Predictive Policing

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Predictive Policing
By
Amiracle L. Grace
CIS500 Information Systems for Decision Making
Professor Constance Blanson
Strayer University
July 16, 2014

ABSTRACT
You will briefly read about

Table of Contents

Introduction

In previous and the most recent years, police officers have increased their use of new technologies to become more effective when it comes to reducing crime. The oldest technology that has been used is COMPSTAT formerly known as Computer Statistics. COMPSTAT has been around to implement strategies in law enforcement on stopping crime before it starts. COMPSTAT builds onto the UCR (Uniform Crime Report) to analyze which crime is being mostly committed, the county (or city), which age group and ethnicity is committing those crimes. COMPSTAT relies on human recognition patterns based on past crimes (Goode, 2011).

In 1994, COMPSTAT was developed within the New York Police Departments. The New York Police Department used COMPSTAT to manage crime. COMPSTAT has been proven to be extremely effective within the New York Police Department. It has become a great success in controlling crimes and its disorder within the police jurisdiction. COMPSTAT is used for strategic decision-making when targeting crime in areas of the city. COMPSTAT is a database that includes daily crime counts by each precinct (Henry, ). In the beginning, police officers of the New York Police Department hand wrote crime complaint reports and the clerical personnel of the precinct typed every single data that was found. The data was viewed by the department supervisors. COMPSTAT has also been used for crime-mapping technology to determine location where crime was taken place (Henry, ).

Just like COMPSTAT, police officer uses Predictive Policing to also reduce crime. Predictive policing is there to reduce crime and to improve better public safety. Predictive policing also gives information to save lives of the people and to clean up crimes within the neighborhoods. Predictive policing doesn’t really replace any traditional policing but it helps with targeting major “hot spots” (National Institute of Justice, 2014). Predictive policing takes data from disparate sources. The sources are then analyzed, and with using the end results from the sources it responds to more effective future crimes. Predictive policing discovers new or previous unknown patterns and trends of crime. Predictive policing not only need help of the department but also help from the community and their trust in reducing crime (Pearsall, 2010). It’s really not all about being a “snitch” but being an informant who cares about the predicament of the neighborhood. Application of IT

The application of IT introduces itself as helping in reducing crime or is it minimizing the use of random patrols of the street. Information technology helps in both ways. Information technology helps in reducing crime because as I stated earlier it targets the “hot spots” of crime that occur each and every day. It only narrows down different areas of the community. By the use of information technology such as COMPSTAT and UCR and other programs, it provides decision-making within the police departments on how to gather more man power to actually focus on the hot spots. Police officers still have to patrol the streets regardless of trying to mainly focus on where crimes are actually being committed and the person who is committing the crime. There are many hot spot that should be looked at every day because people lives are at stake when a crime takes place.

In the beginning, Officers of the law normally goes off a hunch as to where crime is being committed and the location where it may occur but with the help of COMPSTAT being able to directly say where the crime is located (Goode, 2011). There has been symposiums based off predictive policing and the symposiums analyze the use...
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