ClimateIQ

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 tool will especially serve agencies, institutions, cities and town planners, and low-income, minority, immigrant and informal communities looking for local climate risk data to prioritize interventions, create resilience adaptation plans, and to plan and prepare for emergency response to coastal flooding, extreme rainfall, drought, air quality, and heatwaves.

ClimateIQ will enable communities to improve risk planning, management and protection through an open access and intuitive digital dashboard to allow cities and communities to understand current, near term and future risk exposure, and to advance effective risk reduction, adaptation, and emergency management.

The ClimateIQ team brings extensive experience in climate risk modeling, AI applications, data analysis and visualization, as well as working with diverse stakeholders in cities. Led by Dr. Timon McPhearson, Director of the Urban Systems Lab (USL) at the New School in New York City, the core team includes faculty and researchers at The New School, along with partners at Climasens, Stockholm Resilience Centre (SRC), Beijer Institute of Ecological Economics, Cary Institute of Ecosystem Studies and George Mason University. Support provided in part by Google.org Impact Challenge on Climate Innovation.