Reproducibility in research – Ensuring the transparency and credibility of your work
- Part 1: Sept 8, 2026 (9:00 to 12:00 )
- Part 2: Sept 9, 2026 (9:00 to 12:00 )
Location: TBD
Sponsored by Alfred P. Sloan Foundation grant to Cornell University (Lars Vilhuber) and by (ADRIAN TO ADD INFO)
- 9:00 Welcome
- 9:05 Walkthrough
- 9:15 Goals
- 9:30 🔒 Hands-on Exercise: A very imperfect example
- 9:45 Discussion of the “Very imperfect example”
- 10:00 Setting yourself up for reproducibility from Day 1
- 10:30 Break
- 10:45 How to correctly document a replication package (and why!)
- 11:15 Reproducibility when some data are confidential
- 11:45 🔒 [Explanation of “homework”] (link to come)
Day 2
- 9:00 Review of “homework”, assignment of reviewers, active review
- 9:30 Discussion of results from review
- 10:00 Advanced reproducibility setup
- 10:45 Break
- 11:00 Demonstration of API and principled retrieval
- 11:45 Wrap up
We want to get to know you a bit better, so we can adapt this and future workshops to your needs. If you haven’t done so already, please do fill out this short survey.
Results
Last updated: 05 June 2026, 13:27
All responses between 01 June 2026 and 09 September 2026.
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- Preserving raw survey data
- Discussions on concerns about ethics in data dissemination (privacy, scraping, copyright, etc.)
- Reproducibility for LLM and AI
Guidance
Some additional guidance can be found on the website of the Social Science Data Editors (URLs subject to change):
Examples of replication packages
With confidential data
- https://doi.org/10.3886/E154241V2 not only code, but faces the problem that IRS data cannot have variables revealed. Their workaround is not the same one as in this tutorial.
- https://doi.org/10.3886/E162581V1
Using containers:
- Kline et al (2024) “A Discrimination Report Card: primary replication package, with container specification, image on Docker Hub, and preserved image on Zenodo.
- Herbert et al (2024) “Reproduce to validate”: primary replication package, container specification and preserved image on Borealis.ca.
Extra info
- This document’s source: https://github.com/larsvilhuber/workshop-uppsala-2026
- Licensed under
