Modulation of air-conditioning settings to destroy respiratory viruses. This project aims to prove that manipulating the ambient humidity can rapidly degrade airborne viruses. The relationship between ambient humidity and airborne infection is poorly understood for viral pathogens including influenza and the common cold. The project will prove that indoor environmental conditions can be easily manipulated to kill airborne viruses. The findings will be used to develop indoor air humidity control ....Modulation of air-conditioning settings to destroy respiratory viruses. This project aims to prove that manipulating the ambient humidity can rapidly degrade airborne viruses. The relationship between ambient humidity and airborne infection is poorly understood for viral pathogens including influenza and the common cold. The project will prove that indoor environmental conditions can be easily manipulated to kill airborne viruses. The findings will be used to develop indoor air humidity control guidelines targeting the vulnerabilities of the viruses to minimise airborne infection.Read moreRead less
Microeconomic effects of Australian natural disasters. This project aims to describe and identify the effects of Australian natural disasters – such as the Black Saturday bushfires and the Brisbane floods – on important microeconomic outcomes, including health, education and employment. Natural disasters have profound economic and social effects on individuals and communities. This project intends to bring evidence on how disasters affect individuals and how the effects can be lessened. The proj ....Microeconomic effects of Australian natural disasters. This project aims to describe and identify the effects of Australian natural disasters – such as the Black Saturday bushfires and the Brisbane floods – on important microeconomic outcomes, including health, education and employment. Natural disasters have profound economic and social effects on individuals and communities. This project intends to bring evidence on how disasters affect individuals and how the effects can be lessened. The project expects to inform policy-makers on these critical issues by analysing field, survey and administrative data on individuals before and after past disasters.Read moreRead less
Do insect-specific flaviviruses regulate the transmission of mosquito-borne diseases in Australia? Mosquito-borne viral diseases such as dengue occur in Australia. The research team recently discovered related viruses in mosquitoes from Darwin that do not infect humans, but may inhibit the spread of viral diseases by mosquitoes. This project will investigate the life cycles of these new viruses to understand how they affect the spread of viral diseases by mosquitoes.
Revealing the evolutionary and ecological dynamics of avian influenza virus. This project aims to understand how avian influenza virus (AIV) emerges, evolves and spreads in wild birds. AIV has the potential to devastate the poultry industry and cause human pandemics, but the factors that shape the genetic diversity of AIV in its wild bird reservoir are poorly understood. The project plans to combine genomic, ecological and phylogenetic approaches to reveal key aspects of AIV evolution, as well a ....Revealing the evolutionary and ecological dynamics of avian influenza virus. This project aims to understand how avian influenza virus (AIV) emerges, evolves and spreads in wild birds. AIV has the potential to devastate the poultry industry and cause human pandemics, but the factors that shape the genetic diversity of AIV in its wild bird reservoir are poorly understood. The project plans to combine genomic, ecological and phylogenetic approaches to reveal key aspects of AIV evolution, as well as the risk for future viral emergence. Using sampling sites in Australia and Antarctica, it plans to investigate AIV diversity, the evolutionary dynamics of AIV in wild birds and poultry, and the role played by environmental transmission in AIV ecology.Read moreRead less
Understanding mutation and genetic reassortment in viruses: new mathematical models of viral dynamics and evolution. This project aims to understand how evolutionary processes and ecological conditions combine to ignite and sustain viral epidemics. Using novel mathematical models and statistical methods we will study the manner in which viral genes mutate and are recombined, as well as the rates of these important forces.
Nanosilver antimicrobial resistance in target pathogens. This project aims to elucidate the important phenomena of bacterial resistance to antimicrobial nanosilver, currently one of the most developed and commercialised products of nanotechnology. The integrated research approach comprises of concurrent identification of the origins and routes of nanosilver toxicity in bacteria and the arising emergence and mechanisms of bacterial defence to the toxicity. The generated knowledge is to form a bas ....Nanosilver antimicrobial resistance in target pathogens. This project aims to elucidate the important phenomena of bacterial resistance to antimicrobial nanosilver, currently one of the most developed and commercialised products of nanotechnology. The integrated research approach comprises of concurrent identification of the origins and routes of nanosilver toxicity in bacteria and the arising emergence and mechanisms of bacterial defence to the toxicity. The generated knowledge is to form a base template for novel nanosilver engineering with less tendency for resistance development and to facilitate tracking of resistance and its spread amongst microorganisms. The knowledge has far-reaching implications on the better governance of nanosilver use, including its disposal.Read moreRead less
How we remember and misremember traumatic experiences. The project addresses a significant and important problem: the role of memory distortion in Post Traumatic Stress Disorder (PTSD), a global disorder with significant personal, societal and economic costs. The aim of this project is to empirically investigate the extent, causes and triggering conditions of errors in memory for traumatic experiences; particularly exaggeration of these memories, which has been linked to poor psychological adjus ....How we remember and misremember traumatic experiences. The project addresses a significant and important problem: the role of memory distortion in Post Traumatic Stress Disorder (PTSD), a global disorder with significant personal, societal and economic costs. The aim of this project is to empirically investigate the extent, causes and triggering conditions of errors in memory for traumatic experiences; particularly exaggeration of these memories, which has been linked to poor psychological adjustment. Understanding how people exposed to trauma remember, and misremember, aspects of their experiences in ways that influence their recovery is both theoretically and practically important. Indeed, it will help us refine theory and identify possible points of intervention for PTSD sufferers.Read moreRead less
Reducing flood loss - A data-assimilation framework for improving forecasting capability in sparsely gauged regions. Floods are the biggest and severest natural disaster we face year after year. Furthermore, there has been little improvement in our capability to prevent flood damage over past decades. This research proposes a paradigm shift in the way flood forecasting, warning and evacuation proceeds, using 21st century technologies for collecting and incorporating flood related data into exist ....Reducing flood loss - A data-assimilation framework for improving forecasting capability in sparsely gauged regions. Floods are the biggest and severest natural disaster we face year after year. Furthermore, there has been little improvement in our capability to prevent flood damage over past decades. This research proposes a paradigm shift in the way flood forecasting, warning and evacuation proceeds, using 21st century technologies for collecting and incorporating flood related data into existing modelling platforms. It is argued that assimilating real-time satellite soil moisture data into flood models can increase accuracy manifold, even if the images are uncertain. The understanding gained in course of the proposed project has the potential to significantly reduce the damage caused year after year, especially in the data poor regions of the world.Read moreRead less
A real-time modelling of crowd dynamics for disaster prevention. This project aims to develop methods and technologies to enable urban planners to design infrastructures to ensure public safety in emergency situations and to enable emergency management to optimise effective response plans. Rapid population growth creates major challenges for urban management, which has a responsibility to ensure the safety of citizens in the case of emergencies. This project aims to develop a methodology to stud ....A real-time modelling of crowd dynamics for disaster prevention. This project aims to develop methods and technologies to enable urban planners to design infrastructures to ensure public safety in emergency situations and to enable emergency management to optimise effective response plans. Rapid population growth creates major challenges for urban management, which has a responsibility to ensure the safety of citizens in the case of emergencies. This project aims to develop a methodology to study pedestrian crowd dynamics under panic or extreme emergency conditions, using innovative experimental approaches with new multi-scale online simulation methods and optimisation techniques. The resultant methodology would support planning and prediction of pedestrian crowd movements based on data from past events as well as adaptive planning for live events as they unfold.Read moreRead less
View-based processing of pattern matching queries in large graphs. Graph data exist ubiquitously in modern information systems. Graph pattern matching (GPM) finds parts of the data graph that match a given pattern. It has applications in many areas including knowledge discovery, public health, and crime detection. This project will develop novel techniques for the efficient processing of GPM queries in large graphs.