Publication date: Feb 12, 2025
Data science refers to the connections among different disciplines, including physics, statistics, engineering, mathematics, and the social sciences. Data science can significantly affect how social work students collect and use data. Data science tools and methodology can provide effective strategies for social work students to explore, analyze, visualize, and understand social problems. This article aims to present the findings of the Social Work Data Corps (SWDC) project. The SWDC project was implemented in the summer of 2022 to introduce social work students to data science. The SWDC project mentored Bachelor of Social Work (BSW) and Master of Social Work (MSW) data science scholars who explored health disparities of marginalized communities in the United States using secondary data. The data science scholars addressed a wide range of issues, including cancer, pregnancy, Covid-19, trauma, veterans’ issues, autism, reproductive care, and the impact of the opioid crisis on Native Americans in their research projects.
| Concepts | Keywords |
|---|---|
| Americans | Data science |
| Cancer | data science skills |
| Mathematics | health disparities |
| Mentored | social work |
| Summer | social work curriculum |
Semantics
| Type | Source | Name |
|---|---|---|
| disease | MESH | social problems |
| disease | MESH | health disparities |
| disease | MESH | cancer |
| disease | MESH | Covid-19 |
| disease | MESH | autism |