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Showing posts with the label police involved shootings

SpotCrime Weekly Reads: the promise of crime data and big data, police shootings, genetic history solves crimes

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Police involved shooting rulings tipping point, gun violence in schools leads to more security, cybersecurity spending, the promise of crime data and big data in policing, and more... POLICE CONDUCT What's Not Reported After a Police-Involved Shooting  (GovEx) Mississippi agency to stop probing police shootings in Jackson  (WJTV12) Officer shortage slows response time in Santa Fe  (SantaFeNewMexican) 2 Cop Convictions in 2 Months: Is This a Tipping Point in Police Accountability?  (Governing) ABQ working with NYC on crime rate  (ABQ Journal) Justice Department awards record $49 million to improve collection of crime data reported to police  (DOJ) Hiring female police officers helps women report violence, sexual assault, study finds  (Phys.org) CRIME RATE A hatchet, scuffle & violent ending: Was Lakeland City Commissioner Michael Dunn justified in pulling the trigger, killing Christobal Lopez?  (the Ledger) A Former CIA Offi...

How to Find Data on Shootings

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Shootings in Baltimore, MD in less than a month period There are many different datasets currently being curated involving shootings - homicides involving firearms, suicides involving firearms, accidental shootings, police involved shootings, mass shootings - but nothing specifically to track all shootings, no matter the circumstance. SpotCrime is the only crime mapping company that intentionally breaks out shootings from assaults and makes a shooting it’s own stand alone icon. In many cases, this is not an easy task. Police agencies identify shootings a couple of ways so the ability for residents to identify when a shooting occurs becomes difficult. Occasionally shooting data is easy to find, and other times it is buried under complex systems of crime classifications. We’ve found that CAD data sets identify shootings immediately, mainly because they have not been assigned a crime classification yet (think UCR/NIBRS). RMS (Records Management System) data can be great if t...