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-supportresiliencegeospatial-analysisearly-warning-systemsexplainable-aisystems-thinkinghuman-centered-aitransition-riskapplied-systemsclimate-riskscenario-simulationhazard-analysisequilibrium-modelingforce-decompositionnon-stationary-systemsinstability-modelingdisaster-analyticsml-risk-modelingbuffer-collapserisk-diagnostics
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Updated
Dec 15, 2025 - Python