Predicting how wildfires will behave is a complex endeavour, and requires sophisticated simulation models.
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Articles on Mathematical modelling
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From more accurate climate modelling to the prospect of truly creative computers, the brain’s use of noise has a lot to teach us.
As the coronavirus pandemic continues, and the colder weather approaches, new mathematical models are needed to study changing social behaviours and indoor spaces.
We wanted to find out which biological phenomena are crucial for pattern formation and which are just incidental. These sorts of questions can be answered with mathematical modelling.
Lord May was an illustrious scientist, a towering figure in the British establishment, and a quintessential Aussie. His theories help explain everything from complex ecosystems to financial markets.
Policy-makers at various levels of government rely on models and simulations to make predictions about controlling the spread of COVID-19.
An audio version of an in depth article on why mathematical modelling is crucial to understanding pandemics like the new coronavirus.
It’s based on a combination of mathematical modelling, computer simulation and historical data from other pandemics.
Currently, the number of confirmed global COVID-19 cases is doubling about every six days. At this rate, Australia’s health sector will be unable to cope.
Mathematical modelling is capable of saving lives, assisting in policy and decision-making, and optimising economic growth.
Everyone will benefit from wider HPV vaccinations.
Mathematics researchers have developed a technique for detecting autism that could eventually make a diagnostic process faster and less stressful for children and families.
Applied Epidemiological Modelling has enormous potential to improve how decisions are made about public health in African countries.
Top contributors
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Professor, Systems and Computer Engineering, Carleton University
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Senior Lecturer in Mathematical Biology, University of Bath
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Junior researcher at SACEMA, South African Centre for Epidemiological Modelling & Analysis (SACEMA)
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Director, Centre for Planetary Health and Food Security, Griffith University
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Senior lecturer, Applied Mathematics, La Trobe University
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Professor of Data Science; Director, Adelaide Data Science Centre, University of Adelaide
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M. Math Candidate, Applied Mathematics Department, University of Waterloo
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Professor of Biology, McMaster University
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PhD Candidate, University of Adelaide
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Deputy Director of the DSI-NRF Centre of Excellence in Mathematical and Statistical Sciences and Senior Lecturer in the School of Computer Science and Applied Mathematics, University of the Witwatersrand
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Royal Society Research Professor, University of Oxford
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Director: SACEMA, South African Centre for Epidemiological Modelling & Analysis (SACEMA)
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Lecturer in Applied Mathematics, University of Adelaide
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Canada 150 Research Chair in Mathematical Biology and Medicine; Professor of Applied Mathematics, Pharmacy, and Biology, University of Waterloo
