Previous Disasters Provide Important Lessons for Central America's Recovery from Hurricanes
As the global community works to assist Central America in recovering from the disastrous 2020 hurricane season, other recent recovery efforts offer helpful lessons, both for the governments of the region as well as outsiders providing resources and support.
Jan 11, 2021 The National Interest
Artificial Intelligence and Machine Learning Are Important Tools to Improve Cost Estimation for Natural Disasters in Electric Utilities
Natural disasters in the United States cause billions of dollars of damage to electric infrastructure every year. Applying artificial intelligence and machine learning in a disaster-recovery context for electrical utilities might significantly improve cost estimating capability and responsiveness.
Dec 4, 2020 Energy Central
The Downside of a Lean Electric Grid
The electric grid is central to U.S. national security. Recent disasters provide an example of the downsides of leanness. It's more costly to be less lean, but given our dependence on the electric grid and the increasing prevalence of disasters, safety and resilience may be greater priorities.
Oct 13, 2020 The Hill
Counting the Costs: Improving Disaster Recovery Cost Estimation
Estimating the cost of disasters is a complex process. Disaster recovery is complicated even further during this new era of COVID-19, when extra precautions must be taken. How can we estimate costs quickly and reliably, thus improving the flow of dollars back into the community?
Sep 30, 2020 Natural Hazards Center
