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Big data

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Big Data Prosecution And Brady, Andrew Ferguson Jan 2020

Big Data Prosecution And Brady, Andrew Ferguson

Articles in Law Reviews & Other Academic Journals

Prosecutors are joining the big data revolution, adopting “intelligence-driven” strategies to target crime patterns. Centralized big data systems now track offenders, places, and groups allowing prosecutors to link crimes by time, place, associations, or other connections. Adding to these types of formalized, structured databases are growing sources of raw, unstructured big data from digital surveillance technologies like video cameras, police body cameras, and automated license plate readers. The prosecutors of the future will sit on a wealth of valuable investigative insights – all searchable and potentially relevant for a more aggressive and proactive investigation strategy.But as helpful as these new …


Policing Predictive Policing, Andrew Ferguson Jan 2017

Policing Predictive Policing, Andrew Ferguson

Articles in Law Reviews & Other Academic Journals

Predictive policing is sweeping the nation, promising the holy grail of policing – preventing crime before it happens. Police have embraced predictive analytics and data-driven metrics to improve law enforcement tactics, practice, and strategy. Predictive “hot spots” become targets for intensive police surveillance. Targeted “hot people” become suspects. In big cities and small towns, data-based predictions drive police patrol schedules. Risk assessment algorithms target suspicious individuals. Increased data collection fuels a growing feedback loop requiring more robust data crunching systems.All of these predictive innovations share one thing in common: a belief that crime can be understood by identifying and analyzing …


Policing Criminal Justice Data, Wayne Logan, Andrew Ferguson Jan 2016

Policing Criminal Justice Data, Wayne Logan, Andrew Ferguson

Articles in Law Reviews & Other Academic Journals

This article addresses a matter of fundamental importance to the criminal justice system: the presence of erroneous information in government databases and the limited government accountability and legal remedies for the harm that it causes individuals. While a substantial literature exists on the liberty and privacy perils of large multi-source data assemblage, often termed "big data," this article addresses the risks associated with the collection, generation and use of "small data" (i.e., individual-level, discrete data points). Because small data provides the building blocks for all data-driven systems, enhancing its quality will have a significant positive effect on the criminal justice …


The Big Data Jury, Andrew Ferguson Jan 2016

The Big Data Jury, Andrew Ferguson

Articles in Law Reviews & Other Academic Journals

This article addresses the disruptive impact of big data technologies on jury selection.Jury selection requires personal information about potential jurors. Current selection practices, however, collect very little information about citizens, and litigants picking jury panels know even less. This data gap results in a jury selection system that: (1) fails to create a representative cross-section of the community; (2) encourages the discriminatory use of peremptory challenges; (3) results in an unacceptably high juror “no show” rate; and (4) disproportionately advantages those litigants who can afford to hire expensive jury consultants.Big data has the potential to remedy these existing limitations and …


Defending Data, Andrew Ferguson Jan 2015

Defending Data, Andrew Ferguson

Articles in Law Reviews & Other Academic Journals

Defending Data proposes a data-driven, systems-based approach to improving public defense in America.Public defenders represent millions of defendants every year. Yet, public defense remains a largely data-less enterprise, a black box of discretionary decisions disconnected from any systemic analysis about the relationship between defender practices and case outcomes. Defending Data adopts a novel approach to the crisis of public defense. Building off of the successful implementation of system-based approaches in other complex, high-risk industries such as aviation and medicine, Defending Data explains how defenders can develop a data-driven systems approach to public defense.Defending Data begins by describing the data deficit …


Big Data Distortions: Exploring The Limits Of The Aba Leatpr Standards, Andrew Ferguson Jan 2014

Big Data Distortions: Exploring The Limits Of The Aba Leatpr Standards, Andrew Ferguson

Articles in Law Reviews & Other Academic Journals

This article examines the American Bar Associations’ Standards for Criminal Justice proposed Law Enforcement Access to Third Party Records (LEATPR). The article was written to be part of an Oklahoma Law Review Symposium on the subject of the LEATPR Standards. The article explores how the ABA LEATPR Standards can survive the impact of big data policing. Big data policing, as described here, involves utilizing vast, networked databases to investigate and also predict criminal activity. Big data policing involves the use of not just third party, but "fourth party" commercial aggregators as well as de-identified data sets, that eventually can be …