Using Operations Research & Analytics to Increase the Effectiveness of Service Allocation to Families with Infants in Out of Home Care Due to Substance Abuse in the Texas Child Welfare System Public
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This project is an extension of a 2018-2019 academic year MQP that conducted an initial investigation improving service allocation in the United States child welfare system. Our team narrowed the scope of the project by improving service allocation to infants from urban areas of Texas who were placed into foster care as a result of parental substance abuse. Through predictive analytics, we determined the impact services and other factors had on a child’s length of stay in the system. Then using prescriptive analytics, we developed a mechanism that reallocates services to minimize a child’s length of stay in the system. Our results demonstrate an opportunity to improve service allocation by examining both a child’s case details and the environmental factors surrounding their case.
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Permanent link to this page: https://digital.wpi.edu/show/cc08hj39b