Germain Gauthier
Assistant Professor of Economics
Department of Social and Political Sciences
Bocconi University
germain.gauthier@unibocconi.it
curriculum vitae
Research
Methods
Among other things, I am developing new AI methods for social scientists working with unstructured data, such as texts, images, audio, and video recordings.
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Measuring Crime Incidence and Reporting: Method and Application to #MeToo
working paper -
Deep Latent Variable Models for Unstructured Data
(with Philine Widmer & Elliott Ash)
Paper available upon request -
Neural Ideal Point Models
(with Hugo Subtil & Philine Widmer)
Paper available upon request -
Relatio: Text Semantics Capture Political and Economic Narratives
(with Elliott Ash & Philine Widmer)
Political Analysis, 2023
published version, working paper, replication files
Applied Work
I mainly study the societal consequences of digital technologies, such as social media and artificial intelligence.
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The Lifecycle of Protests in the Digital Age
(with Pierre Boyer, Yves Le Yaouanq, Vincent Rollet & Benoît Schmutz)
working paper -
The Political Effects of X’s Recommender Algorithm
(with Roland Hodler, Philine Widmer & Ekaterina Zhuravskaya)
Swiss National Science Foundation Grant No. 100018_215554
Paper available upon request -
Artificial Inequality: Large Language Models Disadvantage Women Job Seekers
(with Kenza Elass, Debora Nozza, and Paola Profeta)
Paper available upon request -
Les déterminants de la mobilisation des “Gilets Jaunes”
(with Pierre Boyer, Thomas Delemotte, Vincent Rollet & Benoît Schmutz)
Revue Economique, Vol. 71 - 1. Jan. 2020
published version, policy brief, column
Teaching
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Graduate Level - Diversity and Global Policy (Bocconi, 2023/2024)
slides -
Undergraduate Level - Public Finance (Bocconi, 2023/2024)
slides -
Graduate Level - Text as Data for the Social Sciences (LMU, 2022/2023)
slides -
Graduate Level - Introductory Course to Stata (CREST, 2020)
gitlab