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

Thursday, May 15 · 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. Egil Fischer (Associate Professor, Utrecht 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

  • Event lasts 1 hour

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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