EPJ Data Science (Dec 2024)

Computational reproducibility in computational social science

  • David Schoch,
  • Chung-hong Chan,
  • Claudia Wagner,
  • Arnim Bleier

DOI
https://doi.org/10.1140/epjds/s13688-024-00514-w
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 11

Abstract

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Abstract 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.

Keywords