Astro2020: Training the Future Generation of Computational Researchers

TL;DR

This paper discusses strategies and policy recommendations to train and retain a diverse new generation of computational researchers in Astronomy and Physics, addressing current disparities in computational knowledge.

Contribution

It proposes specific policies and funding models aimed at increasing diversity and supporting the development of future computational researchers.

Findings

Recommendations for policies and funding to support diversity.

Strategies for training the next generation of computational researchers.

Emphasis on reflecting undergraduate demographics in the field.

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.