Data Science, COVID-19 Pandemic, Privacy and Civil Liberties

被引：0
|
作者：
Thuraisingham, Bhavani [1 ]
机构：
[1] Univ Texas Dallas, Comp Sci Dept, Richardson, TX 75083 USA
来源：
2020 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA) | 2020年
关键词：
Data Science; COVID-19; Privacy; Security; Safety; Civil Liberties;
D O I：
10.1109/BigData50022.2020.9377966
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The world has seen pandemics, terrorism, hurricanes and other natural and man-made disasters. Each time such an event occurs we discuss technologies that can solve the problem and their impact on our privacy and civil liberties. Such discussions occurred after the 9/11 terrorist attacks and is happening now during the COVID-19 pandemic, the worst human crisis we have faced in a century. This paper discusses the applications of data science to detect and possibly prevent such pandemics and its impact on our privacy and civil liberties.
引用
收藏
页码：2634 / 2638
页数：5
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