In this webinar, Dr. Jesse Russell of NCCD discusses the proven structural factors that bring families to the attention of child welfare agencies and how these factors should be considered when implementing predictive modeling tools. The webinar also looks at how predictive analytics and machine learning can support systems’ efforts to increase equity and use their resources for positive impact.
Learn about the role of predictive analytics in NCCD’s Structured Decision Making® system in this brief overview.
NCCD recently released a report describing efforts made with the Los Angeles County Department of Children and Family Services (DCFS) to prevent youth involved in the children welfare system from crossing over into the juvenile justice system by using predictive analytics in the form of a newly designed actuarial screening assessment tool. Representatives from NCCD, DCFS, and CJJR presented “Using Predictive Analytics in Los Angeles County to Prevent Child Welfare Involved Youth from Crossing Over to Juvenile Justice.” During this 90-minute webinar, presenters shared their experience developing this actuarial screening assessment tool and the lessons learned from implementing it in the field. Participants also learned about the potential for other jurisdictions to develop and implement similar predictive analytics to prevent crossover from occurring.
For the final webinar in our series on predictive analytics and child protection, Dr. Jesse Russell discusses what questions organizations considering predictive analytics should be asking--both of themselves and of researchers. Learn more about how predictive analytics operates in the real world and how to best use it to improve outcomes for children and families.
Three Examples of Predictive Analytics in Child Protection
This webinar is the second of three in a series on predictive analytics in child protection. The first webinar is available here.
Predictive Analytics and Child Protection: Constraints and Opportunities
The first webinar in our series of three on predictive analytics in child protection.