Disaster Response and Mitigation in an AI World

PNNL researchers are expanding PNNL’s operational Rapid Analytics for Disaster Response (RADR) image analytics and modeling suite to predict the path of fires, floods and other natural disasters, giving first responders an upper hand. The suite utilizes a combination of image-capturing technology (satellite, airborne, and drone images), artificial intelligence, and cloud computing, to not only assess damage but predict it as well.

Rensselaer Experts Available To Provide Perspective on Hurricane Season

With hurricane season already underway and projected to be active, communities throughout the U.S. are trying to balance disaster preparation amid an unprecedented public health crisis. While significant attention is rightly being given to COVID-19, leaders – especially those in communities along the coast – must plan for the possibility of dual disasters.
Researchers at Rensselaer Polytechnic Institute have extensive experience studying and responding to natural disasters and are available during this hurricane season to share their research and perspectives.

Researchers Create New Tools for Disaster Response Volunteers

In the wake of a disaster, many people want to help. Researchers from North Carolina State University and the University of Alabama have developed tools to help emergency response and relief managers coordinate volunteer efforts in order to do the most good.