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Saving Lives Through Visual Predictive Modelling

October 14, 2021 at 11:00 AM to 12:00 PM

Location:Virtual (Zoom)
Contact Email:cuids@carleton.ca

CUIDS Distinguished Speaker Series

Saving Lives Through Visual Predictive Modelling
with Lena Yam and Jay Woo

Picture of CAA tow truck driver and truckAbstract: The core mission of CAA is to rescue stranded motorists and save lives. Protecting over 2.6 million Members, between 3,200 and 5,500 rescues are conducted each day. In order to maximize a finite set of rescue resources, CAA uses machine-learning algorithms to predict the precise location of motorist breakdowns. By knowing when and where breakdowns will occur, CAA is able to pre-position rescue vehicles at the right location at the right time to rescue the motorist. This lecture will provide an overview of the technology that CAA developed called Geo-Temporal Gen 2. It will also include a discussion of the mathematical and probability models that power the machine-learning algorithms. Accompanied by a live view into Geo-Temporal Gen 2, you will see mathematical and probability theory put into real-life action and witness the accuracy of the predictive models that are generated by Geo-Temporal Gen 2 to save lives on our nation’s roadways.

Seminar Moderator:

Dr. Tracey P. Lauriault, Associate Professor, Critical Media and Big Data, School of Journalism and Communication, Carleton University

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  • Zoom Details

    Zoom information for this session will be emailed to registrants closer to the date of this event.