"The ability to detect and analyze changes in the geographic patterns of crime and disorder is an innovation in policing which holds the potential to enhance the organizational capacity of police departments across the country."
Just over a year ago, we proudly announced that Azavea had been awarded a Small Business Innovation Research (SBIR) Phase I grant from the National Science Foundation (NSF) for the development of our HunchLab product, a set of innovative software tools that scour the current and historic data of a police department, search for changes in geographic patterns, apply spatial statistics to test for significance, and send alerts to relevant law enforcement personnel. Today, we are thrilled to announce that NSF has awarded us Phase II funding to further development of this software and its commercialization.
Our Phase I project proved the feasibility of building the application, and the Phase II project will refine the application and build additional functionality, including alternate workflows for different user types, developing a new user interface, expanding the alert infrastructure, and building text mining capabilities. The result will be a commercial version of the software.
Preventing crime is a more sophisticated task than simply mapping incidents or arrests and deploying resources accordingly. The ability to detect and analyze changes in the geographic patterns of crime and disorder is an innovation in policing which holds the potential to enhance the organizational capacity of police departments across the country.
HunchLab was inspired by the Crime Spike Detector that Azavea developed to help the Philadelphia Police Department identify when and where unusual increases in crime are occurring. Read our white paper for more information. The Crime Spike Detector, which has been in operation since June 2005, uses a spatial statistics algorithm developed in conjunction with Dr. Tony Smith (University of Pennsylvania) to compare current crime to historical crime across the city. Each night this ‘data mining’ service checks for spikes in different types of crime. Unusual increases result in an email being sent to the relevant district captain. The email details the severity of the spike and links to an online report with maps, charts and tables, enabling analysis of the result. .
Although HunchLab will initially be developed to assist with crime detection, tools such as the Spike Detector and HunchLab are applicable in any application where events display geographic changes in distribution, such as disease occurrence, consumer buying patterns, real estate sales, and property and mortgage fraud.
HunchLab is supported by the Small Business Innovation Research program of the National Science Foundation, Directorate for Engineering, Division of Industrial Innovations and Partnerships, Award Number (IIP-0750507).
This is the fourth time in two years that Azavea has been awarded an SBIR grant. Previous awards were SBIR Phase I awards from the National Science Foundation, the U.S Department of Education and the U.S Department of Agriculture.