SISYPHUS is developing an interactive web-based decision support tool platform to AI calculates the hazard risk data of individual property and its optimal mitigation method from a GIS database model structured within a climate justice and equity framework. A leading-edge XR user experience utilizing risk data visualization theory within an emergency management doctrine will communicate the needed information in an understandable manner to help governmental, professional, and community stakeholders make better informed decisions for self-determination.
Beginning with Katrina to Ida, the National Flood Insurance Program has struggled with financial insolvency. The growing frequency of larger storms in the time of climate change, environmental degradation, and rising sea levels have only exacerbated this issue. Furthermore, hurricanes and floods have disproportionate impacts on the most socially, economically, and geographically vulnerable population, which experience the majority of the disaster burdens and minimum mitigation benefits (i.e., climate injustice and inequity).
We are leveraging emerging tech (e.g., XR, AI, GIS) to confront climate change. Our inductive methodology and code to understand the underlying social, economic, political, infrastructure and geographical disparities will help us tailor the user journey for effective resilience planning. Without these direct paradigm shifts and technical interventions, the continued climate crisis will be most felt on the national scale by Indigenous, Brown, Black and low-income Americans; and internationally, by the most vulnerable population in the global south.