Lessons learned from the underrepresentation of women in STEM: AI-enabled solutions and more

The absence of women in STEM and energy sectors is driven by discrimination and socio-cultural factors. A greater number of women “leak out” from Energy and STEM fields than men. AI-enabled solutions offer analysis tools to measure and evaluate diversity and inclusion.

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Bibliographic Details
Main Author: Abuwatfa, Waad Hussein (author)
Other Authors: Zamel, Nada (author), Al-Othman, Amani (author)
Format: article
Published: 2021
Online Access:http://hdl.handle.net/11073/23904
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