Clearing the Path: Responding to Disasters During a Crisis

September 20, 2020

Clearing the Path: Responding to Disasters During a Crisis

When responding to natural disasters during a crisis, like the COVID-19 pandemic, emergency responders, hospitals, and supply chains are working at capacity, while the next hurricane, wildfire, or flood could be around the corner. For communities to adapt and respond to these compounding pressures, they must understand how technologies can inform risk-based decision making in areas of neighborhood health monitoring, supply chains, evacuation planning, crisis communications, and information sharing among front-line responders. Innovation in autonomous, predictive analytics, modeling and simulation, and mobility offer new solutions to tackle immediate challenges and prepare for emerging threats.


David Maurstad, Deputy Associate Administrator, FEMA
Duane Caneva, Chief Medical Officer, DHS Countering WMD Office
Ted Smith, Ph.D., Wastewater Based Epidemiology, Professor of Environmental Medicine, University of Louisville and Advisor to Louisville Mayor, Greg Fischer
Catherine Cross, Deputy Under Secretary, DHS Science and Technology Directorate (S&T)
David Corman, Program Director, Cyber-Physical Systems and Smart and Connected Communities, National Science Foundation
Richard Seline, Executive Director, Accelerate H2O, Houston, TX
Michel Leonard, Vice President and Senior Economist, Insurance Information Institute
Moderator: David Alexander, Director of Resilience Research and Partnerships, DHS S&T


Understand how new public-private partnerships are accelerating new solutions and business models to prepare for day-to-day emergencies and a national crisis.
Educate community leaders on how new science and technology applications are enhancing resilience and protecting life-line systems and networks.

Questions and Call to Action:

With increased frequency of new threats, what new tools and policies are available to incentivize collaboration among government, industry, and foundations?
Communities are investing in automated and digital technologies; why is this important and how are predictive data sets changing the way we think about risk and preparedness?