Charles de Dampierre, PhD

Computational Social Science

I’m broadly interested in how insights from human psychology can illuminate larger societal dynamics—particularly long-term trends in human development and their relationship to cultural and scientific production and consumption. To explore these questions, I develop and apply tools from artificial intelligence and statistics. I describe myself as a Computational Social Scientist with a strong orientation toward cognitive science and AI.

I hold a Master’s degree in Business and Economics from HEC Paris and a Master’s in Cognitive Science from ENS Paris. I also earned a PhD in Computational Social Science from ENS Paris, where I developed and applied advanced methods—such as unseen-species models and visual topic modeling—to uncover patterns in large-scale behavioral datasets. My research focused on mapping long-term trends in human dynamics and development, with a particular emphasis on reducing bias in the analysis of complex social phenomena.

To date, I have published research in PNAS, Scientometrics, Scientific Reports, and Current Research in Ecological and Social Psychology. I also enjoy building software and regularly contribute to open-source projects on GitHub.

I am also the CEO of Bunka.ai, an AI company that builds software to analyze and understand social dynamics in AI interactions.

Published Articles

My publication history can be found on Google Scholar.

de Dampierre, C., Kestemont, M., Karsdorp, F., Chevalier, C., Harper, K., Huillery, E., Koyama, M., Voth, J., Bolt, J., van Zanden, J. L., Bassino, J.-P., Chen, T., Kaše, V., Kumon, Y., Morris, I., Nakabayashi, M., Shatzmiller, M., Xu, T., Yazdani, K., Thouzeau, V., & Baumard, N. (2025). Cultural production reveals transitions to sustained human development in both European and non-European societies. Nature (In review)

de Dampierre, C., & Mercier, H. (2025). The structure and evolution of scholarly interests from antiquity to the eighteenth century. Scientometrics, 1-21.

Sabat, M., de Dampierre, C., & Tallon-Baudry, C. (2025). Evidence for domain-general arousal from semantic and neuroimaging meta-analyses reconciles opposing views on arousal. Proceedings of the National Academy of Sciences, 122(6), e2413808122.

Fan, Z., Thouzeau, V., de Dampierre, C., Chevallier, C., & Baumard, N. (2024). Name uniqueness and the rise of individualism in Europe and North America (1500-1900), Current Research in Ecological and Social Psychology

de Dampierre, C., Mogoutov, A., & Baumard, N. (2024). Towards transparency: Exploring LLM training datasets through visual topic modeling and semantic frame. arXiv

Tainturier, B., de Dampierre, C., & Cardon, D. (2023). Mesurer l’empreinte antisémite sur YouTube. Bulletin of Sociological Methodology/Bulletin de Méthodologie Sociologique, 160(1), 71-98.

Dubourg, E., Thouzeau, V., de Dampierre, C., & Baumard, N. (2021). Exploratory preferences explain the cultural success of imaginary worlds in modern societies.

Open-Source Softwares

Bunkatopics: https://charlesdedampierre.github.io/BunkaTopics/

Bunkatech: https://github.com/charlesdedampierre/bunkatech

Funding & Awards

i-PhD Award Winner, Innovation competition, BPI France 2024
PSL Prematuration Program 2024
CNRS – University of Tokyo “Excellence Science” Joint Research Program
CNRS Pre-maturation 2023 for the Bunka Project
AAP Découvrabilité Ministère de la Culture 2023 for the Bunka Project
PRAIRIE Appel SHS 2022 for the Bunka Project

Interventions

Seminar of Economic History, Paris School of Economics, 28th of May, 2025, Speaker
Embed-Days, Ecole Normale Supérieure, 28th of February, 2025, Organiser
DHAI Seminar, Ecole Normale Supérieure, 7 November 2023, Speaker
SODAS Data Discussion, University of Copenhagen17th of December, 2021, Speaker

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