Policy Modelling for Ageing in Emerging Economies: The Case of Indonesia. This project, in collaboration with the World Bank and the Indonesian Planning Authority, will support major social and economic policy development in a rapidly ageing region. It will break new ground by developing a cutting-edge economic policy model reflecting salient features of ageing in emerging economies, taking into account the wider implications for education, employment, formalisation, growth, and retirement. It w ....Policy Modelling for Ageing in Emerging Economies: The Case of Indonesia. This project, in collaboration with the World Bank and the Indonesian Planning Authority, will support major social and economic policy development in a rapidly ageing region. It will break new ground by developing a cutting-edge economic policy model reflecting salient features of ageing in emerging economies, taking into account the wider implications for education, employment, formalisation, growth, and retirement. It will bring the armoury of policy analysis instruments available to these countries up to the standard now enjoyed by the developed world. Indonesia, on the brink of major pension reform, will be used as a test bed. Data sets will be developed to allow the model structure to be applied to other emerging economies in Asia. Read moreRead less
Embrittlement-tolerant alloys for safe hydrogen transmission and storage. Hydrogen embrittlement in steels is a major impediment to a safe hydrogen economy. This project will determine how hydrogen affects the deformation behaviour of steel, providing the fundamental information that is required to develop alloys that can be safely used in infrastructure for a future Australian hydrogen industry. We will utilise new technologies that allow us, for the first time, to determine the position of hyd ....Embrittlement-tolerant alloys for safe hydrogen transmission and storage. Hydrogen embrittlement in steels is a major impediment to a safe hydrogen economy. This project will determine how hydrogen affects the deformation behaviour of steel, providing the fundamental information that is required to develop alloys that can be safely used in infrastructure for a future Australian hydrogen industry. We will utilise new technologies that allow us, for the first time, to determine the position of hydrogen atoms around micro-scale features and to compare it to local mechanical behaviour, determined by micro-mechanical tests. The systematic investigation of the effect of hydrogen on different micro-components within steel will allow the development of microstructure-guided alloy design principles.Read moreRead less
Reducing health disparities for culturally and linguistically diverse peoples. This project aims to develop a greater understanding of migrants and the factors that predict poor health outcomes related to blood-borne viruses and sexually transmitted infections. The delayed access by migrants to healthcare from culturally and linguistically diverse backgrounds results in late diagnosis, low treatment uptake, and poorer health outcomes, with enhanced risk of infection and increased burden on the h ....Reducing health disparities for culturally and linguistically diverse peoples. This project aims to develop a greater understanding of migrants and the factors that predict poor health outcomes related to blood-borne viruses and sexually transmitted infections. The delayed access by migrants to healthcare from culturally and linguistically diverse backgrounds results in late diagnosis, low treatment uptake, and poorer health outcomes, with enhanced risk of infection and increased burden on the health system. The data collected in this project will assist in developing health services to meet these needs.Read moreRead less
The infectome of NSW dairy calves, a genomic microbial surveillance . Infectious diseases are the main cause of disease and mortality in calves. The knowledge of the diversity of infectious disease-causing agents in NSW dairy cattle is not comprehensive. Thus, the immediate goal of this proposal is to redress this knowledge gap using untargeted microbial genomic sequencing to characterise and identify known and emerging enteric and respiratory pathogens in dairy calves. We will determine the occ ....The infectome of NSW dairy calves, a genomic microbial surveillance . Infectious diseases are the main cause of disease and mortality in calves. The knowledge of the diversity of infectious disease-causing agents in NSW dairy cattle is not comprehensive. Thus, the immediate goal of this proposal is to redress this knowledge gap using untargeted microbial genomic sequencing to characterise and identify known and emerging enteric and respiratory pathogens in dairy calves. We will determine the occurrence and distribution of their microbial species across all NSW dairy regions. This will enable the Australian dairy industry to improve animal health and productivity, and diagnostic capacity, which will allow farmers to make informed management decisions about disease control strategies. Read moreRead less
Machine learning techniques for fuel loss detection at service stations. This project aims to develop effective techniques to identify the sources of fuel losses, such as leaks and calibration errors in underground storage tanks at service stations. Monitoring fuel losses at service stations is influenced by many external factors which can be difficult to predict. The project expects to use machine learning to develop the techniques and test them with live data at service stations. The expected ....Machine learning techniques for fuel loss detection at service stations. This project aims to develop effective techniques to identify the sources of fuel losses, such as leaks and calibration errors in underground storage tanks at service stations. Monitoring fuel losses at service stations is influenced by many external factors which can be difficult to predict. The project expects to use machine learning to develop the techniques and test them with live data at service stations. The expected outcomes are a set of tailor-made machine learning techniques for effective fuel loss detection and a software suite that can be easily incorporated into the normal operation of service stations. This should reduce the costs to the petroleum industry from wasteful leaks and the environmental damage caused by these leaks. Read moreRead less