We are pleased to announce the China–Canada–Hungary Joint Workshop on Mathematics of Complexity in Public Health, which will be held from 13 to 17 May 2026 at Fudan University (Handan Campus), Shanghai, China. This is the inaugural workshop of the Canada–China–Hungary (C2H) Network of Mathematics for Innovation in Public Health, a collaborative network to foster collaboration across disciplines and nations to build a sustainable research and training network for the future of AI technologies, including mathematical modelling and analytics for public health.
This workshop aims to bring together researchers from China, Canada, and Hungary to exchange recent advances in the mathematics of complexity as applied to public health. Particular emphasis will be placed on mathematical problems motivated by real-world public health challenges, as well as on related theoretical, computational, and methodological developments. The scope of the meeting is intentionally broad, encouraging interaction across diverse areas of mathematical, statistical, and computational sciences, while fostering close collaboration with public health expertise.
The workshop will be a focused, in-person meeting with approximately 40–50 participants, including senior researchers, postdoctoral fellows, and graduate students. The scientific programme will consist of invited lectures, contributed presentations, and structured discussion sessions, allowing ample time for in-depth academic exchange, networking, and the development of new collaborative initiatives.
Workshop details
Dates: 13–17 May 2026
Venue: Fudan University, Handan Campus, Shanghai, China
Format: In-person
Theme: Mathematics of Complexity in Public Health
Participants: Researchers from China, Canada, and Hungary
Scientific Committee
Wei Lin (Chair), Research Institute of Intelligent Complex Systems, Fudan University, China
Seyed Moghadas, Centre of Excellence in Artificial Intelligence for Public Health Advancement, York University, Canada
Beatrix Oroszi, Semmelweis Center of Epidemiology and Surveillance, Hungary
Gergely Röst, National Laboratory for Health Security, University of Szeged, Hungary
Jianhong Wu, Laboratory for Industrial and Applied Mathematics, York University, Canada
Hongjie Yu, Shanghai Institute of Infectious Diseases and Biosecurity, School of Public Health, Fudan University, China
Organizer Committee
Ye Yao, Wei Yang, Bowei Qin, Qunxi Zhu-Fudan University
Tiandong Wang- Shanghai Center for Mathematical Sciences
Chuting Wang- Fields Institute for Research in Mathematical Sciences
Organizer Institutions
Research Institute of Intelligent Complex Systems, Fudan University, China
School of Mathematical Sciences, Fudan University, China
Shanghai Center for Mathematical Sciences, China
Feishu, China
Fields Institute for Research in Mathematical Sciences, Canada
York University, Canada
Centre of Excellence in Artificial Intelligence for Public Health Advancement (AIPHA), Canada
National Laboratory for Health Security, Hungary
Hungarian National Laboratory, Hungary
Bolyai Institute, University of Szeged, Hungary
Further information regarding the programme and participation will be circulated in due course.
Contacts:
Ye Yao (Fudan University, Email: yyao@fudan.edu.cn)
Wei Yang (Fudan University, Email: yangwei@fudan.edu.cn)
