Where does computational modeling of climate-induced migration stand and what challenges still need to be overcome

Climate change has the potential to displace large populations in many parts of the developed and developing world. Understanding why, how, and when migrants decide to move is critical to successful planning within national and international organizations. Computational modeling techniques are one way to explore planning options and investigate consequences in simulated digital environments. While modeling is a powerful tool, it presents both opportunities and challenges both for model consumers, and the teams who create them. This poster seeks to lay a foundation for both groups. It does so by providing an overview of pertinent climate-induced migration research, describing different types of models, how to select the most relevant one(s) for your problem, highlighting three different perspectives on how to obtain data to use in said model(s). Finally two attempted projects will illustrate the challenges of this work and how they can be overcome.