AEA Data Editor

AEA Data Editor

The AEA Data Editor’s mission is to design and oversee the AEA journals’ strategy for archiving and curating research data and promoting reproducible research.

Reproducibility in research – Ensuring the transparency and credibility of your work

Date:

Mode: In-person · Language: EN

Workshop at IFAU, Uppsala University, Uppsala, Sweden

Date/Time

8 September 2026 (9:00 to 12:00) and 9 September 2026 (9:00 to 12:00)

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.