Data Science for Social Good: Making Impact in Resource-Constrained Environments
summary
Correlate runs 3–6 month volunteer projects (4–6 people) that use only open source tooling to deliver concrete results: a GIS visualization that changed policy and triggered a tree‑planting program in Kosovo; an automated data pipeline using a change‑detection open source tool that saves Banktrack weeks of manual work and returns code upstream; and an automated matching pipeline with BigQuery and GitHub Actions that scales matching for ~50,000 volunteers. Network size and outputs: ~300 NL volunteers, ~2,500 worldwide, 13 projects to date.
AI-written summary · about
chapters (14)
- 0:00Data for Social Good intro
- 2:27Data skills for social impact
- 3:11Nonprofits' global challenges
- 6:22Ocean Cleanup data fight
- 8:47Barriers in small nonprofits
- 10:34Volunteers and nonprofits connect
- 13:26Correlate volunteer projects
- 16:18Illegal deforestation Kosovo case
- 18:06Policy tracking BankTrack case
- 19:30Scientists to refugee aid case
- 22:00Skills beyond coding
- 24:08Storytelling in social good
- 25:11Volunteers' time for impact
- 26:15How to contribute
related talks
26mOpen Source and the Volunteer Workforce
21mSupporting Social Good Through Community-Based Data Science Education
35mDesigning for Impact in Civic Data Science
47mKeynote: Using Data Science for Social Good: Examples, Opportunities, and Challenges
46mData Discussion - AI for Good
34mKeynote: Building a Data Driven Dialogue From Filling Potholes to Disrupting the Cycle
01h 00mEngineering a Sustainable World
22mKeynote: Open Data @ Facebook