#DataHistory #DataEthics #ChrisWiggins Statistics history, interdisciplinarity, and data and society. Chris Wiggins talks with @JonKrohnLearns 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 (https://pod.link/1608453414) and by Modelbit (https://modelbit.com), for deploying models in seconds. Interested in sponsoring a SuperDataScience Podcast episode? Visit https://jonkrohn.com/podcast for sponsorship information. In this episode you will learn: • [00:00:00] Introduction • [00:07:43] The importance of the humanities in data science • [00:15:44] How data science “rearranges” power • [00:19:00] An overview of How Data Happened • [00:27:40] The controversial nature of Bayes theorem • [00:32:20] Why we need to consider data ethics • [00:44:08] How biology came to adopt data science into its field • [00:47:42] The data science tech stack at the New York Times Additional materials: https://www.superdatascience.com/703