ASTR2020: Training the future generation of computational researchers

Gurtina Besla, D. Huppenkothen, N. Lloyd-Ronning, E. Schneider, P. Behroozi, B. Burkhart, C. K. Chan, S. A. Jacobson, S. Morrison, H. Nam, S. Naoz, A. Peter, E. Ramirez-Ruiz

Research output: Contribution to journalArticlepeer-review

Abstract

Motivation: The current disparity in computational knowledge and access across the nation is a critical hindrance to the diversity and therefore the success of the fields of Astronomy and Physics. Thus, training the next generation of computational researchers is crucial. Preparing all students for careers in Astronomy, Physics, and industry will require universal computational and data science literacy, innovative education models, and equitable access to high performance computing (HPC) as well as elastic, specialized and other emerging computing facilities. The following recommendations are critical to the growth and retention of a new generation of computational researchers that reflect the demographics of the undergraduate population in Astronomy and Physics.

Original languageEnglish (US)
JournalUnknown Journal
StatePublished - Jul 9 2019

ASJC Scopus subject areas

  • General

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