Predicting and managing migration: insights from age-structured, game-theoretic, and network models

Abstract

The proposed work is on understanding migration, resettlement and youth radicalization among immigrants. The PI who has had experience in developing mathematical models of criminal gangs and gang violence, will be developing Network Science models to characterize the network structure of new immigrants, the back-and-forth interaction between host population and immigrants, and finally the network causes for youth radicalization. The mathematical models will be validated against data available from Europe. Mathematical tools such as Mean Field theory would be used to understand the interaction between the host group and the immigrant group with the network structure of both groups being appropriately modeled. Using data about migration pattern of the immigrant population, the PI will induce assumptions about the cultural values the migrant carry into interactions with host population. The Offeror will study the resulting PDEs not only analytically but will also carry out computational studies, validating ensuing results against data available from her colleagues in Europe.

Document Details

Document Type
DoD Grant Award
Publication Date
Jan 12, 2017
Source ID
W911NF1610165

Entities

People

  • Maria-rita D Orsogna

Organizations

  • Army Contracting Command
  • California State University, Northridge
  • United States Army

Tags

Readers

  • Computational Modeling and Simulation
  • Political Violence and Terrorism Studies.
  • Research Science/Academic Research