Computational Model Library

Zero, Some, or Zero-Sum: Exploring Trade-Offs in Identifying Human Trafficking Among Migration Flows (version 1.0.0)

The author establishes a rudimentary metric called “Permissive Score” to measure the selectiveness of simulated government immigration policies. ABMs are then used to explore the impact of a policy’s Permissive Score on the identification of human trafficking victims. Preliminary findings suggest a relatively high negative correlation (-0.77) between the permissiveness of an immigration policy and the rate at which victims were identified by governments with those policies.

Release Notes

Version Submitter First published Last modified Status
1.0.0 Kyle Ballard Sat Sep 23 04:56:35 2017 Sat Sep 23 04:56:35 2017 Published

Discussion

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