Prof. Dr. Alexandre Bovet
DSI Professor and Assistant Professor in Quantitative Network Science at the Department of Mathematical Modeling and Machine Learning at the University of Zurich.
Alexandre’s research combines network science, machine learning, and mathematical modelling to better understand complex systems in our digital society. Together with his team, he investigates topics ranging from social media and democracy to news media quality, biological networks, and fundamental questions in network science.
His vision points toward a deeper understanding of our interconnected world:
«To develop network science methods that reveal how complex social and digital systems evolve and how that knowledge can help strengthen democracy».
Through computational and mathematical approaches, his work uncovers how information spreads, how interconnected systems change over time, and how digital environments shape public discourse.