ICCM Satellite Workshop “Applied Geometry and Topology for Data Sciences” was Held at SIMIS

The International Congress of Chinese Mathematicians (ICCM) Satellite Workshop “Applied Geometry and Topology for Data Sciences” was held at Shanghai Institute for mathematics and interdisciplinary science (SIMIS) from 24^th February to 28^th February. The workshop was organized by Fei HAN (NUS, Singapore), Theodore Papamarkou (ZJNU, China), Zhi LV (Fudan, China), Jie WU (BIMSA, China), Kelin XIA (NTU, Singapore) and Hao XU (Zhejiang University).

The emergence of data-driven sciences has transformed the landscape of research and has triggered an industrial revolution. Yet, significant hurdles remain, particularly in creating efficient methods for data representation and feature extraction. In this endeavor, computational and discrete geometry/topology provide essential tools for effectively capturing, representing, and modeling data. Geometric/topological deep learning, in particular, have become instrumental in equipping models to navigate the complex geometric and topological aspects found in challenging datasets. The combination of geometric and topological insights with machine learning can redefine the future of data sciences.

The workshop seeks to merge cutting-edge geometric and topological methods with machine learning models rooted in data-driven techniques. Leading researchers delved into recent progress in discrete geometry/topology, computational approaches, geometric/topological data analysis, and deep learning that leverages geometry and topology. The activity facilitated in-depth discussions across mathematical disciplines and significantly advanced academic exchange at SIMIS.