research-article

How Visualization Can Foster Diversity and Inclusion in Next-Generation Science

Author:

Kelly GaitherAuthors Info & Claims

IEEE Computer Graphics and Applications, Volume 37, Issue 5

Pages 106 - 112

https://doi.org/10.1109/MCG.2017.3621230

Published: 01 January 2017 Publication History

Abstract

Visualization researchers, developers, practitioners, and educators routinely work across traditional discipline boundaries, oftentimes in teams of people that come from a diverse blend of backgrounds, using visualizations as a common language for collaboration. There is a looming global workforce shortage in the computational science and high-tech space, primarily due to a disconnect between population demographics and the demographics of those educated to fill these jobs. The visualization community is uniquely positioned to bring a fresh approach to making diversity and inclusion fundamental tenets that are necessary rather than desirable.

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Cited By

Sarvghad AFranqui-Nadal RReznik-Zellen RChawla RMahyar N(2023)Scientometric Analysis of Interdisciplinary Collaboration and Gender Trends in 30 Years of IEEE VIS PublicationsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2022.315823629:7(3340-3353)Online publication date: 1-Jul-2023
https://dl.acm.org/doi/10.1109/TVCG.2022.3158236

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How Visualization Can Foster Diversity and Inclusion in Next-Generation Science

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cover image IEEE Computer Graphics and Applications

IEEE Computer Graphics and Applications Volume 37, Issue 5

2017

110 pages

ISSN:0272-1716

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IEEE Computer Society Press

Washington, DC, United States

Publication History

Published: 01 January 2017

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Cited By

Sarvghad AFranqui-Nadal RReznik-Zellen RChawla RMahyar N(2023)Scientometric Analysis of Interdisciplinary Collaboration and Gender Trends in 30 Years of IEEE VIS PublicationsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2022.315823629:7(3340-3353)Online publication date: 1-Jul-2023
https://dl.acm.org/doi/10.1109/TVCG.2022.3158236

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