ARTICLE TAG

Rhema Vaithianathan

Youth Services Insider

6/19/2019

Can Predictive Analytics Root Out the Social Workers Most Likely to Break up Black Families?

Daniel Heimpel

The idea of using predictive analytics in child welfare easily conjures images of child abuse investigators targeting parents a machine deems most likely to harm their children. Because black families are so disproportionately likely to be involved with the child protection system, critics credibly argue that predictive risk modeling will only exacerbate existing racial bias.

8/29/2017

Five Lessons for Implementing Predictive Analytics in Child Welfare

Opinion

Rhema Vaithianathan

Predictive risk modeling (PRM) offers new and exciting chances to solve big, entrenched problems. In child welfare, one of those problems is accurately identifying children at risk of maltreatment, work that requires a gauge of not only immediate risk, but also the future likelihood of harm.

5/26/2016

Pennsylvania County Leads in Use of Big Data to Stem Child Abuse, Probes Ethics First

Journalism for Social Change

Computer algorithms guide our decisions in big ways and small. They nudge us to buy a particular blender on Amazon and tailor ads to our interests on our Facebook pages, but also seek to reduce repeat domestic violence arrests and assess risk during criminal sentence proceedings.

8/7/2015

New Zealand’s Child Abuse Analytics Study Hits Political Snag

Darian Woods

According to documents released in late July, New Zealand has halted a proposed study of a new child abuse screening tool, which relies on big data to discern risk of maltreatment.

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