Gaël Le Mens is Professor at Universitat Pompeu Fabra and Affiliated Professor of the BSE. Professor Le Mens's research focuses on how the social environment and learning processes affect inference, judgment and valuation. His current theoretical focus is on developing models of the influence of categories on inference and valuation, models of how people learn from feedback on Twitter and models of the dynamics of collective valuation (such as online review scores) and popularity. Professor Le Mens tests the predictions of his models using a variety of methods, such as the analysis of text data using deep learning (BERT) and a combination of online and laboratory experiments.
His research has been published in top scientific journals such as Psychological Review, the Proceedings of the National Academy of Science of the USA (PNAS), Psychological Science, Cognition, Journal of Personality and Social Psychology, the American Journal of Political Science, Sociological Science, Organization Science, Management Science and Administrative Science Quarterly. He has taught graduate courses at INSEAD, London Business School, ESADE, and the University of Lugano. He has also given guest lectures at Stanford and MIT.
- ICREA Acadèmia Grant (2022-27)
- European Research Council (ERC) Consolidator Grant: "The Implications of Selective Information Sampling for Individual and Collective Judgments" (2017)
Project website - BSE Seed Grant, "Information Sampling in Coordination Games: An Experimental Investigation" (2014)
Working Papers
Publications
Using Machine Learning to Uncover the Semantics of Concepts: How Well Do Typicality Measures Extracted from a BERT Text Classifier Match Human Judgments of Genre Typicality?
Sociological Science, Vol.10, 82-117, March 2023Open Access
Politician-Citizen Interactions and Dynamic Representation: Evidence from Twitter
American Journal of Political Science, March 2023, https://doi.org/10.1111/ajps.12772Open Access