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Law Enforcement

Pattern of Life Analytics (PoLA) can improve Law Enforcement in a number of ways. By understanding the normal patterns of behavior of people and devices, PoLA can be used to:

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Identify and track suspects

PoLA can be used to identify suspects by analyzing their travel patterns, communication patterns, and other behavioral data. Once a suspect has been identified, PoLA can be used to track their movements and activities.

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Predict crime

PoLA can be used to predict crime by analyzing historical crime data and other factors such as social media activity and economic conditions. This information can then be used to deploy police resources more effectively and prevent crimes from happening in the first place.

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Solve cold cases

PoLA can be used to solve cold cases by re-examining evidence and analyzing it using new techniques. For example, PoLA can be used to identify suspects who were not previously considered or to link crimes that were previously thought to be unrelated.

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Overall

PoLA is a powerful tool that can help Law Enforcement to improve their ability to prevent, detect, and solve crimes. By understanding the normal patterns of behavior of people and devices, PoLA can be used to identify and track suspects, predict crime, and solve cold cases.

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The Los Angeles Police Department

is using PoLA to identify and track suspects in gang-related crimes. For example, the LAPD uses PoLA to analyze travel patterns and communication patterns to identify gang members who are planning to commit crimes.

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The New York Police Department

is using PoLA to solve cold cases. For example, the NYPD used PoLA to identify a suspect in a 30-year-old murder case. The suspect was eventually arrested and convicted.

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