Predicting Criminal Activity—
Department of Homeland Security
Motorcycle gangs have taken root in Louisiana and conduct a lucrative illegal trade in drugs and guns between the United States and Mexico. These gangs are violent and territorial. In addition to trafficking, they are responsible for murders, assaults, and armed robberies—and they have extensive links both to organized crime and a variety of street and prison gangs.
Modeling Mobile Criminal Gangs
As a part of its efforts to stamp out these gangs, the Department of Homeland Security and the Louisiana State Police have asked CCRi to develop a tool to predict their criminal activities. CCRi is employing much the same approach it is using as part of its STALK project, designed to combat asymmetric threats in Iraq, Afghanistan, and other areas of the world. Here again, CCRi is fusing historical data with a wide range of spatial and temporal information that serves as a proxy for direct observation and local knowledge employ an optimization algorithm to model gang preferences.
Determining a Gang’s M.O.
In particular, CCRi is developing classification techniques to generate intelligence on each of the individual motorcycle gangs, in essence deriving its distinctive operational signature. Understanding each gang’s characteristics in turn increases the accuracy of our predictive modeling. This information will help law enforcement officials track the gangs more closely, identify their territories and areas of influence, and develop more effective strategies to dismantle and destroy them.
CCRi Capabilities
DATA FUSION
PREDICTIVE MODELING
CLASSIFICATION