How to integrate AI-powered tools in mitigating climate disasters in northern regions?

Presentation at the IVADO event “Zooming in on Multidisciplinary AI” held on April 21, 2022. Presented by Pooneh Maghoul, Polytechnique Montreal.

The adverse effects of climate warming on the built environment in (sub)arctic regions are unprecedented and accelerating. According to Canada’s Changing Climate Report (2019), in the Arctic regions, temperatures have been warming at approximately twice the rate of the rest of the world. This drastic trend in climate warming will no doubt affect permafrost temperatures and conditions, continued rise in greenhouse gas emissions, and further adding to the high cost of development in northern regions. Planning and design of climate-resilient northern infrastructure as well as predicting deterioration of permafrost from climate model simulations require characterizing permafrost sites accurately and efficiently. In this presentation, Dr. Maghoul will discuss the role of AI in early detection and warning systems of permafrost sites and northern infrastructure affected by climate change. Furthermore, the limitations of data-driven approaches in climate change adaptation strategies due to the scarcity of reliable data will be also discussed.

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