This report distills decades of resilience science into nine clear, actionable Must-Knows that equip decision-makers across sectors and scales with a shared, science-based foundation to cope, adapt, and transform in the face of ongoing uncertainty.

This report examines both the promise and limits of using AI as a research method across eight key sustainability challenge areas, from interconnected climate shocks and Earth system complexity to urban resilience, freshwater security, and collective decision-making under planetary pressure.

A global assessment of research and practice that charts a path for scaling nature-based solutions (NbS) to make cities more resilient, equitable, and sustainable.

ClimateIQ is an AI driven, multi-hazard risk and vulnerability tool leveraging Machine Learning, Big Data, and multiple climate hazard model environments to reveal high resolution hotspots of overlapping climate risks in cities and urbanized regions.

The NYC Flood Vulnerability Index (FVI) assesses the distribution of vulnerability to flooding across NYC in order to guide flood resilience policies and programs. Vulnerability contains three components: exposure to a hazard, susceptibility to harm from the exposure, and capacity to recover.

The Climate Ready Uptown Plan (CRUP) is a guide and map to help Northern Manhattan community members understand their individual risk to climate related disasters