Advancing Predictive Models and Decision Support Systems for AIV control

Advancing Predictive Models and Decision Support Systems for AIV control

Join leading expert and explore the latest advances in predictive modeling, and data-driven approaches to support AIV outbreak preparedness

By PHRN and AI4Food UofG

Select date and time

Wednesday, June 18 · 7 - 8am PDT

Location

Online

Agenda

10:00 AM - 11:00 AM

Advances in predictive modeling and practical approaches

April 30th 10:00 am – 11:00 am - time zone Toronto, ON (GMT-4) Speakers: Dr. Carsten Thure Kirkeby (Senior Researcher, University of Copenhagen) & Dr. Rozita Dara (Associate Professor, University of ...

10:00 AM - 11:00 AM

Data-driven approaches to understand the spread of infection

May 15th 10:00 am – 11:00 am - time zone Toronto, ON (GMT-4) ...

10:00 AM - 11:00 AM

Modeling & Risk factor identification

May 29th 10:00 am – 11:00 am - time zone Toronto, ON (GMT-4) Speakers: Dr. Jose Gonzales Rojas (Researcher, Wageningen University) & Dr. Lene Jung Kjær (Associate professor, University of Copenhagen...

10:00 AM - 11:00 AM

Viral immunology & preparedness

June 11th 10:00 am – 11:00 am - time zone Toronto, ON (GMT-4) Speakers: Dr. Alyson Kelvin (Associate Professor, University of Calgary),

10:00 AM - 11:00 AM

HPAIV outbreak modelling & virus evolution

June 18th 10:00 am – 11:00 am - time zone Toronto, ON (GMT-4) Speaker: Dr. Anthony Signore (National Microbiology Lab)

10:00 AM - 11:00 AM

Avian Influenza at the animal and human interface

July 8th 10:00 am – 11:00 am - time zone Toronto, ON (GMT-4) Speaker: Dr. Samira Mubareka (Associate Professor)

About this event

This international webinar series aims to:

1) foster cross-disciplinary dialogue and knowledge exchange around the development and application of predictive tools and decision support systems for avian influenza prevention and control.

2) equip stakeholders—researchers, veterinarians, policymakers, and industry professionals—with practical tools and insights to improve decision-making and reduce the impact of avian influenza across the poultry sector and beyond.

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Organized by

PHRN and AI4Food UofG