Related Experiment Videos
Insights from the SwissRN Computational Reproducibility Hackathon 2025
Tom Willems1,2, Tobias Kühlwein3, Matthias Voigt4
1Department of Psychology, University of Zurich, Zurich, 8050, Switzerland.
Abstract:
Computational reproducibility hackathons provide a hands-on opportunity for identifying barriers to reproducible research. The Swiss Reproducibility Network (SwissRN) hosted a Computational Reproducibility Hackathon at UniDistance Suisse in Brig, Switzerland, with participants from diverse scientific disciplines. 19 participants attempted to reproduce five published computational analyses, achieving at least partial success in four cases. Documentation quality, software environments, and data accessibility emerged as the most critical factors for successful reproduction. These findings inform ongoing efforts to develop practical best-practice guidance and training initiatives to improve computational reproducibility across disciplines.
Related Concept Videos
Improving Translational Accuracy
Improving Translational Accuracy