Usable and reproducible genAI workflow archiving for open science
Abstract
GenAI is rapidly integrated in scientific workflows, yet still scarcely and unevenly documented or archived. This lack of openness makes it hard to inspect genAI workflows during peer review, reproduce them, or build on the workflows of others.
Building on current initiatives to develop genAI reporting standards [, , , , ], this project will develop and validate good practices and tools for archiving genAI workflows in a usable and reproducible fashion, similar to reproducible manuscripts []. This is ideal for candidates with a background and interest in software engineering and open research.
You will join the , supervised by Prof Sam Cooper with support by Prof and Dr , allowing you to test solutins across materials and social science. We are exploring a formal collaboration with our partner, the , to share our results with research organisations across the world.
How to Apply
Please contact Professor Sam Cooper if you are interested in applying for this project.
For more information on submitting a PhD application, please consult our application pages here. When you submit your application, please cite this project title in the 'how you are planning to fund your PhD' section.
The deadline for submitting your application is 11 January 2027.