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Showing posts with the label compstat

What is Precision Policing?

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Precision Policing Definition Precision policing is a systematic, proactive and almost precognitive approach to ensuring public safety . It organizes a police agency’s structure around data and information to build investigations of high value suspects committing the most crimes. It involves a more collaborative inter-agency cooperation, but also a strong focus on community collaboration. What was once the job of the detective department, is now a whole agency collective. It was developed by the NYPD in 2014 and championed by the recent drop in crimes across the city . With precision policing, the NYPD has moved away from the controversial stop and frisk and moved toward identifying people and patterns with data. NYPD Commissioner Bill Bratton describes it as "fewer arrests for minor offenses—'broken windows' types of offenses—while at the same time more significant numbers of arrests for the serious crimes that we're focusing on."  Although stop

CompStat 2.0: Police Data Transparency and Community Trust

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Two agencies, The Vera Institute of Justice in accordance with The Police Foundation and the NYPD in accordance with Microsoft, have recently announced their own separate development, test, and implementation of a model for law enforcement agencies aiming to upgrade current CompStat processes. Both The Vera Institute and NYPD are calling their new versions of CompStat ‘CompStat 2.0’. The Vera Institute has a history of work on public safety related issues like police management practices, police-community relations, misconduct, and policing in democratic societies worldwide. And, the Vera Institute worked with the NYPD in the past on development of projects including The Manhattan Summons project as well as the development and implementation of the original CompStat launched by NYPD Commissioner Bill Bratton in the early 90’s. The New CompStat 2.0 (two different versions) Unfortunately, we weren’t able to receive any information from NYPD PIO office on their version o

How Police Agencies Can Avoid a DOJ Investigation

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For over 20 years the Department of Justice has had the ability to investigate police agencies for violating constitutional rights. The investigations begin to enforce laws like the Violent Crime Control and Law Enforcement Act of 1994 , the Omnibus Crime Control and Safe Streets Act of 1968 (“Safe Streets Act”), and Title VI of the Civil Rights Act of 1964 (“Title VI”). The laws are intended to address systemic issues rather than individual complaints of police agencies.  The DOJ can file civil lawsuits against local government in order for them to adopt reforms - which is typically done by consent decrees or memorandums of agreement - before anything is taken to trial. Out of the estimated 18,000 police agencies in the US, about 65 have been under some sort of investigation by the DOJ since the 90’s. The DOJ investigations included misconduct in numerous areas, but the main three areas were: Use of Force Stops, Searches and Arrests Discriminatory Policing Area

The Crowd Sourced Crime Analyst

One of the main goals for SpotCrime is to get crime information to as much of the public as possible.  Engagement is our motto.  And you don't need to believe we are doing this out of the goodness of our hearts, we have a business model around our approach - like any news organization we have ads around the content we provide.  Get more people to view the content, and increase the amount of ads we can show.   Any system that provides incentives is susceptible to being gamed, and our ad model should be scrutinized just like any other.  However, since we do not charge police departments for the service and have no financial ties to the police agency, we ask that you measure your scrutiny with our independence and our success of reaching the public.  Currently, SpotCrime reaches more people with crime data than any other system in the world. We feel there are many benefits to encouraging police departments to be transparent and timely with their crime data.   And we are encourage