Assignment 1 Predictive Policing
In 1994, the New York City Police Department adopted a law enforcement crime fighting strategy known as COMPSTAT (COMPuterSTATistics). COMPSTAT uses Geographic Information Systems (GIS) to map the locations of where crimes occur, identify “hotspots”, and map problem areas. COMPSTAT has amassed a wealth of historical crime data. Mathematicians have designed and developed algorithms that run against the historical data to predict future crimes for police departments. This is known as predictive policing. Predictive policing has led to a drop in burglaries, automobile thefts, and other crimes in some cities.
Write a four to five (45) page paper in which you
Your assignment must follow these formatting requirements
The specific course learning outcomes associated with this assignment are
Grading for this assignment will be based on answer quality, logic / organization of the paper, and language and writing skills, using the following rubric.
1. Compare and contrast the application of information technology (IT) to optimize police departments’ performance to reduce crime versus random patrols of the streets.
Information Technology and Performance optimization of Police department Increase in crime rate, which is widespread demands policing to be proactive rather than reactive. It requires change from traditional to strong strategically methods combined with better intelligence. This initially led to the innovation of predictive policing in 1994 by NYPD. NIJ defines Predictive Policing as “taking data from disparate sources, analyzing them and then using the results to anticipate, prevent and respond more effectively to future crime” This paved way for evolution of COMPSTAT (Computer Statistics) which used all crime related data as its input to anticipate a crime. (Willis, J., et al, 2004)
Traditional methods include random patrolling which has limited ability to identify crime because patrolling entire location may not be possible. This would involve additional Police personnel and lot of time. Accurate anticipation, timely targeted action and reduce resources for random patrolling turns into achievable goals.
2. Describe how COMPSTAT, as an information system (IS), implements the four (4) basic IS functions:
Input - Data gathering process which is building block of COMPSTAT comprises of information compiled from variety of sources like police incidents, arrest reports, suspect debriefing, telephone calls, and field interview reports. Pushing the inputs to Incident Reporting System will help to maintain a database for future reference. Crime analysts were responsible ...
Information Technology and Performance optimization of Police department Increase in crime rate, which is widespread demands policing to be proactive rather than reactive. It requi...
Abstract
This paper represents the Information Systems Decision-Making course and will address the following two issues.
* We will discuss New York City Police Department crime fighting strategy that is also known as Computer Statistics (COMPSTAT).
* We will also look at this issue Strengths, Weaknesses, Opportunities and Threats analysis (SWOT) of the law enforcement policies.
The goals of this Information Systems Decision-Making paper will be to reflect that the writer has developed the skills that will lead to a more productive workplace environment and learning experience.
Compare and Contrast
Let us first look the two different method that are being applied in this scenario. Using random patrols in an effort to reduce crime an alternative, useful and productive. In fact the process of using random patrols involves a bit of social interaction that could be very useful in the prevention of future and present crimes. Officers walking the beat get to meet and know people in the neighborhood; they get to interact with families and can make a difference from a more personal level.
Placing officers where crimes are likely to occur in the future in known as Predictive Policy. This is the use...
