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crunching to make decisions automatically and to let humans make informed decisions, too. Across FIT, we have at least one dozen academics working in the greater space of "energy" (optimisation, modelling
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on cancer cell interactions within the tumour microenvironment and host systems Utilise genomic and molecular biology techniques, in vitro cell culture, ex vivo tumour fragment models, and animal models
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in an area of Gippsland classified as MM3 through to MM7 (Modified Monash Model). The MM classification of current and previous addresses can be checked by consulting the Health Workforce Locator (from
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would develop new computational methods for modelling Groupthink that can account for real-world complexity in agents’ behaviour, and build realistic enough models that can fit past and present empirical
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Evolution. Please check our publications for more details: http://garciajulian.com [1] “Empirical Agent Based Models of Cooperation in Public Goods Games | Proceedings of the Fourteenth ACM Conference
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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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Methods of balancing model complexity with goodness of fit include Akaike's information criterion (AIC), Schwarz's Bayesian information criterion (BIC), minimum description length (MDL) and minimum
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representations complicate transparency and compliance checks with data protection and privacy legislation (e.g., GDPR) whether performed by humans or computer systems. Second, both privacy-preserving distributed