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Data science to help battle fires

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Researchers are building tools so officials can use data to learn how to rebuild communities devastated by natural disasters. Artificial intelligence lets computers predict and find insights from that data. By analyzing historical disaster information, publicly available census data and predictive models of risk and resilience, tools will be able to identify and prioritize key decisions, like what kinds of infrastructure investments to make. https://patch.com/california/across-ca/data-science-could-help-californians-battle-future-wildfires


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fraser @ 2019.11.22 1:48 PM

I am a natural-born Innovator, Administrator and Analyst and use open source thinking to help influence change on not what the system does but how it does it. The innovation most would now recognize is Blockchain technology. It was created in 1995 in Ottawa Canada to deal with issues coming out of the 1989 economic downturn.
Data is important, rebuilding after a fire or a flood takes time and if you are smart you don't repeat the same mistakes and use innovation and collaboration to address two things that come out of both fire and floods. Mother nature use them as a renewal process.
So each rebuild should be evaluated on:

1 should you actually be allowed to rebuild,

2. if you are allowed to rebuild what can innovation do to protect the property, not cost a fortune and not have an environmental impact? 

I have been working with young Canadian innovators who have good ideas in all these areas.  You may wish to contact  Ron at cirilab.com. He has a search engine that would help. 



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