DataTalks.Club

Data Science for Social Impact - Christine Cepelak

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We talked about:

  • Christine’s Background
  • Private sector vs Public sector
  • Public policy
  • The challenges of being a community organizer
  • How public policy relates to political science
  • Programs that teach data science for public policy
  • Data science for public policy vs regular data science
  • The importance of ethical data science in public policy
  • How data science in social impact project differs from other projects
  • Other resources to learn about data science for public policy
  • Challenges with getting data in data science for public policy
  • The problems with accessing public datasets about recycling
  • Christine’s potential projects after Master’s degree
  • Gender inequality in STEM fields
  • Corporate responsibility and why organizations need social impact data scientists
  • What you need to start making a social impact with data science
  • 80,000 hours
  • Other use cases for public policy data science
  • Coffee, Ethics & AI
  • Finding Christine online


    • Links:

    • Explore some Data Science for Social Good projects: http://www.dssgfellowship.org/projects/
    • Bi-weekly Ethics in AI Coffee Chat: https://www.meetup.com/coffee-ethics-ai/
    • Make a Social Impact with your Job: https://tinyurl.com/80khours
    • Course in Data Ethics: https://ethics.fast.ai/
    • Data Science for Social Good Berlin: https://dssg-berlin.org/
    • CorrelAid: https://correlaid.org/
    • DataKind: https://www.datakind.org/
    • Christine's LinkedIn: https://www.linkedin.com/in/christinecepelak/
    • Christine's Twitter: https://twitter.com/CLcep 


      • MLOps Zoomcamp: https://github.com/DataTalksClub/mlops-zoomcamp

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