Predictive policing is a trend that uses technology to predict hot crime spots and send police to the area before a crime is committed. By using data mining and crime mapping, police are deployed to areas based on statistical probability and geospatial predictions. This technology is based on the same technology used by businesses to predict sales trends and customer behavior patterns. Now, police departments can use the same technology to predict crime patterns and work to reduce crime in their area.
Predictive policing is putting officers where crimes are more likely to occur. "…it generates projections about which areas and windows of time are at highest risk for future crimes by analyzing and detecting patterns in years of past crime data." (Goode) The data mining generates projections using past crime data to analyze which areas and the time of the day, week, or month, etc. that crime is likely to be committed. The projections are recalibrated daily as new crimes are committed and updated information is added to the data base. It provides information to make decisions in coming up with solutions to better fight crime before it takes place.
The technology program uses mathematical algorithm to predict when and where certain crimes will be committed and puts police at the scene before it happens. It has correctly predicted 40% of the crimes it was designed to monitor. (Shurkin, 2011) If it is proved to be reliable, it could help to utilize resources more efficiently, thus reducing crime with less cost. In a weak economy, predictive policing could help police departments operate more efficiently on reduced budgets. And, it provides for more sound management decisions to cover all areas of the city instead of just the hot spots.
By using the predictive policing technique, police departments are better able to put officers in the areas that are vulnerable to crime, utilizing department manpower. It is more effective than just having the officers randomly patrol the streets. Randomly patrolling the streets, the officers may be in an area of crime or may be in other areas while the crimes are being committed making it hard for officers to keep track of criminal behaviors....
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
Predictive analytics is a statistical technique used to analyze current and historical data in order to make a reasonable prediction about future. In a business environment, organizations employ predictive analytics model to identify market trends, opportunities and risks. Using the predictive analytics, organizations are able to assess potential risks and opportunities to achieve competitive market advantages. In other word, predictive analytics is part of data mining focusing on extracting information
Future of Policing The objective of this study is to examine the future of policing and specifically the trends that are currently affecting policing policy. This work seeks to answer as to some foreseeable critical issues that may affect policing in the future and what changes may need to be made to effectively address these critical issues. The work entitled "55 Trends Now Shaping the Future of Policing" (Cetron and Davies,2008) states
Research a program in community policing or proactive policing that you support.Policing over the last two presidential election cycles has become a very contentious and polarizing issue. For one, the issue of police brutality as it relates to minorities has been well publicized after the killing of George Floyd at the hands Derek Chauvin on video. Since this incident a string of high-profile incidents have erupted throughout the county. As
Critical Review of Knowledge, Gaps, and Best Practices in Interpreting in ILPIntroductionIntelligence-led policing (ILP) is a policing strategy that relies on the use of intelligence to guide police operations. The aim of ILP is to proactively prevent and solve crime, rather than simply responding to incidents after they have occurred. A recent review of the literature found that ILP initiatives have been associated with reductions in crime and disorder, as
Law and Quantification Big Data Policing in the Big Apple. By Ferguson A.G. The article highlights the concept of predictive policing using data collected and technology in order to deploy crime preventive measures rather than reactive measures to given mapped crime hot spots. The coverage by the author of this topic is well balanced since he looks at both extremes; the ideal situation and the shortcomings that maybe experienced with the technology.
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