CEA Summer School on Research Reproducibility
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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 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.
OBJECTIVES
- Master the challenges and principles of research reproducibility
- Acquire technical skills to create reproducible projects
- Learn to effectively document your analyses and code
- Develop concrete strategies for data management and sharing
WHO SHOULD ATTEND
This training is intended for researchers of all levels (graduate students, faculty, research staff) with experience in empirical data analysis. Knowledge of at least one statistical software package (Stata, R, Python, MATLAB) is required. Participants must bring their own laptop with their preferred statistical software.
TRAVEL GRANTS FOR STUDENTS
Non-local students who would like to apply for a limited number of $500 travel grants should apply separately (Link Forthcoming). Applications must be received by April 30. If over-subscribed, grants will be allocated via random draw. Recipients will be notified by May 15, 2026. Grants will be paid out after attendance at the workshop, upon presentation of receipts for travel expenses in the recipients name.
SPONSORS
Marie Connolly is Data Editor for the Canadian Journal of Economics. The workshop is sponsored by the CIQSS and the Groupe de recherche sur le capital humain (GRCH) at ESG UQAM.