An early-warning system that models disasters as instability transitions rather than isolated events. It combines force-based instability modeling with an interpretable ML escalation-risk layer to detect when hazards become disasters due to exposure growth, response delays, and buffer collapse.
decision-support resilience geospatial-analysis early-warning-systems explainable-ai systems-thinking human-centered-ai transition-risk applied-systems climate-risk scenario-simulation hazard-analysis equilibrium-modeling force-decomposition non-stationary-systems instability-modeling disaster-analytics ml-risk-modeling buffer-collapse risk-diagnostics
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Updated
Nov 12, 2026 - Python