An Agent-Based Approach to Climate Change and Migration Movement

Overview | People | Collaborators | Sponsors | Publications | Tools

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.