A Practical Framework for Considering the Use of Predictive Risk Modeling in Child Welfare

Brett Drake; Melissa Jonson-Reid; María Gandarilla Ocampo; Maria Morrison; Darejan Dvalishvili

doi:10.1177/0002716220978200

A Practical Framework for Considering the Use of Predictive Risk Modeling in Child Welfare

Brett Drake
, Melissa Jonson-Reid
, María Gandarilla Ocampo
, Maria Morrison
, Darejan Dvalishvili

Institute of Clinical and Translational Sciences (ICTS)

Research output: Contribution to journal › Article › peer-review

35 Scopus citations

Abstract

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.

Original language	English
Pages (from-to)	162-181
Number of pages	20
Journal	Annals of the American Academy of Political and Social Science
Volume	692
Issue number	1
DOIs	https://doi.org/10.1177/0002716220978200
State	Published - Nov 2020

Keywords

child protective services
child welfare policy
predictive risk modeling
risk assessment

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10.1177/0002716220978200

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abstract = "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.",

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AU - Dvalishvili, Darejan

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N2 - 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.

AB - 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.

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KW - predictive risk modeling

KW - risk assessment

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A Practical Framework for Considering the Use of Predictive Risk Modeling in Child Welfare

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Keywords

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