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Government CIO Outlook | Wednesday, September 15, 2021
The Big Data revolution continues to reshape various spheres of existence. Its effect has already extended well beyond the realm of business.
FREMONT, CA: Law enforcement agencies can identify criminals even before they commit crimes using advanced analytics. Crime analytics is an effective tool for proactive crime prevention and investigation. But it would be useless without its users. The first positive consequences of algorithm-human collaboration have been established. Let's examine how Big Data can help fight crime.
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The LAPD started using big data crime analysis in 2010. They discovered that crime follows the same pattern as seismic aftershocks. While predicting an earthquake is difficult, predicting its aftershocks is simple. Using crime data, the LAPD created an algorithm that can identify trends in criminal occurrence. A pattern of illegal activity matched that of aftershocks whenever a crime happened in one place.
Software for reducing crime
[vendor_logo_first]PredPol, the most well-known predictive policing program, was created and utilized initially by Los Angeles and Santa Cruz police departments. With a precision of 500 square feet, the software can forecast where crimes are likely to occur. Officers armed with data already have some impressive outcomes—in Los Angeles, there has been a 33 percent decrease in burglaries and a 21% decrease in violent crimes in areas where the program has been used. Unsurprisingly, other city governments have quickly expressed interest in the ground-breaking new software. After the Atlanta Police Department used PredPol, the city saw a 19 percent decrease in total crime and other examples of other positive deployments. PredPol software is now being trialed in over 150 locations across the United States, with additional cities likely to follow.
Other significant developers of analytical tools, such as IBM, do not lag. IBM is notable for being a substantial participant in purchasing analytic start-ups and spending billions of dollars on predictive software. They launched Coplink software a few years ago, which enables police departments across the United States to mine one another's databases to locate wanted individuals. Even if someone gets arrested in Arizona for jaywalking, police officers can compare his personal information and immediately identify him as the suspected murderer from North Dakota hundreds of miles away.
Recognize criminal patterns
The applications of Big Data criminal investigation techniques are not limited to this. Advanced analytics is capable of detecting patterns of illegal activity ranging from burglary to murders or domestic violence. Police departments now can sift through massive volumes of data to identify specific lawbreakers. For instance, officers might anticipate the future actions whose previous crimes have been documented by evaluating his entrance methods, the time of the break-ins, the type of properties targeted, and the geographical distance of earlier burglaries. The information on a specific criminal can then be combined with national records to conduct a large-scale study of burglaries, assisting police officers in identifying patterns on when and where break-ins are likely to occur next. With comprehensive data on crime patterns, law enforcement organizations can deploy additional personnel in high-risk scenarios. If they know, for example, that burglaries are more likely to occur in certain districts during certain seasons and hours, they can assign additional police officers to those areas.
See Also: Top Law Enforcement Solution Companies
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