GeoAI for Humanitarian Assistance

2 Humanitarian assistance is essential to saving lives and alleviating the suffering of populations during crises caused by conflict, violence, and natural disasters. With the scope of humanitarian action ranging from rapid emergency relief to longer-term assistance and protection, there is an ever-increasing interest in leveraging modern technologies to assist decision-making surrounding humanitarian action. In this chapter, we discuss existing and prospective GeoAI tools to support humanitarian practices. Contents of this chapter include relevant ethical principles, actors, and data sources, in addition to methodological applications on population mapping, built environment characterization, vulnerability and risk analysis, and agent-based modeling. 2 Notice: This manuscript has been authored by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan.