https://doi.org/10.1140/epjds/s13688-024-00514-w
Comment
Computational reproducibility in computational social science
Computational Social Science Department, GESIS - Leibniz Institute for the Social Sciences, Unter Sachsenhausen 6-8, 50667, Cologne, NRW, Germany
Received:
4
June
2024
Accepted:
28
November
2024
Published online:
2
December
2024
Open science practices have been widely discussed and have been implemented with varying success in different disciplines. We argue that computational-x disciplines such as computational social science, are also susceptible to the symptoms of the crises, but in terms of reproducibility. We expand the binary definition of reproducibility into a tier system which allows increasing levels of reproducibility based on external verifiability to counteract the practice of open-washing. We provide solutions for barriers in Computational Social Science that hinder researchers from obtaining the highest level of reproducibility, including the use of alternate data sources and considering reproducibility proactively.
Key words: Computational Social Science / Open Science / Reproducibility / Replicability Crisis
© The Author(s) 2024
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