In Search of a Silver Bullet: Child Welfare's Embrace of Predictive Analytics

68 Juv. & Fam. Ct. J. 67 (2017)

Posted: 10 Oct 2018

See all articles by Christopher Church

Christopher Church

Emory University School of Law; University of South Carolina School of Law

Amanda J. Fairchild

University of South Carolina

Date Written: 2017

Abstract

Predictive analytics has shaken up a number of fields, including child welfare. Predictive analytics refers to the process of applying statistical algorithms to data to make informed guesses about future events. Although predictive analytics can help professionals make decisions more accurately, objectively, and quickly, there is a concern that some methods may result in discriminatory practices or consequences for vulnerable children and families. This paper examines a number of programmatic and ethical considerations for determining the appropriate role of predictive analytics in child welfare.

Keywords: child welfare, foster care, data analysis, predictive analytics, predictive modeling, child protection, CPS

Suggested Citation

Church, Christopher and Fairchild, Amanda J., In Search of a Silver Bullet: Child Welfare's Embrace of Predictive Analytics (2017). 68 Juv. & Fam. Ct. J. 67 (2017), Available at SSRN: https://ssrn.com/abstract=3250087

Christopher Church (Contact Author)

Emory University School of Law ( email )

1301 Clifton Road
Atlanta, GA 30322
United States

University of South Carolina School of Law ( email )

Clinical Law Office
1525 Senate Street
Columbia, SC 29208
United States

Amanda J. Fairchild

University of South Carolina ( email )

701 Main Street
Columbia, SC 29208
United States

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