European Conference on Mathematical and Theoretical Biology (ECMTB 2026)

MS159-1:Agent-based models, networks and machine-learning models as tools for pandemic preparedness

MS159-01

15 Jul 2026, 11:10

20m

15.02 - HS (University of Graz)

Minisymposium Talk Mathematical Epidemiology Agent-based models, networks and machine-learning methods for epidemiological modelling

Speaker

Jasmina Panovska-Griffiths (Pandemic Sciences Institute, University of Oxford, Oxford, UK)

Description

In the introductory talk of this mini-symposium, Jasmina Panovska-Griffiths from University of Oxford, will discuss how ABMs can be combined with digital technology, such as machine-learning methods and large-language models, to better understand transmission of both respiratory and sexually-transmitted diseases, and as tools for pandemic preparedness. As well as introducing the minisymposium, Jasmina will discuss recent work by her team to integrate digital technology to generate realistic networks for ABMs as well as challenges in calibration of ABMs, noting her team's recently developed machine-learning and data-drive methods for more efficient and more robust calibration of these models.