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.
This is a companion discussion topic for the original entry at https://www.comses.net/codebases/5799/releases/1.0.0/