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Research at ACEMS Overview

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.

Theme Reports

Theme 1

Challenging Data

Developing techniques to understand modern data

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Theme 2

Multiscale models

Understanding fundamental mathematical and statistical structures

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Theme 3

Enabling Algorithms

"Now that we have the data, what do we do with it?"

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Theme 4

Informed Decisions

Learning about real-world systems to make the best decision

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The numbers

journal articles

ACEMS co-authored papers

citations

books and book chapters

students recruited

students completed