Artificial intelligence applied in disaster management must be reliable, accurate, and, above all, transparent. But what does transparency in AI mean, why do we need it, and how is it achieved?
disaster management
Samantha Montano: Helping Communities Recover
A disasterologist has a passion for making emergency management systems more just and equitable.
When Fieldwork Comes Home
The impacts of the 2021 Marshall Fire rippled through a community of Colorado geoscientists, spurring them to action.
Barrier Islands Are at the Forefront of Climate Change Adaptation
Coastal evolution modeling sheds light on the impacts of coastal development and adaptation decisions on barrier islands in the era of sea-level rise.
Forecasters Expect Slow Start to U.S. Wildfire Season
A wet spring in the United States will dampen early fires, but some regions will see elevated risk this summer.
Ocean Pollution Makes Microbes Adapt
Some bacteria thrive in the sometimes-toxic soup of crude oil and chemical dispersants.
El despertar del Popocatépetl: Transformando la vulcanología en México
La erupción del “Don Goyo” de 1994 en México central aceleró el interés académico en la vulcanología.
Popocatépetl’s Wake-Up Call: Transforming Volcanology in Mexico
The 1994 eruption of “Don Goyo” in central Mexico accelerated an academic interest in volcanology.
Machine Learning Highlights Ways to Improve Flood Mitigation
New research shows that home flood insurance coverage is often a reactive purchase in response to flooding, while top-down policies that focus on community resilience may offer more robust protection.
The 12 November 2014 mine waste landslide at Dagushan in Anshan, China
The Landslide Blog is written by Dave Petley, who is widely recognized as a world leader in the study and management of landslides. On 12 November 2014, an 8.45 million cubic metre landslide occurred in a mine waste pile at the Dagushan open-pit iron mine in Anshan, China. The failure occurred in a a huge […]