Supporting Social Good Through Community-Based Data Science Education
summary
A Johns Hopkins course runs as a 16-week, two-year experiment pairing three to four students with a single community-based organization to teach data ethics, sustainable design, and practical analysis. Projects produce concrete artifacts like a testimonial database built by screenshot text extraction and sentiment analysis, lightweight Shiny dashboards, and templates the organizations adopt. The model requires one instructor per team, SOURCE community-engagement training, close vetting of student skills, and a focus on minimal viable products and sustainability.
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chapters (7)
- 0:00Community data science education
- 3:19Baltimore Community Data Science Course
- 7:58Course structure and partnerships
- 10:01Five lessons from program
- 14:36Requirements for collaboration
- 16:04Call to action for data science
- 17:19Q&A
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