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Predictive and prescriptive analytics, machine learning and child welfare risk assessment: The Broward County experience

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  • Schwartz, Ira M.
  • York, Peter
  • Nowakowski-Sims, Eva
  • Ramos-Hernandez, Ana

Abstract

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 risk assessment instrument used in Broward County (Ft. Lauderdale, Florida). The findings from this study indicate that, indeed, predictive analytics and machine learning would significantly improve the accuracy and utility of the child welfare risk assessment instrument being used. If the predictive analytic and machine learning algorithms developed in this study would be deployed, there would be improved accuracy in identifying low, moderate and high risk cases, better matching between the needs of children and families and available services and improved child and family outcomes. This paper also identifies further areas of research and study.

Suggested Citation

  • Schwartz, Ira M. & York, Peter & Nowakowski-Sims, Eva & Ramos-Hernandez, Ana, 2017. "Predictive and prescriptive analytics, machine learning and child welfare risk assessment: The Broward County experience," Children and Youth Services Review, Elsevier, vol. 81(C), pages 309-320.
    • Handle: RePEc:eee:cysrev:v:81:y:2017:i:c:p:309-320
    DOI: 10.1016/j.childyouth.2017.08.020
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    References listed on IDEAS

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    1. Cohen, Burton J. & Kinnevy, Susan C. & Dichter, Melissa E., 2007. "The quality of work life of child protective investigators: A comparison of two work environments," Children and Youth Services Review, Elsevier, vol. 29(4), pages 474-489, April.
    2. Baumann, Donald J. & Grigsby, Charles & Sheets, Janess & Reid, Grant & Graham, J. Christopher & Robinson, David & Holoubek, Jason & Farris, James & Jeffries, Victoria & Wang, Eugene, 2011. "Concept guided risk assessment: Promoting prediction and understanding," Children and Youth Services Review, Elsevier, vol. 33(9), pages 1648-1657, September.
    3. Camasso, Michael J. & Jagannathan, Radha, 2000. "Modeling the reliability and predictive validity of risk assessment in child protective services," Children and Youth Services Review, Elsevier, vol. 22(11-12), pages 873-896.
    4. G. V. Kass, 1980. "An Exploratory Technique for Investigating Large Quantities of Categorical Data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 29(2), pages 119-127, June.
    5. Baird, Christopher & Wagner, Dennis, 2000. "The relative validity of actuarial- and consensus-based risk assessment systems," Children and Youth Services Review, Elsevier, vol. 22(11-12), pages 839-871.
    6. Shlonsky, Aron & Wagner, Dennis, 2005. "The next step: Integrating actuarial risk assessment and clinical judgment into an evidence-based practice framework in CPS case management," Children and Youth Services Review, Elsevier, vol. 27(4), pages 409-427, April.
    7. Putnam-Hornstein, Emily & Needell, Barbara, 2011. "Predictors of child protective service contact between birth and age five: An examination of California's 2002 birth cohort," Children and Youth Services Review, Elsevier, vol. 33(8), pages 1337-1344, August.
    8. Putnam-Hornstein, Emily & Needell, Barbara, 2011. "Predictors of child protective service contact between birth and age five: An examination of California's 2002 birth cohort," Children and Youth Services Review, Elsevier, vol. 33(11), pages 2400-2407.
    9. Coohey, Carol & Johnson, Kristen & Renner, Lynette M. & Easton, Scott D., 2013. "Actuarial risk assessment in child protective services: Construction methodology and performance criteria," Children and Youth Services Review, Elsevier, vol. 35(1), pages 151-161.
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