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来源类型Publication
来源IDChild Welfare Fact Sheet
Predictive Risk Modeling for Child Protection
Rhema Vaithianathan; Emily Putnam-Hornstein; Matthew Stagner; and Elizabeth Weigensberg
发表日期2019-12-02
出版者Washington, DC: Mathematica
出版年2019
语种英语
概述This document describes how predictive risk models can help child protective services navigate an environment where it is hard to separate “noise” from “signal.”",
摘要

Every year, more than 3.6 million referrals involving about 6 million children are made to child protective services (CPS) in the United States. It is estimated that around one in three American children will have been investigated by CPS for maltreatment by age 18. Flooded with calls, and short on resources, CPS systems are struggling to identify and protect children at risk. This document describes how decision-support tools, such as predictive risk models, can help CPS workers navigate an environment where it is hard to separate “noise” from “signal.”

URLhttps://www.mathematica.org/our-publications-and-findings/publications/predictive-risk-modeling-for-child-protection
来源智库Mathematica Policy Research (United States)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/489788
推荐引用方式
GB/T 7714
Rhema Vaithianathan,Emily Putnam-Hornstein,Matthew Stagner,et al. Predictive Risk Modeling for Child Protection. 2019.
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