ACEMS is performing world-class mathematical and statistical research that addresses current and future societal needs through collaboration between the various disciplines working in the fields of applied and theoretical mathematics, statistics, mathematical physics and machine learning.
By creating a cohesive forum for collaboration and knowledge transfer across these disciplines, and fostering a new generation of researchers working beyond traditional discipline barriers, ACEMS is leading the discovery of new ideas and finding new avenues for collaboration that would not have occurred without the Centre.
The Centre's four research themes of Challenging Data, Multiscale Models, Enabling Algorithms and Informed Decisions are strongly intertwined feeding into the three collaborative domains of Healthy People, Sustainable Environments and Prosperous Societies. Each of the four research themes conducts research ranging from theory to methodology and translation, to acknowledging both long-term and short-term outputs, for real and effective outcomes and impact.
Journal articles
ACEMS co-authored papers
Citations
Postdoctoral researchers recruited
Students recruited
Students completed
National and international visitors
Visits by 39 Centre members to 57 different overseas institutions in 20 countries for research collaborations
Visits to 30 countries by 69 Centre Members, for research collaborations as well as conferences, seminars and courses
Theme 1
Developing techniques to understand modern data
Read storyTheme 2
Understanding fundamental mathematical and statistical structures
Read storyTheme 3
"Now that we have the data, what do we do with it?"
Read storyTheme 4
Learning about real-world systems to make the best decision
Read story