Article title: Understanding Climate-Induced Migration Through Computational Modeling: A Critical Overview with Guidance for Future Efforts
Climate change has the potential to displace large populations in many parts of the developed and developing world. Understanding why, how, and when environmental migrants decide to move is critical to successful strategic planning within organizations tasked with helping the affected groups, and mitigating their systemic impacts.
The crossroads of climate change and migration research is currently a matrix of ideas, approaches, and goals. There is currently no clear-cut, cure-all solution or design that can be followed in order to obtain the most informative outcomes. This paper focuses on what research is happening at the intersection of climate change and migration in the broader context of modeling and simulation. Migration is only one possible response to a changing climate. This topic not only has high research significance, but is also of high policy significance as models are being increasingly used to inform policy decisions. This is a very current, exciting, and impactful research area. The authors have no doubt that in time the challenges presented in this paper will be overcome. Open interaction and engagement, at every possible level of involvement, is vital to success. This is a shift in research process and a change that needs to happen now.
Climate change has the potential to displace large populations in many parts of the developed and developing world. Understanding why, how, and when environmental migrants decide to move is critical to successful strategic planning within organizations tasked with helping the affected groups, and mitigating their systemic impacts. One way to support planning is through the employment of computational modeling techniques. Models can provide a window into possible futures, allowing planners and decision makers to test different scenarios in order to understand what might happen. While modeling is a powerful tool, it presents both opportunities and challenges. This paper builds a foundation for the broader community of model consumers and developers by: providing an overview of pertinent climate-induced migration research, describing some different types of models and how to select the most relevant one(s), highlighting three perspectives on obtaining data to use in said model(s), and the consequences associated with each. It concludes with two case studies based on recent research that illustrate what can happen when ambitious modeling efforts are undertaken without sufficient planning, oversight, and interdisciplinary collaboration. We hope that the broader community can learn from our experiences and apply this knowledge to their own modeling research efforts.
Understanding climate-induced migration through computational modeling: A critical overview with guidance for future efforts
Charlotte Till, Jamie Haverkamp, Devin White, and Budhendra Bhaduri
Journal of Defense Modeling and Simulation: Applications, Methodology, Technology