Agent-based models (ABMs) are a promising approach to modelling and reasoning about
complex systems, yet their application in practice is impeded by their complexity, discrete …

Mechanistic simulators are an indispensable tool for epidemiology to explore the behavior of
complex, dynamic infections under varying conditions and navigate uncertain environments …

Agent-based modelling (ABMing) is a powerful and intuitive approach to modelling complex
systems; however, the intractability of ABMs' likelihood functions and the non-differentiability …

Well parameterized epidemiological models including accurate representation of contacts
are fundamental to controlling epidemics. However, age-stratified contacts are typically …

With the growing complexity of land surface models used to represent the terrestrial part of
wider Earth system models, the need for sophisticated and robust parameter optimisation …

Agent-based models (ABMs) are a promising tool to simulate complex environments. Their
rapid adoption requires scalable specification, efficient data-driven calibration, and …

Modelling complex real-world situations such as infectious diseases, geological
phenomena, and biological processes can present a dilemma: the computer model (referred …

We report on an ongoing collaboration between epidemiological modellers and
visualization researchers by documenting and reflecting upon knowledge constructs—a …

Contact matrices are an important ingredient in age-structured epidemic models to inform
the simulated spread of the disease between subgroups of the population. These matrices …

Background The COVID-19 pandemic underlined the need for pandemic planning but also
brought into focus the use of mathematical modelling to support public health decisions. The …