Insecure Work and the Mental Health of Workers and their Families. This project aims to explore the relationship between insecure work and mental health by applying advanced econometric methods to large survey and administrative datasets, and newly collected survey data. This project expects to provide causal policy-relevant estimates of how insecure work is affecting the wellbeing of workers and their families, and for whom the effects are most harmful. It also expects to inform on how poor men ....Insecure Work and the Mental Health of Workers and their Families. This project aims to explore the relationship between insecure work and mental health by applying advanced econometric methods to large survey and administrative datasets, and newly collected survey data. This project expects to provide causal policy-relevant estimates of how insecure work is affecting the wellbeing of workers and their families, and for whom the effects are most harmful. It also expects to inform on how poor mental health influences the types of jobs that people enter into. This should provide significant benefits, including evidence needed to improve existing workplace and employment programs, and evidence ensuring that assistance is efficiently targeted to those workers and industries with the greatest need.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
Job retention and advancement of disadvantaged job-seekers. This project will use empirical methods to help determine what is necessary for job retainment and career advancement of disadvantaged jobseekers. Job retainment and advancement are essential to prolonged workforce participation and the development of human capital of disadvantaged jobseekers re-entering the workforce. Understanding and supporting the drivers of workforce participation is identified as a National Research Priority. Ther ....Job retention and advancement of disadvantaged job-seekers. This project will use empirical methods to help determine what is necessary for job retainment and career advancement of disadvantaged jobseekers. Job retainment and advancement are essential to prolonged workforce participation and the development of human capital of disadvantaged jobseekers re-entering the workforce. Understanding and supporting the drivers of workforce participation is identified as a National Research Priority. Therefore, the project findings will be of considerable importance to employment policy development in Australia to help ensure that future policy developments improve the human capital of disadvantaged entrants to the labour market and alleviate longer-term poverty and social exclusion. Read moreRead less
Measuring Hospital Performance: Outputs, Quality of Care, Competition and Efficiency. Hospitals are a critical component of the health infrastructure. An understanding of the performance of hospitals is important in shaping an overall health care strategy. Unfortunately, assessing hospital performance has been fraught with difficulties. A major obstacle is in defining and measuring the outputs and quality of hospitals. Collaborating with the Victorian Department of Human Services, and using t ....Measuring Hospital Performance: Outputs, Quality of Care, Competition and Efficiency. Hospitals are a critical component of the health infrastructure. An understanding of the performance of hospitals is important in shaping an overall health care strategy. Unfortunately, assessing hospital performance has been fraught with difficulties. A major obstacle is in defining and measuring the outputs and quality of hospitals. Collaborating with the Victorian Department of Human Services, and using the Department's VAED datasets, we aim to develop a framework within which unobservable quality dimensions can be estimated, so that hospital output and quality can be accounted for. The framework will be useful for addressing pertinent health policy issues, including hospital funding, specialisation, and competition issues.Read moreRead less
Dynamic Deep Learning for Electricity Demand Forecasting. This project aims at developing a deep learning technology for high resolution electricity demand forecasting and residential demand response modelling. Electricity consumption data are dynamic and highly uncertain. The deep learning technology expects to provide accurate demand forecasting, and thus enabling optimal use of existing
grid assets and guiding future investments. The expected outcome can support data-driven decision-making in ....Dynamic Deep Learning for Electricity Demand Forecasting. This project aims at developing a deep learning technology for high resolution electricity demand forecasting and residential demand response modelling. Electricity consumption data are dynamic and highly uncertain. The deep learning technology expects to provide accurate demand forecasting, and thus enabling optimal use of existing
grid assets and guiding future investments. The expected outcome can support data-driven decision-making in Australia's electricity distribution network planning and operation by considering future challenges such as integrating battery storage and electric vehicles into the grid, and thus providing reliable energy. The project expects to train next generation expert workforce for Australia's future power grid.Read moreRead less
Intergenerational Disadvantage: Causes, Pathways, and Consequences. This Project aims to prevent poor Australian children from becoming poor adults by developing scientific evidence and creative policy approaches to overcome entrenched disadvantage. The Project will generate new knowledge on how social assistance dependence is linked across generations using new Australian data. Expected outcomes are the identification of i) the causal link between parents’ and children’s social assistance depen ....Intergenerational Disadvantage: Causes, Pathways, and Consequences. This Project aims to prevent poor Australian children from becoming poor adults by developing scientific evidence and creative policy approaches to overcome entrenched disadvantage. The Project will generate new knowledge on how social assistance dependence is linked across generations using new Australian data. Expected outcomes are the identification of i) the causal link between parents’ and children’s social assistance dependence; ii) the pathways through which youths overcome disadvantage; and iii) the role of family structure in transmitting disadvantage. Transforming the evidence base, the findings will have significant benefits in redesigning the Australian social safety net, promoting social and economic mobility.Read moreRead less
A Data-Centric Mobile Edge Platform for Resilient Logistics & Supply Chain. This project aims to develop a secure mobile edge computing platform for resilient logistic and supply chain management. It consists of easy-used functions that help businesses realise low latency, high reliability, low cost, and high security in their logistics and supply chain system. To cope with the vast generated application data, we invent new data replication, placement, and deduplication techniques to optimise th ....A Data-Centric Mobile Edge Platform for Resilient Logistics & Supply Chain. This project aims to develop a secure mobile edge computing platform for resilient logistic and supply chain management. It consists of easy-used functions that help businesses realise low latency, high reliability, low cost, and high security in their logistics and supply chain system. To cope with the vast generated application data, we invent new data replication, placement, and deduplication techniques to optimise the mobile edge computing platform from the computation, storage, and network aspects. The invented mobile edge computing platform will enable more intelligent business applications for various industries, e.g., IT, manufacturing, and media, to appear, thus benefiting both the economy of Australia.Read moreRead less
Technology Transforming Markets: Large-Scale Field Experiments in Electricity Use. Advances in information technology are transforming electricity markets. Victoria is rolling out ‘smart’ meters, which record half-hourly consumption data. Some retailers also provide web portals that facilitate customer access to this information. Together with an innovative start-up company, this project aims to use large-scale field experiments to evaluate the impact of these technologies on how consumers: use ....Technology Transforming Markets: Large-Scale Field Experiments in Electricity Use. Advances in information technology are transforming electricity markets. Victoria is rolling out ‘smart’ meters, which record half-hourly consumption data. Some retailers also provide web portals that facilitate customer access to this information. Together with an innovative start-up company, this project aims to use large-scale field experiments to evaluate the impact of these technologies on how consumers: use electricity; opt for new pricing plans; and switch retailers. The aims have important implications for environmental policies designed to conserve energy, for consumer choice and welfare, and for retail market competitiveness.Read moreRead less
Cost-effective and Reliable Edge Caching for Software Vendors. This project aims to deliver a suite of models and techniques for cost-effective and reliable data caching in the multi-access edge computing (MEC) environment facilitated by 5G mobile network. MEC offers great promises for rapidly advancing mobile and IoT applications in various domains in Australia, e.g., smart cities, remote medical services, advanced manufacturing, etc. Combining graph analytics, optimisation techniques and game ....Cost-effective and Reliable Edge Caching for Software Vendors. This project aims to deliver a suite of models and techniques for cost-effective and reliable data caching in the multi-access edge computing (MEC) environment facilitated by 5G mobile network. MEC offers great promises for rapidly advancing mobile and IoT applications in various domains in Australia, e.g., smart cities, remote medical services, advanced manufacturing, etc. Combining graph analytics, optimisation techniques and game theory, this project tackles the new challenges in the placement, update and adaptation of edge data faced by software vendors embracing 5G. The outcomes can ease software vendors' cost and security concerns during the transition from 4G to 5G, and significantly promote the wave of 5G innovation in Australia.Read moreRead less
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