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

OpenSustainabilityAnalyst ReportAnalyst is an open-source / open-core framework for customizable research-driven end-to-end sustainability report analysis with AI

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

CATIA is a catastrophe AI system that integrates advanced artificial intelligence, 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.

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

Asset-level wildfire exposure intelligence for Mediterranean WUI — structural + event-context risk scoring, 4-event LOEO validation, LightGBM + SHAP

This collection of examples analyzes, models, and forecasts the volatility associated with a collection of soft commodities.

Physical climate risk financial valuation

Measuring climate risk with Google Trends

Climate physical-risk analysis, hands-on. Jupyter notebooks for the Alpha-Klima platform API - hazard screening, asset-level impact, real-estate portfolios, and bank Pillar 3 / ECB pipelines.

Open-source GHG emissions calculator covering Scope 1, 2 & 3 — GHG Protocol aligned, BRSR Principle 6 ready, with Net Zero scenario modelling. Built for Indian companies.

CCART is a country-agnostic physical climate risk framework. India is the reference implementation. The architecture is designed so that any country can be added by providing local boundary files and climate data

Spark-based Azure data platform integrating Canadian climate, wildfire, hydrometric, building-permit, and disaster-event data into municipal climate-exposure marts and public Power BI dashboards.

EN: How coastal erosion risk discounts UK property prices — ML analysis (Random Forest & XGBoost) on 1.7M transactions with spatial risk data. | 中文：海岸侵蚀风险如何折价英国房产——基于170万条交易与空间风险数据的机器学习分析。

A Python-based ESG disclosure intelligence tool that uses PDF extraction, rule-based NLP, and regex parsing to identify climate risk, emissions metrics, governance disclosures, and traceable evidence from sustainability reports.

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.

Mapping long-term groundwater trends across France (2005–2025) using hydrogeological aggregation.

A real-time AI disaster risk prediction platform that analyzes weather, soil, elevation, and seismic data to forecast Heatwaves, Floods, and Landslides using ML models and FastAPI backend.