Privacy-preserving cloud data mining-as-a-service. This project aims to explore practical privacy-preserving solutions for cloud data mining-as-a-service based on the Intel Software Guard Extensions (SGX) technology. The research addresses privacy concerns of users when outsourcing data mining needs to the cloud. These concerns have increased as more businesses evaluate data mining-as-an outsourced service due to lack of expertise or computation resources. The expected outcomes from the research ....Privacy-preserving cloud data mining-as-a-service. This project aims to explore practical privacy-preserving solutions for cloud data mining-as-a-service based on the Intel Software Guard Extensions (SGX) technology. The research addresses privacy concerns of users when outsourcing data mining needs to the cloud. These concerns have increased as more businesses evaluate data mining-as-an outsourced service due to lack of expertise or computation resources. The expected outcomes from the research will include new data privacy models, new privacy-preserving data mining algorithms, and a prototype of cloud data mining software. These will help businesses cut costs for data mining and privacy protection, and provide significant benefits toward helping Australia achieve its national cyber security strategy and potentially provide economic impact from commercialisation of new software technology for the industry partner.Read moreRead less
Cohort discovery and activity mining for policy impact prediction. Cohort discovery and activity mining for policy impact prediction. This project aims to develop an intelligent systematic framework to predict policy impacts on Australian patients, by discovering inherent patient cohorts and assessing the impact of the policies on these cohorts. The proposed methods lay the theoretical foundations for building intelligent automated tools for policy assessment. Expected outcomes are data-driven p ....Cohort discovery and activity mining for policy impact prediction. Cohort discovery and activity mining for policy impact prediction. This project aims to develop an intelligent systematic framework to predict policy impacts on Australian patients, by discovering inherent patient cohorts and assessing the impact of the policies on these cohorts. The proposed methods lay the theoretical foundations for building intelligent automated tools for policy assessment. Expected outcomes are data-driven patient group discovery, which could more precisely identify the patient cohorts most likely to benefit from a specific policy; and a model to predict the efficacy of policy options, which could increase the sustainability of the national health system by enabling smarter, more efficient policy decision-making.Read moreRead less
The Dynamics of Low Income, Welfare reliance, and Changes in the Family Stucture of Parents with Dependent children. We build a new seven-year longitudinal database, from FaCS administrative records and supplementary surveys, for low income parents with dependent children to analyse the dynamics of, and interrationships among, changes in family structure, income and welfare reliance. We identify and analyse exit and entry routes from low income, short and long run welfare receipt and movement fr ....The Dynamics of Low Income, Welfare reliance, and Changes in the Family Stucture of Parents with Dependent children. We build a new seven-year longitudinal database, from FaCS administrative records and supplementary surveys, for low income parents with dependent children to analyse the dynamics of, and interrationships among, changes in family structure, income and welfare reliance. We identify and analyse exit and entry routes from low income, short and long run welfare receipt and movement from one program to another, and highlight locational/regional variations in these movements. The project will help policy makers evaluate the impacts of existing programs and will change the nature and significance of Australian research and policy development in welfare dependency and support.Read moreRead less
The evolution of Australian enterprises, 1990 to 2007 : An empirical analysis of the relationship between turbulence among firms, productivity, growth and exports. This project will examine determinants and effects of enterprise entry and exit on growth, export and productivity in Australian industry using innovative panel enterprise data sets which have been collated and linked from existing ABS surveys, administrative data and accounting data. Currently, there is only one short longitudinal en ....The evolution of Australian enterprises, 1990 to 2007 : An empirical analysis of the relationship between turbulence among firms, productivity, growth and exports. This project will examine determinants and effects of enterprise entry and exit on growth, export and productivity in Australian industry using innovative panel enterprise data sets which have been collated and linked from existing ABS surveys, administrative data and accounting data. Currently, there is only one short longitudinal enterprise data set in Australia. Further data sets are required if policy makers are to understand patterns and causes of growth and business survival in Australia. Understanding provided from these studies should significantly improve our undertanding of how businesses perform.Read moreRead less
Integrating satellite observations into environmental accounts. Accounting for biomass, water and ecosystem helps to manage and protect Australia's natural capital. Existing data provide only limited information, but this project will build on recent advances in satellite observation and model-data fusion technology to produce national accounts with unprecedented detail, for each year since 1990.
A new-generation flood forecasting system using observations from space. Floods are dangerous and expensive, costing Australia more than any other cause of natural disaster. This project will use satellite measurements of soil moisture and rainfall along with computer models to improve the Bureau of Meteorology’s predictions of floods in rivers. Better flood forecasts will reduce costs and save lives.
How effective are environmental flows? Novel approaches for monitoring and assessing ecological responses to large-scale flow alteration. Australia has begun a multi-billion dollar program to return water to stressed rivers as environmental flows. However, during times of unprecedented water scarcity, such an investment in the environment can be controversial because the ecological benefits of released water are mostly poorly understood. This project will demonstrate the effectiveness of environ ....How effective are environmental flows? Novel approaches for monitoring and assessing ecological responses to large-scale flow alteration. Australia has begun a multi-billion dollar program to return water to stressed rivers as environmental flows. However, during times of unprecedented water scarcity, such an investment in the environment can be controversial because the ecological benefits of released water are mostly poorly understood. This project will demonstrate the effectiveness of environmental flows, and promote greater understanding of the links between flow patterns and river health. The project will build upon existing knowledge to create a sound framework for planning, monitoring, and evaluation of environmental watering decisions across regional Australia, greatly improving our ability to sustainably manage rivers into the future.Read moreRead less
Best practice temperate woodland assessment, management and monitoring. This ARC proposal is central to the goals of National Research Priority #1 – An environmentally sustainable Australia. The loss of biodiversity in agricultural landscapes in rural Australia is a major social, economic and ecological issue. Australian governments and local communities invest considerable money restoring temperate woodlands in agricultural landscapes. However, there remains considerable uncertainty about the e ....Best practice temperate woodland assessment, management and monitoring. This ARC proposal is central to the goals of National Research Priority #1 – An environmentally sustainable Australia. The loss of biodiversity in agricultural landscapes in rural Australia is a major social, economic and ecological issue. Australian governments and local communities invest considerable money restoring temperate woodlands in agricultural landscapes. However, there remains considerable uncertainty about the effectiveness of this investment. This project will produce an unparalleled evidence-base for individuals and organisations that make long-term investments in these landscapes for conservation.Read moreRead less
Diagnosing river health using invertebrate traits and DNA barcodes. Diagnosing river health using invertebrate traits and DNA barcodes. This project aims to develop indices that link change in invertebrate communities to specific environmental stressors, and combine these indices with innovative, low cost molecular approaches to species identification to rapidly identify the causes of decline. River health assessment methods, usually based on aquatic invertebrates, identify if rivers are impaire ....Diagnosing river health using invertebrate traits and DNA barcodes. Diagnosing river health using invertebrate traits and DNA barcodes. This project aims to develop indices that link change in invertebrate communities to specific environmental stressors, and combine these indices with innovative, low cost molecular approaches to species identification to rapidly identify the causes of decline. River health assessment methods, usually based on aquatic invertebrates, identify if rivers are impaired but must be developed to identify the causes of decline. The intended outcomes are improved sustainable water resource management within and among states, and improved natural resource policy development.Read moreRead less
New error correction strategies for continuous variable quantum key distribution. Quantum key distribution is a completely secure method for two distant parties to share a unique secret key. The aim of this project is to design new algorithms, construction tools and analysis techniques to produce new iterative error correction codes, which will improve the operational distance and performance of quantum key distribution.