Society expects social workers and other professionals to use the best available knowledge
in making decisions. Statistical (numerical) data are rapidly becoming an increasing part of …

Objective Research on child protection recurrence has found consistent child, family, and
case characteristics associated with repeated involvement with the child protection system …

This study examined the validity, reliability, equity, and cost of nine juvenile justice risk
assessment instruments. Though many researchers and practitioners believe that risk …

Risk assessment is crucial in preventing child maltreatment since it can identify high-risk
cases in need of child protection intervention. Despite widespread use of risk assessment …

Decision support systems (DSS) which incorporate algorithms trained using administrative
data have been promoted as the next promising development in initiatives to improve and …

Recent developments in digital technology have facilitated the recording and retrieval of
administrative data from multiple sources about children and their families. Combined with …

The current overrepresentation of Indigenous children in Canadian child welfare systems
continues a history of government policies that have separated Indigenous families over the …

Predictive risk modeling (PRM) is a new approach to data analysis that can be used to help
identify risks of abuse and maltreatment among children. Several child welfare agencies …

This study evaluates foster care history characteristics as risk factors for psychopathology.
We examine characteristics of youths' foster care histories separately and as a gestalt (ie …

This paper presents the findings from a study designed to explore whether predictive
analytics and machine learning could improve the accuracy and utility of the child welfare …