Emancipating data science for Black and Indigenous students via liberatory datasets and curricula
Despite findings highlighting the severe underrepresentation of women and minoritized groups in data science, most scholarly research has focused on new methodologies, tools, and algorithms as opposed to who data scientists are or how they learn their craft. This paper proposes that increased repre...
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
International Association for Social Science Information Service and Technology
2022-12-01
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| Collection: | IASSIST Quarterly |
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| Accès en ligne: | https://iassistquarterly.com/index.php/iassist/article/view/1007 |
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