The goal of the “Keeping Data Science Broad” series of webinars and workshops was to garner community input into pathways for keeping data science education broadly inclusive across sectors, institutions, and populations. Input was collected from data science programs across the nation, either traditional or alternative, and from a range of institution types including community colleges, minority-led and minority-serving institutions, liberal arts colleges, tribal colleges, universities, and industry partners. The series consisted of two webinars (August 2017 and September 2017) leading up to a workshop (November 2017) exploring the future of data science education and workforce at institutions of higher learning that are primarily teaching-focused. A third follow-up webinar was held after the workshop (January 2018) to report on outcomes and next steps. Program committee members were chosen to represent a broad spectrum of communities with a diversity of geography (West, Northeast, Midwest, and South), discipline (Computer Science, Math, Statistics, and Domains), as well as institution type (Historically Black Colleges and Universities (HBCU’s), Hispanic-Serving Institutions (HSI’s), other Minority-Serving Institutions (MSI's), Community College's (CC’s), 4-year colleges, Tribal Colleges, R1 Universities, Government and Industry Partners).
Rawlings-Goss, Renata; (Boots) Cassel, Lillian; Cragin, Melissa; Cramer, Catherine; Dingle, Angela; Friday-Stroud, Shawnta; Herron, Al; Horton, Nicholas; Inniss, Tasha R.; Jordan, Kari; Ordóñez, Patti; Rudis, Mary; Rwebangira, Robert; Schmitt, Karl; Smith, Dale; and Stephens, Sonya, "Keeping Data Science Broad: Negotiating the Digital and Data Divide Among Higher Education Institutions" (2018). Mathematics and Statistics Faculty Publications. 64.