20 ideas to build social capital in the Data Science ecosystem
summary
Twenty concrete moves are listed not platitudes: submit a pull request, volunteer at conferences, start a local Meetup. Specifics include contributing to Yellowbrick and NumFOCUS projects, organizing a PyData chapter, building a four‑hour Qlik data‑literacy course and an 80‑page data‑science playbook. These actions produce measurable outcomes — adjunct teaching gigs, job offers, board nominations — and scale social capital by connecting people to maintainers, committees, and hiring channels rather than promising vague “examples.”
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chapters (18)
- 0:00Introduction
- 3:57Why social capital matters
- 7:37Defining social capital
- 9:04Conferences for connections
- 11:50Volunteering for networking
- 13:15Local meetups and study groups
- 15:43Open source contributions
- 17:50Teaching fundamentals
- 20:01Outreach for local networks
- 21:46Virtual meetups during pandemic
- 23:11Social capital in organizations
- 24:14Submitting talks successfully
- 24:57Data science internships
- 26:01Blog writing and reviewing
- 26:44Mentorship and advice
- 27:47Proactive community growth
- 28:51Leadership in communities
- 30:18Q&A
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