World Models
Exploring models that represent environmental states, learn evolving dynamics, and simulate possible futures for complex hazard processes.
Overview
Exploring representations of complex spatiotemporal environments for simulation, forecasting, and scenario understanding.
Why It Matters
Environmental systems — weather, terrain, cascading hazards — evolve through interacting processes across scales. A learned model that internalizes such dynamics could support simulation and "what-if" reasoning that purely observational approaches cannot.
Status
This is a long-term research direction rather than a completed result; concrete questions, methods, and experiments are still being formulated.