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The NY Police department has a regular CompStat meeting so that policing actions are relevant and make use of the most current data (What is CompStat, 2013, University of Maryland). "Contrary to the reactive policing model, the CompStat model strives to deploy resources to where there is a crime problem now, as a means of heading off the problem before it continues or escalates. As such, the tactics should be deployed in a timely manner" (What is CompStat, 2013, University of Maryland).
Feedback: Another important reason for frequent meetings is that they provide consistent feedback as to whether the tactics have been effective. CompStat is a self-critical, not a self-congratulatory model. "Problem-focused strategies are normally judged a success by a reduction in or absence of the initial crime problem. This success or lack thereof, provides knowledge of how to improve current and future planning and deployment of resources" (What is CompStat, 2013, University of Maryland). Both the department's strategies...
Determine how information systems have allowed police departments that implement tools such as CompStat to respond to crime faster.
Although no one can foresee the future CompStat makes it far easier to anticipate it. Before CompStat was instituted, the dominant model of policing was essentially reactive. Officers responded to crime, or concentrated their preventative energies in areas where crime was historically a problem. However, given that crime hot spots can change very quickly with shifting demographics, or can exhibit subtle differences based upon the time of day or year, rigorous statistical analysis enable departments to more effectively anticipate where and what types of crimes will occur in a manner that reflects the current reality.
References
What is CompStat? (2013). University of Maryland. Retrieved:
http://www.compstat.umd.edu/what_is_cs.php
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Under the stewardship of Police Commissioner Howard Safir, the NYPD began analyzing daily crime statistics collected from its 40,000 officers throughout the five boroughs of New York City and generating computer modeling of crime trends in a system dubbed CompStat that allowed the accurate identification of crime trends with pinpoint accuracy, often permitting nearly as precise predictive modeling via extrapolation (Safir, 2003). The other main benefit and purpose of CompStat