Let's Make Gender Diversity in Data Science a Priority Right from the Start

Francine D Berman and Philip E Bourne

PLOS Biology, 2015, vol. 13, issue 7, 1-5

Abstract: The emergent field of data science is a critical driver for innovation in all sectors, a focus of tremendous workforce development, and an area of increasing importance within science, technology, engineering, and math (STEM). In all of its aspects, data science has the potential to narrow the gender gap and set a new bar for inclusion. To evolve data science in a way that promotes gender diversity, we must address two challenges: (1) how to increase the number of women acquiring skills and working in data science and (2) how to evolve organizations and professional cultures to better retain and advance women in data science. Everyone can contribute.Data science is accelerating innovation, and the best and the brightest from both genders are needed to achieve its potential. This Perspective discusses what you can do to advance the field.

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pbio00:1002206

DOI: 10.1371/journal.pbio.1002206

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