Summer School on Research Reproducibility

Summer School in Research Reproducibility: Ensuring the Transparency and Credibility of Your Work (see PDF here.)

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.

More information can be found here: https://www.economics.ca/resources/Documents/pdf/CEA-2026/summer-school-2026-blurb.pdf