Teaching
In the course of teaching quantitative methods for the social sciences, I have started to compile some course materials here.
Data Analysis
The Data Analysis course is designed for 3rd year undergraduate students in the “Mathematics for social sciences” and in the sociology tracks. It offers an introduction to Geometric Data Analysis: the lecture combines method presentations with real-world social science applications, and the tutorials focus on applying these methods to real datasets using the R software.
You will find some of the guided exercise solutions here.
Textual Analysis
I participated in the Pondicherry Social Science Winter School in November 2023, where I co-hosted the “Computational and Mixed Methods” workshop. During the workshop, I presented Max Reinert’s textual analysis method, which is now available in the “rainette” R package developed by Julien Barnier. This method was applied to data collected from matrimonial advertisements on an Indian website.
You can access the tutorials for the workshop here.
Textual Analysis with Mendak
To introduce text analysis in a “point-and-click” mode, one can use the Mendak application (here, or better, here).
You can access a (brief) tutorial in English here.
Social Sciences Mixed Methods National Research Project
Along with Marine Al Dahdah, Louise Caron, Andrew McDowell, and Priyadarshani Premarathne, I conduct a collaborative, year-long research-cum-teaching program in Sri Lanka in 2025-2026. The program involves 40 students from 10 universities and 10 statisticians from the Department of Census and Statistics. We aim to strengthen mixed-methods research and the project studies project access to health, education, and basic services. The project is financially supported by the French Ministry of Foreign Affairs. As part of this program, I deliver training in Statistics with R.