Human-centered Design in Data Science (with Peter Bull)
Peter Bull, a data scientist for social good and co-founder of Driven Data, talks about the importance of human-centered design in data science.
About Peter Bull
Peter is a co-founder at DrivenData, whose mission is to bring the power of data science to the social sector. DrivenData builds software that uses data and artificial intelligence for non-profits, NGOs, and governments. DrivenData also engages a global community of data scientists is online competitions that leverage data for the greater good. Recently Peter has worked on projects in lung cancer prediction, anti-human-trafficking, crop yield modeling, and digital financial services for rural populations. He also maintains the Cookiecutter Data Science and Deon open source projects. Peter earned his master's in Computational Science and Engineering from Harvard. Previously he worked as a software engineer at Microsoft and earned a BA in philosophy from Yale University.
Links from the show
FROM THE INTERVIEW
- Peter on Twitter
- DrivenData
- Deon (Ethics Checklist)
- Cookiecutter Data Science
- If you liked this interview, you might be interested in working with DrivenData! Currently, the team is looking for a software engineer who loves the idea of building Python applications for social impact. Apply Here!
FROM THE SEGMENTS
Probability Distributions and their Stories (with Justin Bois at ~24:00)
Studies in Interpretability (with Peadar Coyle at ~38:10)
- Interpretable ML Symposium
- How will the GDPR impact machine learning? (By Andrew Burt)
- How to use Bayesian Stats in your daily job (Gates, Perry, Zorn (2002))
- Fairness in Machine Learning (By Moritz Hardt)
- Probabilistic Programming Primer: Level up your Data Science skills with PP and Peadar Coyle
Original music and sounds by The Sticks.
