Edgar Dubourg
AI Research Fellow (Paris School of AI, PSL)
PhD in Cognitive Science (ENS-PSL)
I study the motivational building blocks of the human mind (e.g., curiosity, fear, love, humor, sociality), combining theories from evolutionary and cognitive science with AI-based methods and large-scale cultural, behavioral, and psychological data. I look at how these motivations explain both why fiction, games, and stories captivate us and, more recently, why some public messages, in health and beyond, motivate people or fail to.
Research
Some people are easily moved to outrage, others to tenderness. Some are pulled toward novelty and curiosity, others toward connection and care. These differences in which motivations grip us most are not random. I study the computational architecture of motivational preferences. In particular, I investigate why these preferences vary across individuals, drawing on personality psychology and behavioral ecology, and how the same high-level motivations can lead to different decisions, building on theories of goal hierarchies.
Not everyone loves the same stories, and these differences are not random. I study how personality and motivation shape preferences for narratives, imaginary worlds, and other cultural products. Using computational methods and large-scale cultural datasets, I trace how individual-level preferences scale up to cultural change across societies and centuries, from ancient myths to modern entertainment.
Curiosity is not a single urge but a family of them, and people differ in how strongly each one pulls at them. I study the psychology of curiosity and openness to experience: what makes some minds reach for novelty, abstraction, and the pleasure of insight, how these dispositions are calibrated by ecological conditions such as safety and resources, and how they shape the cultural tastes and worldviews that follow from them.
Culture can now be measured at a scale that was unthinkable a decade ago. I develop and scrutinize methods that use large language models to annotate massive corpora of text, images, and sound, turning questions once limited by the human eye into tractable empirical problems. I care as much about what these tools make possible as about their limits: when automated annotation can be trusted, and when abundant data quietly turns small errors into false discoveries.
People often know what they should do but don't act on it, a gap that standard public health campaigns fail to close. I apply the same motivational framework to health contexts, developing personalized communication strategies that align messages and treatments with individuals' motivational profiles, with the goal of improving engagement and behavior change.
Findings
A few visual insights from recent papers. Click any figure for the source paper and a short explanation of the data, models, and result.
Publications
Preprints & Submitted
Peer-Reviewed Articles
Commentaries
Book Chapters & Proceedings
Presentations
Talks
Posters
Invited Talks & Seminars
Book
Histoire naturelle de la fiction
Why do humans invest so much emotion in stories that never happened? Drawing on evolutionary psychology and cognitive science, this book traces the deep origins of our fascination for fiction – from One Piece to Game of Thrones – and shows that these mechanisms emerged long before novels or cinema.
Outreach
Science Popularization
Interviews & Radio
Press Coverage
Teaching
- Spring 2026
AI & Cognition
PSL International Bachelor of Sciences in Artificial Intelligence · 30h
- Fall 2025, 2026
Social & Behavioral Sciences
PSL "AI & Society" Graduate Program · 45h · with N. Baumard
- Fall 2022–2027
Psychology of Fiction
PSL CPES "Data Science, Art & Culture" · 30h
- Fall 2024
Methods in Cultural Evolution
Cognitive Science Graduate Program, ENS-PSL · 30h · TA of O. Morin
- 2022
Data Science and Pop Culture
PSL Week · 16h
Guest Lectures
- Oct 2025
Personalization in Health
Course "AI-inspired computational approaches to mental health" · Master in Health Engineering, ESPCI-PSL
- Sep 2025
Fiction, Horror & Fear
Course "Cognitive Science & Art" · Master in Cognitive Sciences, ENS-PSL · With Mathias Clasen
- Jan 2025
Variation in the Preference for Imaginary Worlds
Course "Human Behaviors, Culture and Society" · Master in Cognitive Science, ENS-PSL
- May 2024
The Cultural Evolution of Fiction: Theory and Methods
Course "Cultural Analytics" · University of Trento, Italy
- Sep 2023
Theory and statistics in the study of fiction
Course "Statistiques" · CPES Louis-Le-Grand, PSL
- May 2023
The cultural evolution of imaginary worlds
Course "Cultural Analytics" · University of Trento, Italy
- Apr 2023
Environment, personality, and culture
Course "Integrative Anthropology" · Sustainability Sciences, PSL
- Nov 2022
Preferences for fiction and adaptive plasticity
Course "Adaptive plasticity and social change" · Master in Cognitive Sciences, ENS-PSL
- Nov 2022
From cognitive domains to cultural artefacts
Course "Evolutionary cognitive sciences" · CPES, PSL
- Apr 2022
Fiction interpretation and the relevance framework
Course "Art and Cognitive Science" · CPES, PSL
- Apr 2022
Preference for fictions and adaptive variability
Course "Art and Cognitive Science" · CPES, PSL
- Mar 2022
Preferences for fiction and adaptive plasticity
Course "Adaptive plasticity and social change" · Master in Cognitive Sciences, ENS-PSL
- Mar 2021
An adaptive framework to study human emotions
French Brain Awareness Week · With Lyes Kaci
Student Supervision
T. Alabdeen Ali (2026), N. Noël (2026), M. Mirosavic (2026), P. Maunoir-Guérin (2025–26), E. Bidant (2025), R. Fraynet (2025), N. Ryszfeld (2024), R. Safa (2024), Q. Borredon (2023).
CV
AI Research Fellow
Paris School of AI, PSL · 3-year research fellowship
Postdoctoral Fellow
Institut Curie · Health Psychology & AI · PSL–Google · Sup.: V. Chambon
PhD in Cognitive Science
Institut Jean Nicod, ENS-PSL · Sup.: N. Baumard · Cognition Studentship
Master in Literary Theory & Philosophy
ENS-PSL · Highest honors
BA in Human & Social Sciences
Sciences Po Paris
Fundings
Paris School of AI Fellowship
3-year research fellowship · ~120k €
PSL–Google "AI for Societal Impact"
Post-doctoral grant · 160k € · Sup.: V. Chambon
ANR Collaborative Research
Named collaborator · Measuring Agency in Gamified Interactive Contexts · 340k € · PI: V. Chambon, C. Chevallier
Frontiers in Cognition Studentship
Fully funded 5-year PhD
Reviewing (selection)
Nature, Humanities & Social Sciences Communications, Behavioral & Brain Sciences, Evolutionary Human Sciences, Evolutionary Studies in Imaginary Culture, Review of Philosophy and Psychology, Personality and Individual Differences, Empirical Studies of the Arts, PLOS ONE, American Journal of Psychology, Poetics, Evolutionary Behavioral Sciences.



