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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| 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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