CrimProf Blog

Editor: Kevin Cole
Univ. of San Diego School of Law

Wednesday, November 7, 2018

Brayne on Law Enforcement Implications of Big Data

Sarah Brayne (University of Texas at Austin) has posted The Criminal Law and Law Enforcement Implications of Big Data (Annual Review of Law and Social Science, Vol. 14, pp. 293-308, 2018) on SSRN. Here is the abstract:
Law enforcement agencies increasingly use big data analytics in their daily operations. This review outlines how police departments leverage big data and new surveillant technologies in patrol and investigations. It distinguishes between directed surveillance—which involves the surveillance of individuals and places under suspicion—and dragnet surveillance—which involves suspicionless, unparticularized data collection. Law enforcement's adoption of big data analytics far outpaces legal responses to the new surveillant landscape. Therefore, this review highlights open legal questions about data collection, suspicion requirements, and police discretion. It concludes by offering suggestions for future directions for researchers and practitioners.

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