GoGreenNext is an EU funded Horizon Europe project with the ambition of supporting cities and regions to achieve their climate targets by implementing novel nature-based approaches.

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.

An initiative to co-develop synthetic infrastructure models for Phoenix, New York City and Atlanta that will simulate critical failure in energy distribution systems and potential cascading impacts on other power, water, and transportation infrastructure during extreme events to optimize solutions, and improve reliability and robustness.

A NSF supported planning effort to develop a model for coproduction of knowledge and solutions to address climate risks in cities, with special attention to environmental justice concerns.

A research study on future climate change and its potential impacts to inform decision-making by the City of New York and assessment reports by the NYC Panel on Climate Change.

An to accelerate advances in convergent urban systems science capable of providing cities with the knowledge and methods for building integrated SETS resilience strategies to extreme events, supported by cutting-edge modeling, simulation, and visualization of infrastructure systems.

The Environmental Justice of Urban Flood Risk and Green Infrastructure Solutions project aims to better understand the environmental justice impacts of climate change related flooding on minority and low-income communities and assess social equity in green infrastructure planning for reducing urban flood risks.

The Nature-based Solutions for Urban Resilience in the Anthropocene (NATURA) project links networks in Africa, Asia-Pacific, Europe, North and Latin America, and globally to enhance connectivity among the world's scholars and practitioners and improve the prospects for global urban sustainability.

The objective of this NSF RAPID project is to integrate survey, social media, building infrastructure, energy demand and use, and social-demographic data with simulations of potential emerging weather-related extremes to examine interdependent social vulnerability to COVID-19 and weather in New York City (NYC).