Critical systems worldwide can cause cascading impacts that profoundly affect populations. In Synthetic Environments, we can introduce a disruption or trigger an event, play forward the scenarios, and calculate interconnected impacts.
RWI brings people to resilience design, including their lives and livelihoods, activities, choices, access barriers, economics, and resilience through the creation of a hyper-localized synthetic population that reacts and responds to new resilience innovations modelled in each city.
The future is novel and we need new toolsets to explore this reality and data-supported decisions. Our models create the missing data for advancing decision support without surveillance or costly and time-consuming pilot programs.
The world’s critical systems are interconnected, and connected systems of systems can cause lasting impacts on people. Reliability and resilience have never been more important than now when we make critical energy systems transitions to meet global climate goals and demand needs. And, as physical threats to energy grids increase, connecting measures to ensure grid readiness, energy security, and resilience in the face of disasters becomes critical.
With the implementation of RWI’s Synthetic Modelling for resilience, various scenarios are introduced, human impacts and emerging behaviours are quantified, and risks are calculated dynamically over time and space. In addition, hyper-localized scenarios are evaluated as we model new concepts that go beyond grid management and address resilience and sustainability goals going into the future.
Model implementations and scenarios include, but are not limited to:
