Driven by evidence that child welfare decision-makers judge parents of color more harshly and are more likely to remove their children, there is growing interest in a program that proposes to weed out racial bias when social workers weighing allegations of abuse and neglect decide whether to remove a child from their parents.
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.
Five Lessons for Implementing Predictive Analytics in Child Welfare
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.
The RAND Approach to Child Welfare: Cutting Cost, Improving Outcomes
This week, the RAND Corporation issued a report describing how federal child welfare policy could be changed to improve outcomes for children and youth while saving $12.3 billion. To reach its conclusions, the Santa Monica, Calif.-based
Managing the Flow: Predictive Analytics in Child Welfare
At the intersection of two major Los Angeles freeways sits the county’s child abuse nerve center. Scores of workers are scattered at partitioned desks on the incredibly large fifth floor of this tall, drab building.
An Upstream Approach: Using Data-Driven Home Visiting to Prevent Child Abuse
Today, Los Angeles County’s Board of Supervisors will vote on a motion to move 103 public health nurses from the Department of Children and Family Services to the Department of Public Health.
Our Inadequate Response to an Underestimated Problem
If we found out a public health crisis was three to four times greater than previously known, how quickly would Congress authorize emergency spending to combat it? I certainly hope it would not wait for the next budget debate, or make the response budget neutral.
No Risk in Trying New Approaches to Find Children Most in Danger
In my last column, I discussed the new approaches to identify and target high-risk families for special attention in child welfare. Los Angeles and Allegheny County, Penn., as well as New Zealand are working on risk assessment algorithms.
CNBC Covers Predictive Analytics in Child Abuse Prevention
Over the past 18 months, The Imprint has published at least 20 stories on the merger of big data and child protection. Other outlets, including Forbes and Bloomberg, have also covered the trend.