Artificial Intelligence Series: Applications of Machine Learning to Mitigate Climate Change (DDN1-E03)

Overview

Delivery method

Online

Duration

1.5 hour

Audience

All public servants at all levels

Description

The impact of climate change is undeniable and the frequency and intensity of natural disasters are increasing with devastating effects on our environment. In recent years, artificial intelligence (AI) technologies have emerged as a new way to better understand issues related to climate change and develop more effective solutions to reduce its expected effects.

This event will explore how machine learning can be used to help analyze climate data, develop predictive models and identify solutions to solving the climate crisis.

Participants will learn about the latest AI trends and techniques in the context of climate change, and will gain a broader perspective of the role of AI in tackling one of the most pressing issues of our time.

This event is part of a series of new seminars presented in partnership with Mila, a Quebec-based artificial intelligence institute, designed to connect public servants to Canada’s leading AI researchers.

Learn more about the Artificial Intelligence Series

Speaker

David Rolnick, Assistant Professor and Canada CIFAR AI Chair in the School of Computer Science at McGill University

Moderator

Somaieh Nikpoor, Lead – Data Science and AI Strategy at Transport Canada