High-risk, high-uncertainty events like earthquakes tend to fall out of view when we are occupied with more predictable seasonal events like wildfires, which have very visible effects on our lives.
Nationally, 57% of the population says they’re not prepared for a flood disaster. Surveys and disasters show that those most at risk are least prepared.
The housing crisis coupled with climate change could see more people living in the kinds of shanty towns and tent cities seen around the time of the Great Depression.
When government responses to a natural disaster do not address the specific needs and vulnerabilities of women and girls, women tend to lose trust in the institutions.
Recognizing the challenges posed by climate-induced displacement is important. But officials must avoid rhetoric about displaced people that can fuel xenophobia.
Texas wasn’t prepared to keep the lights on during Winter Storm Uri, and it won’t be ready for future cold weather unless it starts thinking about energy demand as well as supply.
Twitter was blocked in Turkey for about 12 hours at the height of rescue and relief efforts in the aftermath of a massive earthquake, severely hampering a vital tool for disaster response.
The majority of flood-related deaths involve vehicles in water. What if flood models could warn of the risks street by street using real-time storm forecasts? Machine learning can make it possible.
The Kimberley region of Western Australia is currently being devastated by flooding. Remote communities need more support with prevention and recovery plans.