The explosion of cultural data, coupled with the recent advances in machine learning, natural language processing, big data and cognitive science, offers a unique opportunity to better understand the human mind and human culture.
Dubourg, E., Thouzeau, V., de Dampierre, C., & Baumard, N. Exploratory preferences explain the cultural success of imaginary worlds in modern societies. https://doi.org/10.31234/osf.io/d9uqs
Hyafil, A. & Baumard, N. (2022) Evoked and Transmitted Culture models: Using bayesian methods to infer the evolution of cultural traits in history, Plos One
Baumard, N., Huillery, E. and Zabrocki, L. (in review) The Economic Origins of Ascetic Values : Evidence from Medieval Europe
Martin, M. & Baumard, N. (2020) The rise of prosociality in fiction preceded democratic revolutions in Early Modern Europe, PNAS
Safra, L., Chevallier, C., Grèzes, J., Baumard, N. (2020) Tracking the rise of trust in history using machine learning and paintings, Nature Communication
Jacquet, P.O., Pazhoohi, F., Findling C., Mell, H., Chevallier, C., Baumard, N. (in press) Predictive multivariate modelling of religiosity in 295 000 individuals from WEIRD and non-WEIRD populations, Humanities and Social Sciences Communications
Baumard, N., Hyafil, A. Morris, I., and Boyer, P., (2015) Increased affluence explains the emergence of ascetic wisdoms and moralizing religions. Current Biology, 25(1), 10-15. (See press coverage in Science)