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

页码：2634 / 2638

页数：5

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