24 min listen
Modelling the spread of coronavirus in the lungs
Modelling the spread of coronavirus in the lungs
ratings:
Length:
27 minutes
Released:
Dec 12, 2022
Format:
Podcast episode
Description
How do you model a complex system? Traditionally we would observe how the system is behaving and create equations to mimic this behaviour, but this doesn't work for complex systems. This is because the interactions between agents in a complex system can significantly impact the system's overall behaviour.
In today's episode, Melanie Moses, Professor of Computer Science at the University of New Mexico, will answer this question. She'll introduce us to agent-based models, which are very different to how we traditionally model systems. More specifically, Melanie will explain how she used agent-based models to understand the spread of coronavirus in the lungs.
Connect:
Simplifying Complexity on Twitter
Sean Brady on Twitter
Sean Brady on LinkedIn
Brady Heywood website
This show is produced in collaboration with Wavelength Creative. Visit wavelengthcreative.com for more information.
In today's episode, Melanie Moses, Professor of Computer Science at the University of New Mexico, will answer this question. She'll introduce us to agent-based models, which are very different to how we traditionally model systems. More specifically, Melanie will explain how she used agent-based models to understand the spread of coronavirus in the lungs.
Connect:
Simplifying Complexity on Twitter
Sean Brady on Twitter
Sean Brady on LinkedIn
Brady Heywood website
This show is produced in collaboration with Wavelength Creative. Visit wavelengthcreative.com for more information.
Released:
Dec 12, 2022
Format:
Podcast episode
Titles in the series (40)
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