The police use big data to predict the future level of crime

Some police are starting to use big data to predict the circumstances of the crime and when and where illegal acts may occur. This is what you need to know about it.

Law enforcement has changed drastically through technology over the past two centuries. The use of fingerprints was the beginning of the forensic revolution. DNA, ballistic analysis, CCTV and other types of technology also played an important role. But the big date may soon have a greater impact on law enforcement than any 21st-century technological development.

The big data has been used in law enforcement for some time. National crime databases have allowed law enforcement agencies to verify DNA, fingerprints and other forensic data in different jurisdictions across the country. 

Until recently, large data was mainly used to monitor forensic data to solve specific crimes. However, experts have begun using predictive analytics algorithms to identify broader trends. This helps them in several ways:

• They can present convincing cases to obtain emergency resources to fight the recent waves of crime.

• Can identify the likelihood that they are dealing with serial criminals

• They can look for precipitating factors that cause crime epidemics and pass this information on to policymakers to take preventive action.

This could be one of the biggest breakthroughs in the fight against crime around the world.

The growing importance of Big Data in the fight against crime

Police around the world are starting to incorporate large data to predict crime and are adding technology to their police force. The UK is using technology to help create "predictive crime mapping". What this allows is that the police department can predict where the crime will occur before it actually occurs.

The technology is already in use in the United States.

Studies show that the UK has great data that can be used but that for a long time do not have the ability to use the data in any meaningful way.

How Predictive Crime Mapping Works

Big data has been used for almost a decade for predictive mapping of crimes, and technology continues to develop and move forward. At the basic level, this technology is very simple and will create access points based on:

•     Crime Types
•         Date
•          time
•         Places of crime

When this is done, it allows the generation of access points based on data and past criminal charges. Sources show that in the UK, these maps can predict where the crime will occur 10 times better than the police.

Kent and Manchester have used predictive mapping from 2012 to 2013 and using modified software that has already been used for earthquakes, a greater police presence is sent to reduce crime.

Police are printing their predictive maps for use in crime-fighting patrols.

Problems presented using data from past crimes

Despite the highest levels of accuracy, these big-time solutions are also learning from the past so information may be discriminatory or biased as a result. Because? Say, for example, 100 crimes committed in the area by men in the last two years.

This will create a prejudice that men will commit crimes. The same can be inserted by age, religion and race. Therefore, it presents a system that can create a bias and reinforce it in the police force.

Real-time data will be more useful but will be absent from police departments. What predictive algorithms are also working on is trying to identify the risk of a person being a "repeat offender." This information can identify a person as a "high", medium or low risk.

If John Doe is found guilty of rape and all his violations occurred on High Street, the algorithms may suggest John Doe as a rapist if:

• Violations occurred on High Street

• The violations occurred at about the same time as your previous convictions

• Similar women were raped

Of course, it may not be John Doe, but this form of predictive modelling is a big data option. It may be possible to track records, look for similar crimes in similar circumstances, and unite them.

The accuracy of such systems, such as the damage risk assessment tool, has been shown to be highly accurate for low-risk individuals with an accuracy rate of 98%. High-accuracy accuracy rates were 88% accurate.

As information between departments becomes more available, police can monitor crime in all countries, predicting where a serial criminal can strike again.

Big Data is the new weapon against crime

The fight against crime is a major concern in the 21st century. The good news is that the big date is proving to be a valuable tool in the police arsenal in all jurisdictions. This will help reduce the crime epidemics we face.

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