DataFramed

#47 Human-centered Design in Data Science

November 05, 2018 Season 1 Episode 47
DataFramed
#47 Human-centered Design in Data Science
Chapters
DataFramed
#47 Human-centered Design in Data Science
Nov 05, 2018 Season 1 Episode 47
DataCamp
Peter Bull, co-founder of Driven Data, talks about the importance of human-centered design in data science.
Show Notes

Hugo speaks with Peter Bull about the importance of human-centered design in data science. Peter is a data scientist for social good and co-founder of Driven Data, a company that brings cutting-edge practices in data science and crowdsourcing to some of the world's biggest social challenges and the organizations taking them on, including machine learning competitions for social good. They’ll speak about the practice of considering how humans interact with data and data products and how important it is to consider them while designing your data projects. They’ll see how human-centered design provides a robust and reproducible framework for involving the end-user all through the data work, illuminated by examples such as DrivenData’s work in financial services and Mobile Money in Tanzania. Along the way, they’ll discuss the role of empathy in data science, the increasingly important conversation around data ethics and much, much more.

LINKS FROM THE SHOW

FROM THE INTERVIEW

FROM THE SEGMENTS

Probability Distributions and their Stories (with Justin Bois at ~24:00)

Studies in Interpretability (with Peadar Coyle at ~38:10)


Original music and sounds by The Sticks.



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