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来源类型 | Publication |
来源ID | Child 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.” |
URL | https://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. |
条目包含的文件 | ||||||
文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
Predictive Risk Mode(340KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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