文章基本信息

标题：Big Data and Bad Data: On the Sensitivity of Security Policy to Imperfect Information
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作者：Graves, James T. ; Acquisti, Alessandro ; Christin, Nicolas 等
期刊名称：University of Chicago Law Review
印刷版ISSN：0041-9494
出版年度：2016
卷号：83
期号：1
页码：6
出版社：University of Chicago Law School
摘要：In this Essay, we examine some of the factors that make developing a “science of security” a significant research and policy challenge. We focus on how the empirical hurdles of missing data, inaccurate data, and invalid inferences can significantly impact—and sometimes impair—the security decisionmaking processes of individuals, firms, and policymakers. We offer practical examples of the sensitivity of policy modeling to those hurdles and highlight the relevance of these examples in the context of national security.