Étienne Ollion

Étienne is a CNRS Research Director. He is also a Professor of Sociology at l’École Polytechnique. At CREST-IPP, he leads the CSS initiative. His research focuses on contemporary politics (parliament, state, media). He integrates digital data with more classic data sources and methods. He is currently coordinating an interdisciplinary research project on journalism using NLP and qualitative, historical methods.

Paola Tubaro

Paola is research professor in sociology and technology at CNRS. She practices inter-disciplinary research that leverages synergies between sociology, network science, and artificial intelligence. She is currently studying the place of human labour in the global production networks of artificial intelligence, and social inequalities in digital platform work.

Ivaylo Petev

Ivaylo is a CNRS Research Fellow at CREST where he heads the Sociology group. In his research, he uses mainly quantitative methods to explore questions related to inequalities in consumption and lifestyles, environmental practices, and discrimination from historical and comparative perspectives.

Samuel Coavoux

Samuel is an assistant professor at the ENSAE. He studies audiences, cultural participation, and cultural inequalities using surveys, digital data, and large corpora.

Annina Claesson

Annina Claesson

Annina is a PhD candidate in sociology at CREST and Sciences Po Médialab. She researches practices in political communication among parliamentarians and journalists, with a particular interest in social media dynamics.

Arnault Chatelain

Arnault is a PhD candidate in Economics at CREST. His research makes use of Natural Language Processing methods to study how men and women are portrayed in popular music. He is also very much interested in political economy.

Felix Lennert

Felix is a PhD candidate in Sociology at École Polytechnique. His research interest centers around political polarization and its underlying processes which he studies using large-scale social media data and a diverse set of computational methods.

Mario Herrera

Mario is a PhD Candidate in Economics at CREST. His research is centered around empirical political economy in developing countries. He studies media, elections and crime in Latin America.

Vincent Verger

Vincent is a PhD Candidate in Economics at CREST. He works at the crossroads of Political Economy and Behavioral Economics  has applied NLP and Network Analysis methods to study position taking in the European and French Parliament.

Rubing Shen

Rubing is a PhD Candidate in Sociology jointly at Sciences Po (Médialab) and at l’Institut polytechnique de Paris. His research focuses on the transformations of political journalism in France and in particular on the changes in the narrative framing of political news, leveraging both quantitative and computational methods.

Affiliated Researchers

Julien Boelaert

Julien is an Assistant professor in Political Science at Lille University/CERAPS (currently on sabbatical). His most recent empirical works study the changes in French parliamentary representation over the last 50 years. He has been experimenting with, and thinking about, machine learning for social sciences since 2010, and is currently working on mass-media content analysis with a text-as-data approach.

Gaston Vermersch

Gaston holds an M.Sc. in quantitative economics from the Ecole Normale Supérieure de Lyon and is currently completing an M.Sc. in computational social sciences at ENSAE. He combines digital methods and econometrics to investigate various socio-economic topics.

Yacine Chitour

Yacine is a master’s student in history and sociology at École Normale Supérieure. In 2022, he defended a master’s thesis on digital labour and sex work, and the way they overlap on online platforms. He’s currently working on research projects in economic sociology.

Senmiao Yang

Senmiao is a master’s student in the Quantitative Social Sciences program at the École des hautes études en sciences sociales and the École normale supérieure. He is currently working on media discourse on ethnic minorities using computational methods.