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
