Strategic Subject List - Historical

The program described below ended in 2019. This dataset is being retained for historical reference. The information displayed represents a de-identified listing of arrest data from August 1, 2012 to July 31, 2016, that was used by the Chicago Police Department’s Strategic Subject Algorithm, created by the Illinois Institute of Technology and funded through a Department of Justice Bureau of Justice Assistance grant, to create a risk assessment score known as the Strategic Subject List or “SSL.” These scores reflect an individual’s probability of being involved in a shooting incident either as a victim or an offender. Scores are calculated and placed on a scale ranging from 0 (extremely low risk) to 500 (extremely high risk). Based on this time frame’s version of the Strategic Subject Algorithm, individuals with criminal records are ranked using eight attributes, not including race or sex. These attributes are: number of times being the victim of a shooting incident, age during the latest arrest, number of times being the victim of aggravated battery or assault, number of prior arrests for violent offenses, gang affiliation, number of prior narcotic arrests, trend in recent criminal activity and number of prior unlawful use of weapon arrests. Please note that this data set includes fields that are not used to calculate SSL, for example, neither race nor sex are used in the Strategic Subject Algorithm. Portions of the arrest data are de-identified on the basis of privacy concerns. The attributes used in the Strategic Subject Algorithm were revised on an ongoing basis during the lifetime of the program.