Productivity, growth and unemployment in economies with frictions. This project aims to examine decisions driving productivity, growth, and unemployment in macroeconomies with frictions. It examines how government (fiscal, monetary, and education) policies determine these decisions, and identifies the best configurations of these policies. It will construct dynamic general equilibrium models of economies to analyse the causal structure behind productivity changes, growth and unemployment. It wil ....Productivity, growth and unemployment in economies with frictions. This project aims to examine decisions driving productivity, growth, and unemployment in macroeconomies with frictions. It examines how government (fiscal, monetary, and education) policies determine these decisions, and identifies the best configurations of these policies. It will construct dynamic general equilibrium models of economies to analyse the causal structure behind productivity changes, growth and unemployment. It will conduct quantitative experiments using simulations, to estimate optimal government policy design settings. This project expects to identify policies that promote productivity, growth and employment.Read moreRead less
When every second counts: Multi-drone navigation in GPS-denied environments. The aim of this research is to develop a framework for multiple Unmanned Aerial Vehicles (UAV), that balances information sharing, exploration, localization, mapping, and other planning objectives thus allowing a team of UAVs to navigate in complex environments in time critical situations. This project expects to generate new knowledge in UAV navigation using an innovative approach by combining Simultaneous Localizatio ....When every second counts: Multi-drone navigation in GPS-denied environments. The aim of this research is to develop a framework for multiple Unmanned Aerial Vehicles (UAV), that balances information sharing, exploration, localization, mapping, and other planning objectives thus allowing a team of UAVs to navigate in complex environments in time critical situations. This project expects to generate new knowledge in UAV navigation using an innovative approach by combining Simultaneous Localization and Mapping (SLAM) algorithms with Partially Observable Markov Decision Processes (POMDP) and Deep Reinforcement learning. This should provide significant benefits, such as more responsive search and rescue inside collapsed buildings or underground mines, as well as fast target detection and mapping under the tree canopy. Read moreRead less
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
Condition Monitoring of Aircraft Propulsion for Automated Diagnostics. The integrity of the steering system is crucial for the safe operation of autonomous vehicles. This project aims at developing a new condition monitoring system able to diagnose steering faults earlier, provide a root-cause-analysis of malfunctions, and estimate associated failure risks in the future. The outcomes of this project will be a better understanding of steering faults and their effect on autonomous driving, timely ....Condition Monitoring of Aircraft Propulsion for Automated Diagnostics. The integrity of the steering system is crucial for the safe operation of autonomous vehicles. This project aims at developing a new condition monitoring system able to diagnose steering faults earlier, provide a root-cause-analysis of malfunctions, and estimate associated failure risks in the future. The outcomes of this project will be a better understanding of steering faults and their effect on autonomous driving, timely diagnostics and prognostics and innovative proactive control measures that mitigate their impact on autonomous driving quality and safety. The expected benefits for the automotive industry and end-users include increased safety and reliability of steering systems, and higher confidence in autonomous driving.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE210100184
Funder
Australian Research Council
Funding Amount
$183,437.00
Summary
Femtoliter Liquid Deposition Facility. This project aims to create a research capacity for direct printing of femtolitre volumes of functional liquids onto devices and surfaces. This project expects to enable the development of new sensing and electronic devices that require a novel fabrication step with delicate materials that cannot be deposited using existing processes. Expected outcomes include new chemical and biological sensors created through collaborative research between the partner in ....Femtoliter Liquid Deposition Facility. This project aims to create a research capacity for direct printing of femtolitre volumes of functional liquids onto devices and surfaces. This project expects to enable the development of new sensing and electronic devices that require a novel fabrication step with delicate materials that cannot be deposited using existing processes. Expected outcomes include new chemical and biological sensors created through collaborative research between the partner institutions and researchers. The benefits of this project should include the creation of a new rapid prototyping facility for Australian researchers, and the application of these capabilities for the development of new low-cost sensors for environmental gas sensing and glucose monitoring.Read moreRead less
Cell Membrane Coated Photonic Crystal to study Receptor-Ligand Interactions. The current gold-standard assays for examining receptor-ligand interactions require expensive and costly fluorescent or radioactive labels or proteomics processes. This project aims to develop Artificial Photonic Cells by directly coating photonic crystals with cell membranes. The Artificial Photonic Cells retain the protein receptors in their native cell membrane environment and allow for label-free monitoring of the r ....Cell Membrane Coated Photonic Crystal to study Receptor-Ligand Interactions. The current gold-standard assays for examining receptor-ligand interactions require expensive and costly fluorescent or radioactive labels or proteomics processes. This project aims to develop Artificial Photonic Cells by directly coating photonic crystals with cell membranes. The Artificial Photonic Cells retain the protein receptors in their native cell membrane environment and allow for label-free monitoring of the receptor-ligand interactions using inexpensive miniature spectrometers - radically transforming these assays. This would generate fundamental and applied knowledge of materials sciences, photonic, and biointerfaces for label-free, ultra-sensitive, and selective assays to enable future drug and diagnostics target discovery. Read moreRead less
Condition-Based Maintenance Optimisation for Queensland’s Railways. Rail maintainers currently use time-based (scheduled) approaches to balance the costs and benefits of inspections and maintenance. Changing to condition-based maintenance has the potential to reduce costs and improve track condition. This project aims to enable this approach for rail by developing: 1) new track degradation prediction techniques combining Big Data and engineering knowledge; 2) new on-board sensing capabilities fo ....Condition-Based Maintenance Optimisation for Queensland’s Railways. Rail maintainers currently use time-based (scheduled) approaches to balance the costs and benefits of inspections and maintenance. Changing to condition-based maintenance has the potential to reduce costs and improve track condition. This project aims to enable this approach for rail by developing: 1) new track degradation prediction techniques combining Big Data and engineering knowledge; 2) new on-board sensing capabilities for frequent, low-cost track monitoring; 3) novel inspection and maintenance optimisation methods to efficiently allocate resources. The knowledge generated by this project is expected to decrease maintenance costs, safety risk, and track closures and therefore enhance the affordability and reliability of rail travel.Read moreRead less
Developing feasible in situ control of mange disease in wombats. Our goal is the development of feasible in situ control of sarcoptic mange in wombat populations. Globally important, the Sarcoptes scabiei mite infects >100 mammal species and is among the 50 most common human diseases, causing health, welfare and population impacts. This infection is treatable, and we will test a new treatment (fluralaner), develop new models to guide management, and conduct replicated field trials. This will ena ....Developing feasible in situ control of mange disease in wombats. Our goal is the development of feasible in situ control of sarcoptic mange in wombat populations. Globally important, the Sarcoptes scabiei mite infects >100 mammal species and is among the 50 most common human diseases, causing health, welfare and population impacts. This infection is treatable, and we will test a new treatment (fluralaner), develop new models to guide management, and conduct replicated field trials. This will enable science-based guidelines, advancing disease control, local eradication, and regulatory approval for wombats. Our research framework is adaptable to other mange-impacted species, and advance methods and theory for control of treatable disease in wildlife.Read moreRead less
Understanding population growth time lags in invasive species. This project will use data collected from wild animals, landholder surveys, and computer simulation models to understand why invasive chital deer (Axis axis) are suddenly increasing in number after many years of slow population growth. By combining multiple empirical datasets and developing new modelling techniques, we will generate a new method for understanding population trends in introduced species. The results of this study will ....Understanding population growth time lags in invasive species. This project will use data collected from wild animals, landholder surveys, and computer simulation models to understand why invasive chital deer (Axis axis) are suddenly increasing in number after many years of slow population growth. By combining multiple empirical datasets and developing new modelling techniques, we will generate a new method for understanding population trends in introduced species. The results of this study will allow Queensland Department of Agriculture and Fisheries and others to better predict invasive species growth rates, which will allow for better, and more cost effective control methods. Read moreRead less