在STEM教育和AI研究中推进LGBTQ+的包容性
Emily Wong1, Ryan J Urbanowicz1, Tiffani J Bright1
1Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Patterns (New York, N.Y.)
|July 15, 2024
概括
这项研究强调了多样性,平等和包容性在科学,技术,工程和数学 (STEM) 教育和人工智能 (AI) 研究中的重要性,特别是对于LGBTQ+个人. 它解决了挑战和资源,以促进酷儿科学家的支持性环境.
科学领域:
- 专注于STEM教育和人工智能 (AI) 研究中的多样性,公平性和包容性 (DEI) 的交集.
- 探讨了与这些领域的LGBTQ+代表性相关的具体挑战和机会.
背景情况:
- 解决STEM和AI领域奇异科学家所面临的代表性不足和独特挑战.
- 强调需要包容性教育资源和支持性的学术环境.
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