Predictive Policing In The 21st Century

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In the United States, criminal justice enterprises are experimenting with a relatively new technology innovation to identify and prevent illegal activity. Using predictive policing technology, law enforcement agencies forecast the people and places most likely to contribute to future crimes based on information gathered from local and national sources. Depending on the desired forecast, the agencies analyze the information using various forensic processes. Around the country, law enforcement agencies report substantial performance improvements resulting from predictive police technology implementation.

Policing in the 21st Century

Law enforcement agencies have practiced predictive policing for years. [1] However, big data analysis technology provides the agencies with unprecedented forecasting ability. The underlying framework originates directly from processes developed for businesses to forecast consumer and market trends. Law enforcement agencies, however, forecast crime patterns and improve tactical efficiency and high-risk
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[4] Understanding the people and factors contributing to crime allows the departments to deploy limited resources to the most impactful activities and locations. Even though the technology is notably successful, improvements continue to materialize. The Public Safety Internet of Things (PSIOT), encompassing civilian and law enforcement communications and monitoring devices, promises to produce vast actionable data stores, while engineers work diligently to construct a digital infrastructure to support mass data transfers. Emerging artificial intelligence programs support analytic workloads beyond human capability, and mobile technology is expanding command center level intelligence to the field. As this continues, predictive policing technology will increasingly increase performance among law enforcement

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