703: How Data Happened: A History, with Columbia Prof. Chris Wiggins
Update: 2023-08-08
Description
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 (https://pod.link/1608453414) and by Modelbit (https://modelbit.com), 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
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 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
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