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

Join DataTalks.Club: https://datatalks.club/slack.html

Our events: https://datatalks.club/events.html