Journal on Policy & Complex Systems Volume 3, Issue 2 | Page 161

Policy and Complex Systems
Figure 5 . Sample model realization with system state changing over time . Shows model screenshots over time , with the variable t representing the tick count .
for point prediction estimates , is still useful to evaluate potential mechanistic explanations for the role of interaction dynamics between migrants and immigration policy on the potential high-level outcomes for detection of trafficking victims .
Experiment Results
We conducted a parameter sweep experiment aimed to determine the sensitivity of outcomes ( i . e ., successful detection of migrant victims ) to the initial levels of cooperation in the population .
Assumptions
We made the following assumptions for the experiments :
• Rules around accepting migrants will always reflect self-interest and domestic politics ; a victim-centered approach will be secondary to immediate interests .
• The number of migrants a country is willing to accept is bounded by a quota .
• Under an economic policy , acceptance is based on whether a migrant ’ s specific skill level matching the state ’ s stated need .
• Under a humanitarian policy , acceptance is based on migrant motive ( i . e ., fleeing or seeking ).
• Under a victim-centered approach , all victims are accepted if they are willing to cooperate .
• A victim may be granted entry based on the immigration policy , but if she does not want to “ cooperate ,” she is still counted as an undetected victim .
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