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.
Congress Weighs Pilot Program for Predictive Analytics Use in Child Welfare
A new bill introduced by Senator Todd Young (R-Ind.) last month would establish a pilot program to test the use of predictive analytics in identifying and protecting children who are at risk of maltreatment.
Risky Business: A Child’s Death in L.A. Elicits More Questions than Answers
Los Angeles County, home to the nation’s largest locally-run child welfare system, is grappling with how to measure and respond to the risk that a child will be abused. At the heart of this confounding, complicated issue are two hard-to-answer questions.
Break Down Your Data Barriers
In the helping professions, few words elicit as strong and varied a reaction as “data.” Having strong outcome data to support your organization’s claims is essential, and there is immense value in using high quality information to guide your decision-making.
Is this ‘Minority Report’ or is it the Future of Child Welfare?
Predictive analytics, mathematical equations that forecast where events will likely occur, and the use of data within governmental agencies such as the Texas Department of Family and Protective Services (DFPS) are seen by many as a way to proactively penalize people before they ever do anything wrong.
‘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.
Putting Lipstick on the Predictive Analytics Pig
Chronicle Senior Editor John Kelly argues that not only I, but also The New York Times, Forbes columnist John Carpenter, Republican strategist Mike Murphy and others are wrong to suggest that the presidential election revealed the emperor known as “predictive analytics” to be, at best, scantily clad if not stark naked.
Big Data Loses. Bigly.
I will leave it to others to try to guess what the election of Donald Trump means for child welfare policy, aside from pointing out that in addition to all the other reasons to worry, as far as I know the only one of his close advisers who’s ever thought about the topic – Newt Gingrich – has suggested throwing poor people’s children into orphanages.
Big Data is Watching You: If Predictive Analytics Still Doesn’t Creep You Out, Watch This Ad
The debate over predictive analytics in child welfare will continue right after this important message: So, what do we have here? A bunch of data analysts, presumably working for a firm that sells sporting goods, are spying on a woman’s recreational habits.