Statistics history, interdisciplinarity, and data and society. Chris Wiggins talks with Jon Krohn about the power dynamics of data, the transformation of the field of biology through data-driven approaches to genetic sequencing, and the New York Times’ data science team’s cutting-edge approach to accommodating its tech stack.This episode is brought to you by the AWS Insiders Podcast and by Modelbit, for deploying models in seconds. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• The importance of the humanities in data science [09:18]• How data science “rearranges” power [17:19]• An overview of How Data Happened [20:36]• The controversial nature of Bayes theorem [29:16]• Why we need to consider data ethics [34:00]• How biology came to adopt data science into its field [45:44]• The data science tech stack at the New York Times [49:18]Additional materials: www.superdatascience.com/703

Ask this episode

“What did the council decide on item 42?” — answered with the speaker and the moment.

Transcript

Related