An Agent-Based Approach to Climate Change and Migration Movement
Student Visitor Jun Jie Larry Lin, PhD Student, Singapore Management University
How are the populations of the world likely to shift? What which countries will be impacted by sea-level rise? This paper uses a country-level agent-based dynamic network model to examine how the shifts in population given an ecology of network relations among countries influences overall population change. Networks considered include: alliance networks, shared language networks, economic influence networks, and proximity networks. Scenarios examined include: rise in sea-level, change in child-birth and migration policies, and economic changes. The proposed framework provides a way to begin to explore the interaction between climate change and policy factors at a global level.