Author Description

Street gangs have plagued the United States for decades. One focus of current gang prevention efforts strives to reduce the number of new recruits to local street gangs. This research proposes the use of modeling and decision analysis to aid in identifying potentially "at risk" children likely to join a street gang. A stronger means of identification of "at risk" children can lead to a more efficient placement of resources to reduce the number of street gang recruits.