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dc.contributor.advisorBoustead, Anne E.
dc.contributor.authorGuzman, Samantha Grace
dc.creatorGuzman, Samantha Grace
dc.date.accessioned2019-06-13T03:54:03Z
dc.date.available2019-06-13T03:54:03Z
dc.date.issued2019
dc.identifier.citationGuzman, Samantha Grace. (2019). Implementing Predictive Policing: A Policy Analysis Approach (Bachelor's thesis, University of Arizona, Tucson, USA).
dc.identifier.urihttp://hdl.handle.net/10150/632758
dc.description.abstractPredictive policing techniques have grown rapidly in both sophistication and use over the past decade; yet, there is a large amount of legal and public pushback against the concept. This thesis aims to address privacy, equity and efficacy concerns by examining the accuracy and fairness of existing predictive policing mechanisms. After providing a background on both conventional and predictive policing methods, I then introduce a framework of best practices for predictive policing implementation for policy-makers and police departments to follow. To provide examples of the framework in action, I describe how various departments have implemented predictive policing and discuss the implications of such. Finally, the paper concludes with overall policy recommendations and key takeaways for future use of predictive policing technology.
dc.language.isoen
dc.publisherThe University of Arizona.
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.titleImplementing Predictive Policing: A Policy Analysis Approach
dc.typetext
dc.typeElectronic Thesis
thesis.degree.grantorUniversity of Arizona
thesis.degree.disciplineHonors College
thesis.degree.disciplineCriminal Justice Studies
thesis.degree.nameB.S.
refterms.dateFOA2019-06-13T03:54:03Z


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