Broadening Access to Data Science Education in High School and Higher Education through Open Source Tools, Infrastructure, and Training
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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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Brooks_and_Azeka_2025_Broadening_Access_to_Data_Science_Education_in_High_School_and_Higher_Education.pdf
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