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Prediction as Prevention

Episode 107: In “Prediction as Prevention” we ask the question: Can big data help us determine which children are most at risk of foster care placement? And how do we direct resources to those children to ensure they’re safe? We examine the way in which predictive modeling sheds light on the impact of implicit bias in our nation’s child welfare system. About 50% of African-American and black families in this country will experience a child welfare investigation. That’s far, far more than the data indicates we should expect to see. That’s a problem. But can an algorithm be the answer? Emily…

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