QICSS Summer School on Research Reproducibility
Date:
Workshop at Canadian Economics Association meetings / Quebec inter-University Centre for Social Statistics (QICSS), Montréal, Canada
- For more information, see https://larsvilhuber.github.io/summer-school-qicss-2025/
Abstract
This intensive (1.5 day) training explores the fundamental principles of reproducibility, a pillar of open science that ensures the transparency and credibility of scientific research. You will discover best practices to make your work reproducible, from data management to code documentation, version control and results publication.
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.
Sponsored by QICSS, part of the Canadian Economics Association meetings pre-program. Paid registration required.
Michael Stepner is an assistant professor at the University of Toronto and a Research Principal at Opportunity Insights.