About
Martin Aranguren is a CNRS Junior Professor affiliated with the Centre for Research on Social Inequalities (CRIS) at Sciences Po. His research bridges micro-level social interactions and macro-level social inequalities, employing diverse methodologies including field experiments, interviews, and statistical analysis. He holds a PhD from École des Hautes Études en Sciences Sociales and earned his HDR in 2024, qualifying him to supervise doctoral research.
His research interests include:
- Social Interaction
- Nonverbal Communication
- Emotions
- Discrimination (racial, religious, ethnic)
- Health Disparities and Mental Health Inequalities
- Field Experiments and Behavioral Measurement
- Bayesian Statistics
His recent publications reveal a strong focus on discrimination in urban public spaces, particularly examining how race, religion (e.g., Islamic headscarves), and health behaviors (e.g., mask-wearing) influence everyday interactions. His work often uses field experiments in cities like Paris, Brussels, and Vienna to measure subtle forms of bias. A recurring theme is risk compensation during the pandemic, where adopting one safety measure (e.g., masks) leads to reduced adherence to others (e.g., distancing), with significant gender differences observed.
His scientific contributions include leading major research projects such as:
- MIDI (2018–2021): Studied misrecognitive discrimination using field experiments.
- GERICO (2021–2022): Funded by ANR, investigated risk compensation during Covid-19.
He also contributes to academic discourse through editorial roles and peer reviewing. He serves on the editorial board of Appartenances & Altérités and has reviewed for journals including Annals of Behavioral Medicine, Ethnic and Racial Studies, and PLoS ONE. He teaches quantitative methods, including Research Design and Regression Analysis, in the Sociology Master’s program at Sciences Po. His methodological rigor and interdisciplinary approach position him as a leading figure in contemporary sociological research on inequality.
Research fields
