Abstract
This paper uses our previously created agent-based model to study the optimal way of allocating parent training resources to address unmet child need, a measure of child maltreatment. We consider parent training resource allocation prioritization based upon: a family’s own resources and the resources they have access to through their social network. Simulation results show that when targeting a community with a parent training intervention program, ignoring heterogeneity within a community is a mistake. This work demonstrates the utility of the developed agent-based model and suggests that child maltreatment research can benefit from a complexity science approach.
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Keller, N., Hu, X. (2013). Parent Training Resource Allocation Optimization Using an Agent-Based Model of Child Maltreatment. In: Greenberg, A.M., Kennedy, W.G., Bos, N.D. (eds) Social Computing, Behavioral-Cultural Modeling and Prediction. SBP 2013. Lecture Notes in Computer Science, vol 7812. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37210-0_2
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DOI: https://doi.org/10.1007/978-3-642-37210-0_2
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