In this research project funded by the Swiss National Science Foundation (SNSF), we are investigating new methods for identifying the origin of epidemic processes.
With the help of graph neural networks and Gaussian processes, the methods should become scalable and applicable to real social networks. We are also researching decentralized algorithms that can improve the efficiency of future contact tracing apps for containing epidemics.
Project details
- Type
- Research project
- Research areas
- Data Science & Empirical Research
- University
- Hochschule für Wirtschaft FHNW / Institute for Competitiveness and Communication
- Partner
- University of Zurich and University of Bern
- Funding
- Health Research and Wellbeing at UAS and UTE
- Running time
- June 2025 - May 2029
- Management
- Martin Sterchi and Matthias Templ
Contact
Dr. Martin Sterchi
Lecturer, Institute for Competitiveness and Communication
- Phone
- +41 62 957 24 18
- martin.sterchi@fhnw.ch
Prof. Dr. Matthias Templ
Lecturer, Institut for Competitiveness and Communication
- Phone
- +41 62 957 30 27
- matthias.templ@fhnw.ch