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Tech Update: To predict future wildfires, digital models must focus on ‘the unimaginable’

Plus, EV battery plant workers unionize and Canadian pension funds double down on AI.

Updated
3 min read
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As wildfires raged in northern Ontario this month, theÌýeffectsÌýwere felt throughout the province, including in ÎÚÑ»´«Ã½.


As wildfires raged in northern Ontario earlier this month, the were felt throughout the province. Those in areas close to the blazes ; as far south as Chatham, residents were advised to unnecessary outdoor activities. In ÎÚÑ»´«Ã½, besieged by a brutal heat wave, the trapped pollutants in the densely packed city, resulting in the dubious honour of being named one of the cities with the worst air quality in the world.

Although authorities have become accustomed to taking action during wildfire season, the increasing intensity, duration and scope of fires mean that their impact is felt in areas that used to be impervious to forest fire fallout, and pre-existing protocols no longer suffice. While organizations and various levels of government conduct drills to help manage emergency situations, there are limits to how effective real-life practice can be if one is facing a previously unheard-of scenario. “That’s where computer modelling comes in,†says Myrna Bittner, the CEO and co-founder of help municipalities and other groups visualize how a particular crisis might play out depending on different variables.

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