EVENT: One Health Computational Network

Thursday 24th April 2023, 09:30-17:30
Sir Charles Wilson Building, University of Glasgow

The One Health Computational Network (OHCN) was established to bring together experts working on preparedness research to better predict, detect, understand and prevent emerging viral diseases. Advances in computational methods, in particular artificial intelligence, are providing significant opportunities to enhance our view of the emerging infectious diseases that pose a significant threat to the health and wellbeing of the UK population. At this meeting representatives of OHCN and other invited participants will present their research on different computational aspects of preparedness research. Our collective aim is to facilitate the interdisciplinary use of computational science for public health, veterinary science and agricultural resilience.

Event costs:
Nominal delegate – £50
Student delegate – £25


Agenda

09.30 – 10.30Surveillance and Ecology: A One Health Perspective
Simon Frost
Daniel Streicker
ECR (submission) x 2
10.30 – 11.00Break
11.00 – 12.00Ecology, prediction and risk modelling
Bethan Purse
Nick Loman
ECR (submission) x 2
12.00 – 13.00Lunch
13.00 – 14.00Genome epidemiology and modelling
Daniela De Angelis
Aine O’Toole
ECR (submission) x 2
14.00 – 15.00AI’s potential: viruses & AI
Naomi Forrester-Soto
Liam Brierly
ECR (submission) x 2
15.00 – 15.30Break
15.30 – 16.30Taking action: Public Health and Clinical Perspectives
Emma Thomson
Matt Holden (not confirmed)
ECR (submission) x 2
16.30 – 17.15.Facilitated Q&A
17.15 – 17.30Posters prize / close.
17.30 – 19:00Reception (unconfirmed)

Submit your research

We are inviting Early Career Researchers to present their research at this event. Additionally, we will display a collection of academic posters. Please submit your research via the link to be considered for this display.


Accommodation in Glasgow

There is a variety of great accommodation options in the West End of Glasgow. Here is a list of hotels that we recommend.

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