This data is combined with information on the building’s materials and surrounding soil properties to extrapolate what happens to this system when shaking occurs. Wani teamed up with fellow Stanford students Nicole Hu, a computer scientist who focuses on machine learning, and Tim Frank, an earthquake engineer, to build an algorithm that can digest data about how a building was built and how it’s been retrofitted over time.
He decided to focus first on earthquakes, which are more of a threat than floods in California. We wanted to do it in three to five minutes.” “We didn’t have seven days or seven years. “We had to recreate that for the entire city” for the idea to work, Wani says. But he had a problem: analyzing a single building using traditional structural engineering software took seven days on Stanford’s supercomputer. The idea was that if city officials could anticipate which areas would be most harmed, they would be able to deploy resources faster and more efficiently throughout the disaster zone.
He began contemplating how to predict a disaster’s damage. From earthquakes to floodsĪfter surviving the devastating flood in Kashmir, Wani returned to Stanford, where he was studying structural engineering. Artificial intelligence, such as the platform One Concern has developed, offers a tantalizing solution. As climate change heralds more devastating natural disasters, cities will need to rethink how they plan for and respond to disasters. Since 2000, more than 1 million people have perished from these extreme weather events. In 2017 alone, these disasters cost the country $306 billion. has suffered from 219 climate disasters that cost over $1 billion, with the total cost exceeding $1.5 trillion. It’s the latest in a wave of AI-powered tools aimed at helping cities prepare for an era of severe, and increasingly frequent, disasters. The maps update in real-time based on data about where water is flowing to estimate where people need help the most. Today, Wani’s startup One Concern is launching a machine learning platform that provides cities with specialized maps to help emergency crews decide where to focus their efforts in a flood. “There is no science behind how people should be rescued,” he says.
After this horrifying experience, Wani was struck by just how disorganized the emergency response was.
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