predictive risk modeling
Can Predictive Analytics Root Out the Social Workers Most Likely to Break up Black Families?
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.
‘Perpetrator’ Networks Key to Predicting Child Abuse
In the race to dominate the child abuse prediction market, the world’s largest data analytics firm has its eye on what it calls “perpetrator” networks. SAS, with a global workforce of 14,000 and $3.16 billion in revenue in 2015, delivered Florida’s Department of Children and Families a lengthy technical report in August of last year.
Uncharted Waters: Data Analytics and Child Protection in Los Angeles
A county-led forum in Los Angeles marks a pivotal moment in the application of data analytics and risk modeling to child abuse. On Wednesday, July 22 Los Angeles County’s recently formed Office of Child Protection will hold a community forum to discuss the simultaneously disquieting and promising prospect of using “big data” to help determine which children are the most likely to be abused.