Big Data and Bad Data: On the Sensitivity of Security Policy to Imperfect Information
The University of Chicago Law Review, 117--137 (2016)
21 Pages Posted: 6 Jan 2019 Last revised: 14 Jan 2019
Date Written: 2016
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.
Keywords: Big Data, Security Policy, Information Sharing
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