Spot crime before it occurs
Spot crime before it occurs
Can GPS Trackers Help Stop Prescription Painkiller Theft? | Fast Company
Police in New York City are planning to use fake prescription painkiller pill bottles with GPS trackers to try to curb the theft of highly addictive prescription pills, police commissioner Ray Kellyreportedly outlined yesterday in a speech at Bill Clinton’s Foundation’s conference on health issues in La Quinta, Calif.
Under the plan, which has been adopted by a few police departments across the country, police would ask pharmacies to store the fake bottles among the real prescription pills. When one is stolen (or removed from its home), it will emit a special signal that will allow police to track it.
“IBM is running in partnership with police departments across the nation, crunching massive amounts of public information to try to predict where and when crimes will occur. The project, known as CRUSH — Criminal Reduction Utilizing Statistical History — has proven very effective in pilot programs in several American cities, including Memphis, Tennessee, where it been credited with reducing serious crimes by 30 percent and violent crimes by 15 percent”
A mathematical model that has been used for more than 80 years to determine the hunting range of animals in the wild holds promise for mapping the territories of street gangs, a UCLA-led team of social scientists reports in a new study.
“Charleston’s police department is partnering with software giant IBM on a pilot project to better identify trends in armed robberies. By plugging in a variety of data, including variables such as the season, time of day and even the weather, officials hope to speed up results and uncover weak spots through what the industry calls “predictive analytics.”
Predictive Analytics - Police Use Analytics to Reduce Crime (by IBM)
IBM announced Tuesday three IBM Smarter Analytics Signature Solutions that blend multiple analytic products, proven models and algorithms, and supporting services from IBM Global Business Services (GBS) to address fraud-detection, risk-analysis, and customer-insight scenarios.
The idea is to tackle high-profile business challenges where C-level executives and line-of-business customers want to move from being reactive to being predictive. “The emphasis is on outcomes, not products, speeds, and feeds,” said Deepak Advani, IBM’s VP of predictive analytics, in an interview with InformationWeek. ”We’re putting the pieces together to accelerate time to value.”
The three solutions—Anti-Fraud, Waste & Abuse; CFO Performance Insight; and Next-Best Action—might include a range of products from IBM’s vast software portfolio. An Anti-Fraud, Waste & Abuse solution, for example, might blend IBM SPSS predictive analytics, iLog rules management, WebSphere case management, and the IBM Netezza data warehousing capabilities.
The police department of Santa Cruz, California is testing a new method for apprehending criminals: beating them to the crime scene. No, they haven’t harnessed a group of pre-cogs; they’re relying on a computer program that analyzes past crime statistics.
“Based on models for predicting aftershocks from earthquakes, it generates projections about which areas and windows of time are at highest risk for future crimes by analyzing and detecting patterns in years of past crime data. The projections are recalibrated daily, as new crimes occur and updated data is fed into the program. … For the Santa Cruz trial, eight years of crime data were fed into the computer program, which breaks Santa Cruz into squares of approximately 500 feet by 500 feet. … Officers are given a list of the 10 highest-probability ‘hot spots’ of the day at roll call. They check those areas during times that they are not out on service calls. Before the program started, they made such ‘pass through’ checks based on hunches or experience of where crimes were likely to occur.”
Cities all over the world are getting smarter. By collecting, analyzing and sharing data, your city can be safer, too.
Smarter Public Safety: Protecting Citizens (via IBMAdvertising)
Mapping Crime in Oxford Over Time | FlowingData
Mentorn Media and Cimex Media, on behalf of BBC, explore crime patterns in Oxford over time.
Police departments that once treated information technology as an internal tool for tracking crime are opening up to the public, inviting them to join online discussion groups, participate in social networking and even help solve crimes. (via Online — and in the Loop — With D.C. Police - washingtonpost.com)

It’s often a mundane detail that ultimately solves a crime. A nickname. A parking ticket. A past address. And it is mundane details—billions of them—that populate the data warehouse of the New York City Real Time Crime Center.
By collecting previous crime statistics and external factors — weather, time of day, day of week, moon phases, etc. — officers can estimate when and where crimes might occur using business intelligence (BI) capabilities. A new system was rolled out in a phased implementation beginning in 2006 that provides predictive crime analysis, data mining, reporting and GIS capabilities to the entire Richmond, Virginia police department. (via New Software Predicts Crime)