Future-Proof Your Research: Designing for Replicability and Reproducibility

Student: Isabel Brunkan (Minerva Schools at Keck Graduate Institute)
Supervisor: Kate Keahey (University of Chicago, Argonne National Laboratory)

Abstract: Computer Science is Agile. Iteration after iteration, moving quickly to solve new problems, uncover new questions, find the next big thing. Hardware, software, libraries, datasets, experiments - technology becomes outdated almost as soon as it’s released. So why save code? Why share code? For replication, to verify results. For education, to train the next generation. For variation, to discover new insights. We seek to understand how to package experiments to encourage experiment exploration and longevity by replicating an AlexNet reproduction.

ACM-SRC Semi-Finalist: no

Poster: PDF
Poster Summary: PDF


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