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

News Room
By News Room 8 Min Read

As wildfires raged in northern Ontario earlier this month, the effects were felt throughout the province. Those in areas close to the blazes were evacuated; as far south as Chatham, residents were advised to avoid unnecessary outdoor activities. In Toronto, besieged by a brutal heat wave, the urban heat island effect 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 RunWithIt Synthetics, which has developed an AI-driven platform (she describes it as Google Earth meets Sim City) that can help municipalities and other groups visualize how a particular crisis might play out depending on different variables.

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