![Keeping Data Science Broad group shot](/sites/default/files/2023-02/Keeping%20Data%20Science%20Broad_0.png)
Description:
The goal of this series is to garner community input into pathways for keeping data science as a discipline broadly inclusive. We seek input from data science programs in any region across the nation, either traditional or alternative, and from a range of institution types including minority-serving institutions, community colleges, liberal arts colleges, tribal colleges, universities, and industry partners. The series consists of webinars, workshops, and programs exploring the future of data science education and workforce at institutions of higher learning that are primarily teaching-focused. Program committee members were chosen to represent a broad spectrum of communities with a diversity of geography (West, Northeast, Midwest, and South), disciplines (CS, Math, Stats, other domains), as well as institution type (MSI’s, CC’s, 4-year colleges, tribal colleges, and universities). The series’ Principal Investigator is Dr. Renata Rawlings-Goss and it was co-sponsored by the National Science Foundation, the South Big Data Hub, and the Georgia Tech Institute for Data Engineering and Science.