Bilingual, in person training. This intensive course explores the fundamental principles of reproducibility, a pillar of open science that ensures the transparency and credibility of scientific research. You’ll discover best practices for making your work reproducible, from data management and code documentation to version control and dissemination of results.

Prerequisites: Previous knowledge of at least one statistical software package (STATA, R, Python, SPSS or SAS). Participants should bring their laptops with statistical software installed.

Course outline – 2025 version. (An updated course outline will be posted later over the winter)