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. This work combines computational modelling and simulation with biological experiments that are analysed using cutting-edge computer vision techniques. We collaborate closely with Macquarie University where
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that the group-level behaviour emerges from the actions of individuals, who only have limited, locally information on what is going on. Such self-organised behaviour is common in biology, it is the basis of how
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We live and work in a world of complex relationships between data, systems, knowledge, people, documents, biology, software, society, politics, commerce and so on. We can model these relationships
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on social dilemmas, i.e., situations where poor group outcomes arise from optimal individual choices. We use this framework to study: Multi-agent Systems and AI, Social Systems, and Models in Biology and
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optimal individual choices. We use this framework to study: Multi-agent Systems and AI, Social Systems, and Models in Biology and Evolution. Please check our publications for more details: http
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Microbiology in Water Engineering Scholarship The Microbiology in Water Engineering scholarship be introduced to encourage students to begin thinking about the interdisciplinary of planetary health and in particular health related water microbiology. The scholarship will support students who are...