Germain Gauthier

Germain Gauthier is an Assistant Professor at the Department of Social and Political Sciences, Bocconi University. His work bridges economics and political science with a focus on political economy, public economics, and machine learning methods. He develops AI tools for social scientists, particularly for analyzing unstructured data like texts and images.

• Ph.D. in Economics, Ecole Polytechnique (2018–2023)
• Postdoctoral Researcher, ETH Zürich (2023)
• M.Sc. in Analysis and Policy in Economics, Paris School of Economics (2017–2018)
• M.Sc. in Quantitative Economics, HEC Paris (2013–2017)

His research spans two main areas: applied studies on digital technologies' societal consequences (e.g., X's algorithms, #MeToo's impact) and methodological innovations in machine learning for social science data. Recent publications include work on protest dynamics, inequality, and narrative extraction from texts.

Key trends in his publications include:

• Machine learning applications to political and economic analysis
• Text mining for social science narratives
• Empirical studies on protest movements and digital governance
• Algorithmic bias in labor markets
• Economic policy evaluation using big data

He has received significant funding:

• Swiss National Sciences Foundation Grant (300K CHF, 2023–2026)
• Swiss National Sciences Foundation Grant (100K CHF, 2020)
• Laboratoire d’Excellence Ph.D. Grant (2018–2023)

He teaches courses on Public Finance (Bocconi) and Text as Data for Social Sciences (LMU München), and has developed open-source software packages like relatio and DeepLatent for text analysis and latent variable modeling.