Andrea De Angelis
Assistant Professor in Computational Social and Political Sciences University of Milan
I study the challenges facing democratic politics in the digital age, from misinformation and algorithmic exposure to changing patterns of political participation and judgment. My work combines surveys, experiments, computational methods, and large-scale digital trace data.
I am also a member of the Digital Society Initiative, co-initiator of the Lucerne Master in Computational Social Science (LUMACSS), and Editor at Frontiers in Political Science and Politics and Governance.
Research
My research focuses on digital democracy, misinformation, and computational methods. I integrate surveys, experiments, and digital trace data to study political attitudes in online environments.
Teaching
I teach courses on statistics, causal inference, and data mining, with a strong emphasis on hands-on coding and reproducible research workflows.
Supervision
I supervise Master’s and PhD theses on digital media, political behaviour, and computational social science.