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Trustworthy Computational Evidence Through Transparency and Reproducibility.

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This summary is machine-generated.

High-performance computing applications, like climate modeling and COVID-19 research, are crucial for society. Ensuring these computational models are trustworthy is essential for addressing significant global challenges.

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Area of Science:

  • Computational science
  • High-consequence applications

Background:

  • High-performance computing (HPC) is vital for societal challenges.
  • Examples include global climate modeling and COVID-19 research.
  • The 2020 pandemic highlighted the need for computational science in urgent societal issues.

Purpose of the Study:

  • To underscore the importance of trustworthy computational models.
  • To emphasize the role of HPC in addressing critical societal concerns.

Main Methods:

  • N/A - Abstract does not detail specific methods.

Main Results:

  • N/A - Abstract does not detail specific results.

Conclusions:

  • Applications of high consequence necessitate reliable computational models.
  • Trustworthy models are critical for scientific endeavors impacting society.