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Broadening Access to Data Science Education in High School and Higher Education through Open Source Tools, Infrastructure, and Training

por Teon L. Brooks y Steven Azeka

Publicada: 16 de octubre de 2025
Servidor: Zenodo
DOI: 10.5281/zenodo.17369780

Equitable data science education requires a multifaceted approach, involving high school and higher education, community involvement, and accessible tools. A renewed investment in public digital infrastructure is needed to support these efforts. Nonprofits play a crucial role in supporting these efforts, and increased representation in leadership can enhance their impact. By addressing these disparities, we can ensure a more inclusive future in data science.

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