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

A distributed hydrology-guided neural network model for streamflow prediction

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.

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

It 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

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.

Physical climate risk financial valuation

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

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

Climate Insurance Design and Performance Analysis