哈佛：WHY DATA SCIENCE MUST INHERENTLY BE INTERDISCIPLINARY

 

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: 

 https://twitter.com/TheHDSR

 https://hdsr.mitpress.mit.edu