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Advancing LGBTQ+ inclusion in STEM education and AI research.
Wong, Emily; Urbanowicz, Ryan J; Bright, Tiffani J; Tatonetti, Nicholas P; Hsiao, Yi-Wen; Huang, Xiuzhen; Moore, Jason H; Peng, Pei-Chen.
Afiliação
  • Wong E; Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
  • Urbanowicz RJ; Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
  • Bright TJ; Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
  • Tatonetti NP; Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
  • Hsiao YW; Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
  • Huang X; Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
  • Moore JH; Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
  • Peng PC; Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Patterns (N Y) ; 5(6): 101010, 2024 Jun 14.
Article em En | MEDLINE | ID: mdl-39005486
ABSTRACT
The authors emphasize diversity, equity, and inclusion in STEM education and artificial intelligence (AI) research, focusing on LGBTQ+ representation. They discuss the challenges faced by queer scientists, educational resources, the implementation of National AI Campus, and the notion of intersectionality. The authors hope to ensure supportive and respectful engagement across all communities.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article