Predictive policing, data mining and predictive analysis support the overall mission of law enforcement. This technology builds upon the existing models of crime analysis and crime mapping technology. CompStat and PredPol are two examples of this type of technology. However, this technology is controversial and directly affects the public’s right to privacy. Students will describe, analyze and critique this type of technology in detail and examine the potential implications (assess the strengths, weaknesses and potentials) and benefits to law enforcement and the public. Examine the role of a law enforcement manager (how would you manage or use the technology). Your paper must the following issues. Identification/Introduction of Predictive Policing Implications to Law Enforcement Organizations Role of Law Enforcement Manager Potential benefit to all stakeholders (including the public) Privacy or legal concerns Please make sure the paper has a conclusion that summarizes all of the key points of your paper. The paper must also include: A face page that matches the example listed in the syllabus and handout section of Campus Web. A complete reference page (APA format) that matches the example listed in the syllabus and handout section of Campus Web. The paper must have in-text citations for your references. If you are unsure about in-text citations, please review the APA manual. Please make sure that the paper has an abstract and a reference page please! the book for this class: Rose, Jeffrey A. & Lacher, Donald C. (2016). Managing Public Safety Technology: Deploying Systems in Police, Courts, Corrections and Fire Organizations. Routledge Publishing. ISBN: 9780323296090 Paperback, ISBN: 9781138689954. Available at most major websites. Police Research Executive Forum. (2012). How Are Innovations in Technology Transforming Police?
