Hamovitch PI
Winter 2015
A research publication of the Hamovitch Center for Science in the Human Services at the USC School of Social Work
Can big data help keep children safe? USC researchers are exploring the potential of predictive risk modeling in child welfare and well-being. A call comes in to the child welfare hotline. The caller reports that a child is being maltreated. The operator has to make a decision. Are the allegations serious enough to open an investigation? Is the child in immediate danger? What services does this family need? “Child welfare workers are often dealing with a very partial, imperfect picture of conditions that may place a child at risk of harm,” said Emily Putnam-Hornstein, an assistant professor at the USC School of Social Work. “Yet critical decisions must be made about which referrals are screened in or out and whether a case is opened for services.” What if in that moment, the hotline operator had access to a model that could scan the vast landscape of data available about that particular family, weighing risk factors such as previous involvement with child protective services and a history of substance abuse while taking into account strengths such as educational achievement and access to supportive resources? Would that information help the operator decide how to proceed? Risk | continued on page 10
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