Webinars & Events
ABNMS is excited to announce its upcoming series of webinars!
You can find further details on each of our upcoming and recent webinars below. Please note: recordings of webinars will be made available on YouTube after the sessions.
The CoRiCal risk-benefit calculator (https://corical.immunisationcoalition.org.au/) has proven a popular tool for helping people making informed decisions about COVID-19 vaccinations. But did you know that it's hiding a Bayesian Network behind those charts? Our April ABNMS webinar will introduce you to the team behind CoRiCal and explain what it takes to use a Bayesian Network to turn journal articles and Government reports into a useful online decision support tool. We'll discuss the whole process, from model design and validation and finding the data, all the way up to risk communication and the logistics of getting it online.
While some projects are lucky enough to have a large dataset to work from, in many cases the reason a problem exists in the first place is because data is spread over different sources, in different formats, or exists only as expert knowledge. Bayesian networks (BNs) are your friend no matter which category you fall into.
In this webinar, Dr Helen Mayfield will go through some examples from Epidemiology in Fiji, policy design for the Great Barrier Reef, and making an informed choice on the COVID-19 Astra Zeneca vaccine to show how BNs can be used in decision support regardless of whether you have all the data, none of the data, or something in between.
This session will be delivered by Bruce G. Marcot, PhD, and will cover:
- The nuances and the tangled knots of what constitutes probability.
- When probability can, and cannot, be derived from frequency data.
- All Bayesian probability is conditional.
- Is probability absolute?
- Is probability real?
- A multiverse dive into the world of quantum Bayesian models -- question all you think you know!
If you want to be added to or opt out of our mailing list, please email us at firstname.lastname@example.org.
Find out more about Bruce's research here!
This session is aimed at a general audience, and no previous experience in modelling or statistics is necessary. We will give you a high level introduction to Bayesian networks (BNs), answering questions such as:
- Why should I be interested to find out about BN modelling?
- What is a BN anyway?
- When is this a suitable modelling approach?
The "how" will not be covered in this session, but if you are interested in learning more, look out for the follow up webinar sessions.