Large dynamic time-varying models for structural macroeconomic inference. This project aims to broaden the range of macroeconomic models that have an integrated capacity for both greater realism and efficiency in analysis. This approach will be applied to two contexts at the forefront of current macroeconomic research, the effects of noisy productivity signals on business cycles and the effects of fiscal policy shocks. Flexible macro-econometric models underpin accurate inference by economists ....Large dynamic time-varying models for structural macroeconomic inference. This project aims to broaden the range of macroeconomic models that have an integrated capacity for both greater realism and efficiency in analysis. This approach will be applied to two contexts at the forefront of current macroeconomic research, the effects of noisy productivity signals on business cycles and the effects of fiscal policy shocks. Flexible macro-econometric models underpin accurate inference by economists and policymakers and the project outputs should provide widespread and significant benefits by improving policy and boosting Australia’s comparative advantage.Read moreRead less
Understanding macroeconomic fluctuations with unobserved networks. Whilst empirical evidence suggests that firm-level shocks can have large aggregate effects, via network connections, macroeconomic policies have mostly an aggregate nature. This project aims to build a new framework to disentangle aggregate shocks from shocks to individual units. The major innovations are i) to infer the network from the data and ii) to jointly estimate aggregate factors and network effects. Expected outcomes are ....Understanding macroeconomic fluctuations with unobserved networks. Whilst empirical evidence suggests that firm-level shocks can have large aggregate effects, via network connections, macroeconomic policies have mostly an aggregate nature. This project aims to build a new framework to disentangle aggregate shocks from shocks to individual units. The major innovations are i) to infer the network from the data and ii) to jointly estimate aggregate factors and network effects. Expected outcomes are i) measures of systemic risk and ii) a theoretical framework to study the optimality of aggregate versus sectoral stabilization policies. Benefits include a better understanding of macroeconomic fluctuations in Australia and proposed economic policies to mitigate large and persistent declines in employment and GDP.Read moreRead less
New Bayesian methodology for understanding complex systems using hidden Markov models and expert opinion, environmental, robotics and genomics applications. This project aims to merge four areas of intense international interest in describing complex systems: hidden Markov models and mixtures, semi-parametric and nonparametric approaches, true combination of expert opinion with data, and new Bayesian computational methods based on perfect sampling and particle sampling. The project will signific ....New Bayesian methodology for understanding complex systems using hidden Markov models and expert opinion, environmental, robotics and genomics applications. This project aims to merge four areas of intense international interest in describing complex systems: hidden Markov models and mixtures, semi-parametric and nonparametric approaches, true combination of expert opinion with data, and new Bayesian computational methods based on perfect sampling and particle sampling. The project will significantly contribute to statistical methodology and its ability to inform about real-world problems. A strong focus on applications to genomics, robotics and environmental modelling will bring immediate research and monetary benefit for industry. Expected outcomes include enhanced cross-disciplinary and international linkages, publications, industry-funded projects and highly trained graduates.Read moreRead less
Detection and Quantification of General Fetal Movements from Accelerometer Measurements using Nonstationary Signal Processing Techniques. There are approximately 1,750 fetal deaths per year in Australian with about one-third occurring late in gestation and without an apparent cause. The development of an automated system capable of long-term monitoring of fetal health will result in accurate diagnoses and prediction of future outcome. This will, in turn, allow early intervention by the clinicia ....Detection and Quantification of General Fetal Movements from Accelerometer Measurements using Nonstationary Signal Processing Techniques. There are approximately 1,750 fetal deaths per year in Australian with about one-third occurring late in gestation and without an apparent cause. The development of an automated system capable of long-term monitoring of fetal health will result in accurate diagnoses and prediction of future outcome. This will, in turn, allow early intervention by the clinician to reduce fetal deaths and enhance the chances of good outcomes with resultant savings in social and financial costs to the community. The development of such equipment would spawn future research into intervention treatments and contribute to Australia's position as a world leader in computerised health monitoring systems.Read moreRead less
Development of Advanced Wear Debris Analysis Techniques for Osteoarthritis Study. Wear and tear of joints is the common cause of osteoarthritis, costing $19.25 billion/year. With this cost on the increase, and no cure to date, comes a need to develop effective methods for its diagnosis. This study will provide new knowledge on osteoarthritis progression by allowing strategic use of national health resources. A fuzzy expert system, to be developed utilising the diagnostic/prognostic techniques of ....Development of Advanced Wear Debris Analysis Techniques for Osteoarthritis Study. Wear and tear of joints is the common cause of osteoarthritis, costing $19.25 billion/year. With this cost on the increase, and no cure to date, comes a need to develop effective methods for its diagnosis. This study will provide new knowledge on osteoarthritis progression by allowing strategic use of national health resources. A fuzzy expert system, to be developed utilising the diagnostic/prognostic techniques of this study will significantly reduce cost and time. The project will contribute to the National Strategy by helping older Australians; the major group of osteoarthritis sufferers, to retain their health, independence and productivity.Read moreRead less
Magnetofluidic sample handling for enhanced point-of-care diagnosis. This project aims to decipher the mechanism behind recent discovery on the enhancement of mixing and separation with magnetism and to apply it to the rapid and early detection of malaria and cancer. This mechanism provides novel and unique fluid handling capabilities, which allow the development of revolutionary point-of-care diagnostic approaches that integrate magnetic mixing, separation and detection on a single device. The ....Magnetofluidic sample handling for enhanced point-of-care diagnosis. This project aims to decipher the mechanism behind recent discovery on the enhancement of mixing and separation with magnetism and to apply it to the rapid and early detection of malaria and cancer. This mechanism provides novel and unique fluid handling capabilities, which allow the development of revolutionary point-of-care diagnostic approaches that integrate magnetic mixing, separation and detection on a single device. The outcomes of this project are instrumental for the reduction of healthcare cost, promoting good health for Australian and potentially creating new jobs in the niche biomedical industry.Read moreRead less
Identification of causal variants for complex traits. The aim of this project is to identify causal variants for complex traits in cattle and humans. Although most important traits in agriculture, medicine and evolution are complex traits, very few of the genetic variants affecting these traits are known and this undermines our understanding of how genetic variants affect a trait and practical uses of this knowledge. Huge datasets of individuals with genome sequence and phenotypes and new statis ....Identification of causal variants for complex traits. The aim of this project is to identify causal variants for complex traits in cattle and humans. Although most important traits in agriculture, medicine and evolution are complex traits, very few of the genetic variants affecting these traits are known and this undermines our understanding of how genetic variants affect a trait and practical uses of this knowledge. Huge datasets of individuals with genome sequence and phenotypes and new statistical methods provide the opportunity to close this gap. The outcome will be identification of many genomic variants causing variation in complex traits. This will benefit scientific understanding of complex traits and the ability to predict traits for individuals from their genome sequence.Read moreRead less
Modelling active play in preschool children using machine learning. This interdisciplinary project explores novel machine learning approaches to modelling physical activity data in preschool children. The approach taken is considered the future of physical activity assessment and is expected to substantially enhance the measurement of physical activity and the evidence base that informs strategies to improve population health through physical activity promotion. The project aims to transform the ....Modelling active play in preschool children using machine learning. This interdisciplinary project explores novel machine learning approaches to modelling physical activity data in preschool children. The approach taken is considered the future of physical activity assessment and is expected to substantially enhance the measurement of physical activity and the evidence base that informs strategies to improve population health through physical activity promotion. The project aims to transform the understanding of young children's physical activity behaviour, and is expected to have important implications for the design of accurate and effective technology-based physical activity monitoring and intervention applications that could be delivered through the e-health initiative in Australia.Read moreRead less
Nanoarchitectured multifunctional porous superparamagnetic nanoparticles. This project aims to develop a method for the direct detection of biomarkers based on a new class of highly porous superparamagnetic nanoparticles with peroxidase-like activity. The particles will be used as dispersible capture agents for isolating specific targets in biological samples, and electrocatalytic nanozymes for naked-eye evaluation and electrochemical detection. The project is expected to develop simple, low-cos ....Nanoarchitectured multifunctional porous superparamagnetic nanoparticles. This project aims to develop a method for the direct detection of biomarkers based on a new class of highly porous superparamagnetic nanoparticles with peroxidase-like activity. The particles will be used as dispersible capture agents for isolating specific targets in biological samples, and electrocatalytic nanozymes for naked-eye evaluation and electrochemical detection. The project is expected to develop simple, low-cost, portable devices for the analysis of exosomes and exosomal miRNA in biological samples. The future development of this technology into diagnostic devices will improve patient outcomes by enabling earlier disease diagnosis and improved monitoring of treatment.Read moreRead less
Bioelectronic logic. This project aims to understand ion-electron interactions relevant to bioelectronics, and create transducing interfaces. Bioelectronics is a frontier field which aims to connect biological systems with modern electronics and so create biomedical devices. Transducing ion and electron signals using a biocompatible functional interface is difficult since ion and electron physics are different. By combining individual transducers, this project intends to demonstrate ground-break ....Bioelectronic logic. This project aims to understand ion-electron interactions relevant to bioelectronics, and create transducing interfaces. Bioelectronics is a frontier field which aims to connect biological systems with modern electronics and so create biomedical devices. Transducing ion and electron signals using a biocompatible functional interface is difficult since ion and electron physics are different. By combining individual transducers, this project intends to demonstrate ground-breaking bioelectronic logic capable of interface-level processing. The stretch goal is to test this new logic with a biological neuronal model. The project could deliver new science and interfacing elements to integrate tissue and circuitry, and demonstrate these in a real biological model.Read moreRead less