This summer school offers an interdisciplinary training program combining methodological courses and thematic courses at the intersection of economics and data science. It is intended for Master’s students, PhD candidates, early-career researchers, research professionals, and anyone wishing to deepen their methodological skills on current and cross-cutting topics.

Courses will be held on the Pessac campus (University of Bordeaux) and will be delivered in French or English depending on the instructors.

The 2025 program includes the following modules:

• Household Economics and Law: an original approach to analyze economic relationships within households and their social and legal implications.
• Pollution and Health: understanding the health and economic impacts of air pollution, with a focus on social inequalities.
• Sustainable Finance: introduction to core concepts, quantitative models, and digital tools (R and AI) to assess ESG performance and climate-related financial risks.
• Defence Economics: Introduction to defense economics: presentation of the main themes, analytical tools, state of the research field, recent developments and publication opportunities.
• Natural Language Processing (NLP): an introduction to text data analysis with Python, vectorization techniques, and the use of large language models.
• Mendelian Randomization: understanding the principles and applications of this method for causal inference in genetic epidemiology.
• Maximum entropy modeling of species geographic distributions: use of GIS tools to manage environmental data, map pollution, biodiversity, and urban development.
• Mapping for Research: a practical introduction to QGIS applied to economic and social sciences, with hands-on creation of thematic maps.