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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\u2019 data science team\u2019s 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:\u2022 The importance of the humanities in data science [09:18]\u2022 How data science \u201crearranges\u201d power [17:19]\u2022 An overview of How Data Happened [20:36]\u2022 The controversial nature of Bayes theorem [29:16]\u2022 Why we need to consider data ethics [34:00]\u2022 How biology came to adopt data science into its field [45:44]\u2022 The data science tech stack at the New York Times [49:18]Additional materials: www.superdatascience.com/703