How feedback can impair recognition judgments and undermine border security, criminal investigations, educational testing, and medical screening. If a customs officer learns that they have missed an explosive device while screening luggage, will this affect their judgment? In many scenarios, a person receives feedback about their recognition memory performance and has to try again without having another chance to study the material. Almost no research has examined the effects of feedback on reco ....How feedback can impair recognition judgments and undermine border security, criminal investigations, educational testing, and medical screening. If a customs officer learns that they have missed an explosive device while screening luggage, will this affect their judgment? In many scenarios, a person receives feedback about their recognition memory performance and has to try again without having another chance to study the material. Almost no research has examined the effects of feedback on recognition in the absence of opportunity for further study. This is problematic because many vitally important recognition decisions lack such opportunity. Using various scenarios (face recognition, security screening, multiple-choice testing, and medical screening) this project will demonstrate that feedback affects recognition performance differently depending on the nature of the recognition decision.Read moreRead less
Aboriginal and non-Aboriginal sex-offenders in Australia: Assessing risk for practice and policy. A key priority of Australian governments is to improve community safety through reducing the risk of sex offenders re-offending after release from prison. This project will assess the validity of tools used to predict the risk of sexual offender recidivism and identify alternate risk assessment tools for Indigenous and non-Indigenous sex offenders.
Advanced matrix-analytic methods with applications. Over the last twenty-five years, matrix-analytic methods have proved to be very successful in formulating and analysing certain classes of stochastic models. Motivated by applications, this project will investigate more advanced matrix-analytic methods than have hitherto been studied.
Markov invariants and phylogenetic tree reconstruction. The project will assist Australia to progress as an innovator in the production phylogenetic tree reconstruction techniques.
Identifying species is a difficult task with environmental, social and economic benefits to Australia. DNA evidence and phylogenetic methods clearly achieve this task. Conservation of rare species depends upon identification and hence robust phylogenetic analysis. Phylogenetically identifying fish species has econom ....Markov invariants and phylogenetic tree reconstruction. The project will assist Australia to progress as an innovator in the production phylogenetic tree reconstruction techniques.
Identifying species is a difficult task with environmental, social and economic benefits to Australia. DNA evidence and phylogenetic methods clearly achieve this task. Conservation of rare species depends upon identification and hence robust phylogenetic analysis. Phylogenetically identifying fish species has economic importance as different fish species are all managed separately, having different catch limits, catch areas and market values. Using effective phylogenetic methods, epidemiologists can track the spread of a disease through a population. Read moreRead less
Modeling Healthcare Systems. An efficient healthcare system is essential for the well-being of any society. The aim of the project is to develop major advances in the mathematical modelling of healthcare systems, in order to improve efficiency, and ultimately, patient health. The first expected outcome is the development of mathematical models that constitute a high-level description of patient flow through hospitals and subacute care, so that demands for emergency and elective capacity are met ....Modeling Healthcare Systems. An efficient healthcare system is essential for the well-being of any society. The aim of the project is to develop major advances in the mathematical modelling of healthcare systems, in order to improve efficiency, and ultimately, patient health. The first expected outcome is the development of mathematical models that constitute a high-level description of patient flow through hospitals and subacute care, so that demands for emergency and elective capacity are met given limited resources. The second is the development of a bed allocation algorithm that allocates patients to appropriate wards, so as to optimise the set of performance indicators of the system under appropriate constraints, given the current ward occupancy.Read moreRead less