# 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.

## Key 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.

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Source: https://tomesphere.com/paper/1907.04460