Integrating Data Science for Social Justice: A Tutorial on Developing Non-Traditional Pathways for Non-CS Majors
In response to the growing need for socially responsible computer scientists and data scientists, our team is developing a comprehensive data science certificate program specifically tailored for non-computing majors, with a focus on data science for social justice. This program aims to broaden participation in data science and create non-traditional pathways for diverse student populations. Each course in the program is designed to be accessible to non-computing majors, equipping them with the skills to analyze and address social justice issues through data science. Process Oriented Guided Inquiry Learning (POGIL) is employed as an instructional strategy promoting active learning, and real datasets related to social justice are utilized for hands-on activities and assignments, enhancing practical learning experiences. The courses are taught in a synchronous hybrid format, across multiple universities, accommodating both live online and in-person students.
Authors
- Sambit Bhattacharya (ORCID: https://orcid.org/0000-0001-6407-0217)
- Debzani Deb (ORCID: https://orcid.org/0000-0002-3430-1130)
- RN Uma (ORCID: https://orcid.org/0000-0002-0871-533X)
Institutions
- North Carolina Central University (US)
- Fayetteville State University (US)
- Winston-Salem State University (US)
Publication Details
- Published
- 2025-02-18
- DOI
- https://doi.org/10.1145/3641555.3704754
- Primary Topic
- Public Health Policies and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00