Going further and predicting damage from natural disasters
When so much is at stake, it is vital to form an accurate map of the damage so that relief and support can be provided where they are needed most. The quicker we can build this picture, the more lives we can help.
To really change the game, we cannot wait for individual homeowners to send information or wait for satellites to take images of the damage on the ground. We need to do the best we can with the best information available to us.
At Tractable, we asked the question: “Can we predict which homes will be damaged by a hurricane, and how badly, without direct visual evidence of the damage?” The motivation to predict damage goes beyond helping homeowners and communities recover from the aftermath of a disaster. It could also help avert loss of life.
Together with researchers from Georgian, our biggest investor, we formed a crack team of ten artificial intelligence (AI) researchers to try and answer this question.