Bibtex export

 

@article{ Schoch2024,
 title = {Computational reproducibility in computational social science},
 author = {Schoch, David and Chan, Chung-hong and Wagner, Claudia and Bleier, Arnim},
 journal = {EPJ Data Science},
 volume = {13},
 year = {2024},
 issn = {2193-1127},
 doi = {https://doi.org/10.1140/epjds/s13688-024-00514-w},
 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.},
}