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
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description 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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spelling pubmed-92807972022-08-01 Trustworthy Computational Evidence Through Transparency and Reproducibility Comput Sci Eng Special Track: Reproducible Research 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. IEEE 2021-02-26 /pmc/articles/PMC9280797/ /pubmed/35939272 http://dx.doi.org/10.1109/MCSE.2020.3048406 Text en This article is free to access and download, along with rights for full text and data mining, re-use and analysis.
spellingShingle Special Track: Reproducible Research
Trustworthy Computational Evidence Through Transparency and Reproducibility
title Trustworthy Computational Evidence Through Transparency and Reproducibility
title_full Trustworthy Computational Evidence Through Transparency and Reproducibility
title_fullStr Trustworthy Computational Evidence Through Transparency and Reproducibility
title_full_unstemmed Trustworthy Computational Evidence Through Transparency and Reproducibility
title_short Trustworthy Computational Evidence Through Transparency and Reproducibility
title_sort trustworthy computational evidence through transparency and reproducibility
topic Special Track: Reproducible Research
url 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
work_keys_str_mv AT trustworthycomputationalevidencethroughtransparencyandreproducibility

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