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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...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Egile nagusia: Thema Monroe-White
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: International Association for Social Science Information Service and Technology 2022-12-01
Saila:IASSIST Quarterly
Gaiak:
Sarrera elektronikoa:https://iassistquarterly.com/index.php/iassist/article/view/1007
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