With a greater impact into more aspects of our lives, data science is no longer exclusively a topic for scientists or engineers. Xiao-Li Meng, Professor of Statistics, and the Founding Editor-in-Chief of Harvard Data Science Review discusses the importance of a broader vision around our overall relationship with data and "data science". He explains why philosophers and others should be an integral part of our discussions, especially given some of the serious ethical and social challenges we face as a result of data automation.
1. 源于：
https://www.harvardae.org/podcasts/2020/10/28/why-data-science-must-inherently-be-interdisciplinary
https://www.harvardae.org/podcasts
2. Harvard Data Science Review:
选择“Disable on www.wenxuecity.com”
选择“don't run on pages on this domain”
