Astro2020: Training the Future Generation of Computational Researchers

Gurtina Besla; Daniela Huppenkothen; Nicole Lloyd-Ronning; Evan Schneider; Peter Behroozi; Blakesley Burkhart; C. K. Chan; Seth A. Jacobson; Sarah Morrison; Hai Ah Nam; Smadar Naoz; Annika Peter; Enrico Ramirez-Ruiz

arXiv · 1907.04460

Astro2020: Training the Future Generation of Computational Researchers

Gurtina Besla·Daniela Huppenkothen·Nicole Lloyd-Ronning·Evan Schneider·Peter Behroozi·Blakesley Burkhart·C. K. Chan·Seth A. Jacobson·Sarah Morrison·Hai Ah Nam·Smadar Naoz·Annika Peter·Enrico Ramirez-Ruiz

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Abstract

The current disparity in computational knowledge is a critical hindrance to the diversity and success of the field. Recommendations are outlined for policies and funding models to enable the growth and retention of a new generation of computational researchers that reflect the demographics of the undergraduate population in Astronomy and Physics.

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Gurtina Besla, Daniela Huppenkothen, Nicole Lloyd-Ronning, Evan Schneider, Peter Behroozi, Blakesley Burkhart, C. K. Chan, Seth A. Jacobson, Sarah Morrison, Hai Ah Nam, Smadar Naoz, Annika Peter, Enrico Ramirez-Ruiz. 2019-07-09. Astro2020: Training the Future Generation of Computational Researchers. https://arxiv.org/abs/1907.04460

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