703: How Data Happened: A History, with Columbia Prof. Chris Wiggins

<p>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.<br/><br/>This episode is brought to you by the <a href='https://pod.link/1608453414'>AWS Insiders Podcast</a> and by <a href='https://modelbit.com/'>Modelbit</a>, for deploying models in seconds. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href='https://jonkrohn.com/podcast'>JonKrohn.com/podcast</a> for sponsorship information.<br/><br/>In this episode you will learn:<br/>• The importance of the humanities in data science [09:18]<br/>• How data science “rearranges” power [17:19]<br/>• An overview of How Data Happened [20:36]<br/>• The controversial nature of Bayes theorem [29:16]<br/>• Why we need to consider data ethics [34:00]<br/>• How biology came to adopt data science into its field [45:44]<br/>• The data science tech stack at the New York Times [49:18]<br/><br/>Additional materials: <a href='https://www.superdatascience.com/703'>www.superdatascience.com/703</a></p>