SNF Bridge Discovery project for the anonymization and synthesis of longitudinal data (panel data, mobility data, event data, etc.).
The aim of this project is to develop innovative computational and methodological solutions for anonymizing longitudinal data. Through complex simulations, we want to evaluate the risks and benefits of these newly developed methods, paving the way for a more secure, data-driven future.
Project details
- Type
- Research project
- Research areas
- Data Science & Empirical Research
- Topics
- Data Science und Engineering
- University
- Hochschule für Wirtschaft FHNW / Institute for Competitiveness and Communication
- Partner
- ETH Zürich
- Funding
- Bridge - Discovery
- Running time
- 01.11.2023 – 31.10.2026
- Management
- Matthias Templ (FHNW) and Murat Sariyar (BFH)
Contact
Prof. Dr. Matthias Templ
Lecturer, Institut for Competitiveness and Communication
- Phone
- +41 62 957 30 27
- matthias.templ@fhnw.ch