CJ 305 project one

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Southern New Hampshire University *

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305

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Information Systems

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Dec 6, 2023

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1 Project One Ashley McIntosh Southern New Hampshire University
2 Predictive Policing is defined as “involving using algorithms to analyze massive amounts of information in order to predict and help prevent potential future crimes.” (Lau, 2020). This method uses information from previous crimes to understand specific where future crimes may happen and in what time frame that crime may occur. This method of policing may help police pinpoint crime areas more efficiently than their intuition. The main function of type of policing is to maintain public safety and reduce crime as much as possible. According to the article by Tim Lau, “The Chicago Police Department ran one of the biggest person-based predictive policing programs in the United States. First piloted in 2012, the program, called the “heat list” or “strategic subjects list,” created a list of people it considered most likely to commit gun violence or to be a victim of it. The algorithm, developed by researchers at the Illinois Institute of Technology, was inspired by research out of Yale University that argued that epidemiological models used to trace the spread of disease can be used to understand gun violence. Chicago police frequently touted the program as key to their strategy for combating violent crime.” (Lau, 2020). The last quote goes into how crime mapping supports predictive policing. According to the article, “ Computerized crime mapping technology enables law enforcement agencies to analyze and correlate data sources to create a detailed snapshot of crime incidents and related factors within a community or other geographical area.” (Mamalian & LaVigne, 1999). These types of maps use preexisting data to sort out what areas would be attracted to criminals, what type of crimes would be committed and what times these crimes could happen. There are additional tools that law enforcement could use as well. One thing that law enforcement could use is surveillance video and cameras. This tool is footage of things that may have happened on a specific date and a time. This tool keeps a feed of things that may happen,
3 and it could add to the data for predictive policing because if a certain crime keeps on occurring in a certain area, then the surveillance video helps keep the data. Just like with any method of policing, there are pros and cons. A con of using predictive policing is the lack of information that is given to the public on how they come up with the information for predictive policing. Also, how the police department intends to use the information they get from the predications. A pro from predictive policing is that is shows that police departments are being productive in trying to prevent crime and increase public safety. Some technologies that could assist police agencies with investigations are GPS systems. This could help pinpoint the suspect or it could tell if a suspect was at a scene of the crime. Surveillance videos show footage of the crime being committed and the person committing the crime. Also, facial recognition technology as well. Bias most certainly can be introduced into predictive policing. Another technology that may assist with police investigation is social media. Victims or the suspect may post details about a crime that was committed. Those posts may have clues that may be important to the crime. One law that may limit predictive policing is the 4 th amendment. This prohibits police from searching someone or stopping them without reasonable cause. Predictive police could cause Biased because if police are looking for a specific person and they only have generic characteristics then, it may cause police to stop the wrong person.
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4 References Lau, T. (April 1, 2020). Predictive Policing Explained | Brennan Center for Justice Mamalian, C.A. & LaVigne N.G. (January 1999). The Use of Computerized Crime Mapping by Law Enforcement: Survey Results (Research Preview) (ojp.gov) Crimes Maps: City Of Chicago. (n.d) Crimes - Map | City of Chicago | Data Portal