A Google Earth Engine API (interactive dashboard) for satellite-based global climate hazard analysis (urban heat, landcover changes, etc). Project under World Bank Group. ⬇️ ⬇️

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.

A distributed hydrology-guided neural network model for streamflow prediction

An open-source platform for modeling systemic climate transition risks in financial systems. Developed by CFA Institute RPC & UK CGFI

Catia is a finacial AI system that integrates actuarial science, risk analysis, and machine learning to provide robust assessments of natural hazards such as hurricanes, floods, and wildfires, with a focus on financial impacts and mitigation strategies

Measuring climate risk with Google Trends

Workflow to create composite climate hazard risk for the Africa Adaptation Atlas

Treaty-style governance standard for planetary continuity: PCI metrics, ICT-compliant advisory rules, incentives/penalties for exported harms, and public continuity rights.

Physical climate risk financial valuation

Global Vulnerability Atlas visualizes planetary risk across climate, ecosystems, infrastructure, conflict, and social stability. A unified dashboard for comparing regional fragility, forecasting cascades, and guiding regenerative, data-driven strategies for a safer future.

Natural disaster integration for hurricane, wildfire, and earthquake exposure.

Climate Insurance Design and Performance Analysis

Open‑source cyclone impact modelling toolkit for India: hazard (IBTrACS→CLIMADA), exposure (LitPop), vulnerability, calibration, and district‑level allocation.

🌍 Monitor disaster instability and provide early warnings using advanced analytics and machine learning techniques to enhance preparedness and response.