to foster new ideas. PostDocs and PhD students will follow the overview talks by leading scientists and present their own research in a poster session.
- Computational topology and homology
- Geometric graphs and their asymptotics
- Stochastic geometry and spatial statistics
- Geometric data science