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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 have considered, piloted, or implemented PRM for this purpose. We discuss and analyze the application of PRM to child protection programs, elaborating on the various misgivings that arise from the application of predictive modeling to human behavior, and we present a framework to guide the application of PRM in child welfare systems. Our framework considers three core questions: (1) Is PRM more accurate than current practice? (2) Is PRM ethically equivalent or superior to current practice? and (3) Are necessary evaluative and implementation procedures established prior to, during, and following introduction of the PRM?

The study explores the perspectives of social work students, faculty, and the main employer of social workers with regard to new graduates’ readiness for social work practice in Georgia. The results of focus groups and in-person interviews revealed significant gaps and tension between academic programs and professional practice contributing to students’ low levels of readiness for practice. Participants identified various concerns regarding academic program curricula, field education, and professional practice; although, reasons for new graduates’ lack of readiness for practice highlighted by the main employer and academic program faculty were conflicting and pointed need for further actions.