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.
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | , |
| Format: | article |
| Published: |
2021
|
| Online Access: | http://hdl.handle.net/11073/23904 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1864513443722166272 |
|---|---|
| author | Abuwatfa, Waad Hussein |
| author2 | Zamel, Nada Al-Othman, Amani |
| author2_role | author author |
| author_facet | Abuwatfa, Waad Hussein Zamel, Nada Al-Othman, Amani |
| author_role | author |
| dc.creator.none.fl_str_mv | Abuwatfa, Waad Hussein Zamel, Nada Al-Othman, Amani |
| dc.date.none.fl_str_mv | 2021 2022-06-06T09:20:56Z 2022-06-06T09:20:56Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | Abuwatfa,W.; Zamel, N.; Al-Othman, A. Lessons learned from the underrepresentation of women in STEM: AI-enabled solutions and more. Energy and AI 2021, 5, 100086. https://doi.org/10.1016/j.egyai.2021.100086. 2666-5468 http://hdl.handle.net/11073/23904 10.1016/j.egyai.2021.100086 |
| dc.language.none.fl_str_mv | en_US |
| dc.publisher.none.fl_str_mv | Elsevier |
| dc.relation.none.fl_str_mv | https://doi.org/10.1016/j.egyai.2021.100086 |
| dc.title.none.fl_str_mv | Lessons learned from the underrepresentation of women in STEM: AI-enabled solutions and more |
| dc.type.none.fl_str_mv | Peer-Reviewed Published version info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
| description | 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. |
| format | article |
| id | aus_609aea7758286e356f51094e52b76cf3 |
| identifier_str_mv | Abuwatfa,W.; Zamel, N.; Al-Othman, A. Lessons learned from the underrepresentation of women in STEM: AI-enabled solutions and more. Energy and AI 2021, 5, 100086. https://doi.org/10.1016/j.egyai.2021.100086. 2666-5468 10.1016/j.egyai.2021.100086 |
| language_invalid_str_mv | en_US |
| network_acronym_str | aus |
| network_name_str | aus |
| oai_identifier_str | oai:repository.aus.edu:11073/23904 |
| publishDate | 2021 |
| publisher.none.fl_str_mv | Elsevier |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Lessons learned from the underrepresentation of women in STEM: AI-enabled solutions and moreAbuwatfa, Waad HusseinZamel, NadaAl-Othman, AmaniThe 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.Elsevier2022-06-06T09:20:56Z2022-06-06T09:20:56Z2021Peer-ReviewedPublished versioninfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfAbuwatfa,W.; Zamel, N.; Al-Othman, A. Lessons learned from the underrepresentation of women in STEM: AI-enabled solutions and more. Energy and AI 2021, 5, 100086. https://doi.org/10.1016/j.egyai.2021.100086.2666-5468http://hdl.handle.net/11073/2390410.1016/j.egyai.2021.100086en_UShttps://doi.org/10.1016/j.egyai.2021.100086oai:repository.aus.edu:11073/239042024-08-22T12:05:59Z |
| spellingShingle | Lessons learned from the underrepresentation of women in STEM: AI-enabled solutions and more Abuwatfa, Waad Hussein |
| status_str | publishedVersion |
| title | Lessons learned from the underrepresentation of women in STEM: AI-enabled solutions and more |
| title_full | Lessons learned from the underrepresentation of women in STEM: AI-enabled solutions and more |
| title_fullStr | Lessons learned from the underrepresentation of women in STEM: AI-enabled solutions and more |
| title_full_unstemmed | Lessons learned from the underrepresentation of women in STEM: AI-enabled solutions and more |
| title_short | Lessons learned from the underrepresentation of women in STEM: AI-enabled solutions and more |
| title_sort | Lessons learned from the underrepresentation of women in STEM: AI-enabled solutions and more |
| url | http://hdl.handle.net/11073/23904 |