Sociologists at CREST address classical and contemporary questions of scientific and public relevance, guided by sociological theory, using empirical data and quantitative methods. We have strong expertise in statistical methodology and in the analysis of quantitative data. This can include traditional data sources of sociological research such as national and international surveys or administrative register data as well as novel ones, such as massive data and digital traces, text, molecular genetic data.
Our current work addresses questions in the areas of social mobility and social inequality, demography, gender and the family, consumption and spending, lifestyles and cultural practices, environmental attitudes and actions, social networks, economic sociology, migration and immigration, health and wellbeing, social science genomics, and political practices.
The group is also active in the field of computational social sciences, an area that uses computers and digital data to further social scientific research. See for instance css.cnrs.fr, featuring a full-fledged course in French on data collection in the digital era, with lectures, labs, scripts and exercises. In June 2023, our team will host a Summer institute in computational social sciences (SICSS). Check out the schedule and apply here.
Our monthly research seminar brings together French and international scholars.
We welcome visiting scholars in our group. Feel free to contact us if you are interested in coming to Paris and spending time in our group.
Training future quantitative sociologists is at the heart of our mission. We have a dynamic group of doctoral students who actively participate in the daily life and research activities of our team. We teach courses in the ENSAE curriculum and the Master program in Quantitative Sociology and Demography. In addition, we host an annual summer school in computational social science.
We are currently inviting students interested in pursuing a PhD in sociology at CREST to contact us. For more information: link.
