Sociologist at CREST address questions of scientific and public relevance, guided by sociological theory, using empirical data and quantitative / computational 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, sensor, or text data.
Our current work addresses questions in the areas of social mobility and social inequality, demography, urban sociology consumption and spending, lifestyles and cultural practices, environmental attitudes and actions, social networks, economic sociology, work and labor, migration and immigration, health and well-being, and politics.
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. We regularly host events, including international summer schools and conferences. See css.cnrs.fr for more information.
Our monthly research seminar brings together French and international scholars. The agenda can be found online, on the CREST website.
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 and computational 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 Paris curriculum and the Master program in Quantitative Sociology and Demography, and in the newly opened Master’s program in Computational Social Sciences. In addition, we host an annual Summer School in computational social science.
Every year in the Spring, we recruit students to our PhD program in sociology, with a 3-year contract. We invite potential students to contact faculty members, who would be interested in supervising them, to inquire about the program (do so early).
