Ep 027: A Hierarchical Decision Model to Evaluate U.S. Immigration Policies

This episode of Immigration Uncovered features a discussion with Dr. Angel Contreras Cruz, a recent PhD graduate from Portland State University. Dr. Cruz presents his research on developing a hierarchical decision model to evaluate US immigration policies towards high-skilled technology professionals. The discussion covers the impact of current policies, Dr. Cruz's model, and recommendations for improving policies to meet economic and talent needs better.

Key Discussion Points

• Issues with visa caps for high-skilled tech workers not matching application demand
• Importance of social/community support for attracting and retaining immigrant talent
• Using multi-criteria decision models to guide immigration policy analysis
• Suggestions for more inclusive visa policies and collaboration between companies and universities