Child Health And Development: A South Australian Data Linkage Study
Funder
National Health and Medical Research Council
Funding Amount
$283,934.00
Summary
Children’s healthy development is important for their readiness to learn, academic achievement at school, and for their future health and economic capability. This study links whole-of-population administrative data from nine different government sources, and data collected as part of a natural experiment evaluating the effects of the South Australian Family Home Visiting program to inform policy and service delivery in child health and development in South Australia.
XML Views of Relational Databases: Semantics and Update Problems. XML is the standard for representing, publishing and exchanging data over the Internet and relational database is the dominant technology for data management. Updating XML views over relational data is fundamental to bring these two technologies together to serve Internet-based applications. Australia has been a leading country in both developing and applying internet technologies. The theoretic outcomes of this project will contr ....XML Views of Relational Databases: Semantics and Update Problems. XML is the standard for representing, publishing and exchanging data over the Internet and relational database is the dominant technology for data management. Updating XML views over relational data is fundamental to bring these two technologies together to serve Internet-based applications. Australia has been a leading country in both developing and applying internet technologies. The theoretic outcomes of this project will contribute to the advance in database and web research communities and establish us as an internationally leading group in this research area. The technological outcomes will help organisations in Australia effectively and efficiently conduct e-Business on the Internet. Read moreRead less
A Population-based Record Linkage Study Of The Impact Of Chlamydia Infection On Reproductive Health In Women
Funder
National Health and Medical Research Council
Funding Amount
$405,114.00
Summary
Chlamydia is the most commonly notified infection in young Australian women and reports of cases are increasing. While chlamydia is thought to result in infertility and ectopic pregnancy in later life, the evidence for this is limited. This will be the largest, most comprehensive study in the world to determine the risk of infertility and ectopic pregnancy following chlamydia infection. The results will provide vital information to more cost-effectively plan strategies to control chlamydia in Au ....Chlamydia is the most commonly notified infection in young Australian women and reports of cases are increasing. While chlamydia is thought to result in infertility and ectopic pregnancy in later life, the evidence for this is limited. This will be the largest, most comprehensive study in the world to determine the risk of infertility and ectopic pregnancy following chlamydia infection. The results will provide vital information to more cost-effectively plan strategies to control chlamydia in Australia.Read moreRead less
Constraints in XML Schema Integration. This project will produce worldwide leading technologies for designing XML data integration system. With the technologies, the well designed integration systems will be able store data with rich semantics and thus provide accurate and understandable information to users. In this way, Australia and communities will be benefited both financially and informatively. The research of this project will also add to the research reputation of Australia in data integ ....Constraints in XML Schema Integration. This project will produce worldwide leading technologies for designing XML data integration system. With the technologies, the well designed integration systems will be able store data with rich semantics and thus provide accurate and understandable information to users. In this way, Australia and communities will be benefited both financially and informatively. The research of this project will also add to the research reputation of Australia in data integration areas. At the same time, the knowledge capacity of Australia on data integration will be enlarged which further improves frontier research activities in the area. Through the research of the project, PhD students will be trained.Read moreRead less
Burden Of Rheumatic Heart Disease (RHD) And Impact Of Prevention Strategies: Comprehensive Evidence To Drive The RHD Endgame
Funder
National Health and Medical Research Council
Funding Amount
$960,655.00
Summary
Rheumatic heart disease is chronic damage to the heart valves caused by repeated bouts of acute rheumatic fever. Both are preventable, yet rates among Indigenous Australians are of the highest recorded. We propose to undertake the first multi-jurisdictional study of these conditions to determine trends in occurrence and evaluate the impact of existing interventions in Australia. Findings will be used to inform the development of a roadmap to remove RHD as a public health problem in Australia.
Build competency aware and assuring machine learning systems. Recent development in machine learning (ML) has seen ML models with extremely high prediction accuracy. However, to support human-machine partnership in decision-making in complex environments, beyond accuracy, it is essential for ML systems to be competency aware and reliable, and at the same time be exploratory. This project aims to develop novel techniques to equip a ML system with the ability to identify own competency, to justify ....Build competency aware and assuring machine learning systems. Recent development in machine learning (ML) has seen ML models with extremely high prediction accuracy. However, to support human-machine partnership in decision-making in complex environments, beyond accuracy, it is essential for ML systems to be competency aware and reliable, and at the same time be exploratory. This project aims to develop novel techniques to equip a ML system with the ability to identify own competency, to justify its competency and decisions, to explore unknown situations and fully utilise existing expertise to deal with unknowns. The expected outcomes of the project will enable ML systems to become truely intelligent and reliable machine partners for human decision makers in a wide range of applications.Read moreRead less
New strategies to transmit data: Coping with exponential growth in demand. The aim of this project is to provide new technologies to facilitate the exponential growth in demand for streaming of digital data. Based on novel techniques combining graph theory, information theory, and coding, this project aims to change the way we encode data, offering significant improvements to the efficiency of communication networks and providing a 10-100 fold increase in transmission speed. If successful this p ....New strategies to transmit data: Coping with exponential growth in demand. The aim of this project is to provide new technologies to facilitate the exponential growth in demand for streaming of digital data. Based on novel techniques combining graph theory, information theory, and coding, this project aims to change the way we encode data, offering significant improvements to the efficiency of communication networks and providing a 10-100 fold increase in transmission speed. If successful this project expects to bring digital transmission improvements which could impact on almost every sector of the economy from education to advanced healthcare. Possible applications include cloud storage for big data, high-definition video streaming, and wide-coverage high-speed mobile broadband.Read moreRead less
Foundations for future wireless networks. Most of us have first-hand experience with temperamental wireless communications devices that don't meet our expectations. This project will deliver new technologies that enable lower costs, through more efficient use of radio spectrum. It will deliver more reliable and higher speed wireless broadband with better coverage, even to highly mobile users.
Towards knowledge discovery from imperfect and evolving data. Information extraction from data is critical, both to analyse and protect consumer data. However, many learning techniques are developed using perfect, static datasets, quite different to messy, ever-changing real-world data. This project aims to develop data analytics techniques that can extract accurate information in complex structures from imperfect/incomplete data that changes over time. Expected outcomes are a prototype tool, te ....Towards knowledge discovery from imperfect and evolving data. Information extraction from data is critical, both to analyse and protect consumer data. However, many learning techniques are developed using perfect, static datasets, quite different to messy, ever-changing real-world data. This project aims to develop data analytics techniques that can extract accurate information in complex structures from imperfect/incomplete data that changes over time. Expected outcomes are a prototype tool, tested on real datasets, that combines new techniques in data modelling, algorithm development, and system design. Likely benefits are enhanced Australia's competence in data science through student training and new, robust data tools relevant to critical sectors such as cybersecurity, healthcare, and defence.Read moreRead less
Compression of distributed data: bridging the gap between theory and practice. In bushfire and tsunami early warning systems, environmental monitoring and healthcare applications, distributed sensors collect and transmit correlated data. This project will design novel data compression algorithms that exploit this correlation to dramatically increase the performance of existing networks and enable new applications.