You give a lot of good examples. I like the idea of the models working with maps and being delivered in an easily consumable way to the responder. In AI applications this idea is often lost, I know a number of radiologists who have been presented with high performing neural networks that could make their lives easier, but the companies with the NNs have not thought about how to integrate it into hospital infrastructure so the doctors can actually use it in their usual routines.
It is also cool to think of natural disasters from a preventative lens instead of reactive FEMA funds. Have there been any past studies about the effectiveness of preventative measures like this?
It definitely is structured like a legit research paper as well.
I wish the focus were a bit narrower because all kinds natural disasters seems like too much for me to understand at once. You mentioned you would focus on LA (good choice because they have a lot of people potentially affected by disasters - http://www.laweekly.com/news/la-is-a-top-10-world-city-for-natural-disasters-4557580) , which made me think fires/earthquakes might be the focus , but I didn’t really see LA mentioned again after the second section.
You give a lot of good examples. I like the idea of the models working with maps and being delivered in an easily consumable way to the responder. In AI applications this idea is often lost, I know a number of radiologists who have been presented with high performing neural networks that could make their lives easier, but the companies with the NNs have not thought about how to integrate it into hospital infrastructure so the doctors can actually use it in their usual routines.
It is also cool to think of natural disasters from a preventative lens instead of reactive FEMA funds. Have there been any past studies about the effectiveness of preventative measures like this? It definitely is structured like a legit research paper as well.
I wish the focus were a bit narrower because all kinds natural disasters seems like too much for me to understand at once. You mentioned you would focus on LA (good choice because they have a lot of people potentially affected by disasters - http://www.laweekly.com/news/la-is-a-top-10-world-city-for-natural-disasters-4557580) , which made me think fires/earthquakes might be the focus , but I didn’t really see LA mentioned again after the second section.
This is a big idea, great job!