Trustworthy Computational Evidence Through Transparency and Reproducibility

Many high-performance computing applications are of high consequence to society. Global climate modeling is a historic example of this. In 2020, the societal issue of greatest concern, the still-raging COVID-19 pandemic, saw a legion of computational scientists turning their endeavors to new researc...

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Detalles Bibliográficos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IEEE 2021
Materias:
Special Track: Reproducible Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9280797/
https://www.ncbi.nlm.nih.gov/pubmed/35939272
http://dx.doi.org/10.1109/MCSE.2020.3048406
Descripción
Sumario:Many high-performance computing applications are of high consequence to society. Global climate modeling is a historic example of this. In 2020, the societal issue of greatest concern, the still-raging COVID-19 pandemic, saw a legion of computational scientists turning their endeavors to new research projects in this direction. Applications of such high consequence highlight the need for building trustworthy computational models.

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