北京雁栖湖应用数学研究院

A significant challenge in computational topology and applied research today lies in the mutual knowledge gaps between disciplines: mathematicians often lack expertise in data science and computational methodologies, while data and computer scientists face difficulties in adopting cutting-edge mathematical tools and topological techniques. The proposed workshop is designed to bridge these divides, fostering interdisciplinary collaboration to address shared research challenges.
Concurrently, Beijing Key Laboratory of Topological Statistics and Applications for Complex Systems will utilize this conference to strengthen its integrated model for translating theoretical insights into practical applications. Through initiatives such as academic exchanges, open-data platforms, and joint research programs, the laboratory aims to embed itself within the global complex systems research community. By accelerating the industrial deployment of topological methods in biomedicine and advanced materials, it seeks to pioneer a transformative framework that unites mathematical rigor with computational innovation for complex systems analysis.