Reproducibility Curriculum
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About
Sample syllabi
Predoc sequence
Home
Follow along
Sessions
Introductions and motivation
Useful tools: Why you should learn (and love) the command line
Day 1 reproducibility
Day N-1 reproducibility
Working with confidential data, when to share data and when no to
Documenting it all with a README
How to run code reproducibly
API and AI
The data lifecycle: preserving raw data
Writing articles that combine text and code
High-performance computing and why you should care about it
Reproducibility, transparency, and data ethics: How and when to share data, and when not to
Extras
Writing a referee report
Writing a grant proposal
Guide for good presentations
Hands-on: A very imperfect example
Sample syllabi
Econ 7850 Cornell
Predoc sequence
A Two-Day Reproducibility Curriculum
Acknowledgements
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econ7850
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qicss2025
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Sample syllabi
Predoc sequence
CIDER Predoc Sequence
TBD
Authors
Lars Vilhuber
Laurel Krovetz
Published
August 12, 2025
Introductions and motivation
Lars Vilhuber
Date
2025-08-25
Useful tools: Why you should learn (and love) the command line
Lars Vilhuber
Date
2025-08-26
Day 1 reproducibility
Lars Vilhuber
Date
2025-08-26
Writing articles that combine text and code
Lars Vilhuber
Date
2025-09-08
High-performance computing and why you should care about it
Lars Vilhuber
Date
2025-09-08
Working with confidential data, when to share data and when no to
Lars Vilhuber
Date
2025-09-09
The data lifecycle: preserving raw data
Lars Vilhuber
Date
2025-09-09
Reproducibility, transparency, and data ethics: How and when to share data, and when not to
Lars Vilhuber
Date
2025-09-09
API and AI
Lars Vilhuber
Date
2025-10-20
How to run code reproducibly
Lars Vilhuber
Date
2025-10-27
Day N-1 reproducibility
Lars Vilhuber
Date
2025-10-28
Documenting it all with a README
Lars Vilhuber
Date
2025-11-11
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