When caring ends: Understanding and supporting informal care trajectories. This project aims to advance understandings of how, why, when, and for whom caring ends, including the socio-cultural and relational factors that shape experiences before, during, and after caring. Using an innovative, multi-method sociological approach, and foregrounding carers’ voices, this project expects to generate new knowledge on the meaning and experience of care and caring. This project is significant in bringing ....When caring ends: Understanding and supporting informal care trajectories. This project aims to advance understandings of how, why, when, and for whom caring ends, including the socio-cultural and relational factors that shape experiences before, during, and after caring. Using an innovative, multi-method sociological approach, and foregrounding carers’ voices, this project expects to generate new knowledge on the meaning and experience of care and caring. This project is significant in bringing together leading researchers and key carer-focused organisations, spanning service sectors and moving across care relationships, life stages and contexts. Expected outcomes include enhanced service capacity with tangible policy and practice benefits that will enable sustainable and fulfilling informal caring experiences.Read moreRead less
Characteristics, trends, co-admissions and service needs of women admitted to residential parenting services in the year following giving birth in New South Wales. This project will examine the physical, psychological and demographic characteristics of women who use the residential parenting services provided by Tresillian and Karitane in New South Wales in twelve months following giving birth. Findings from this project will inform the design and delivery of health services to better meet the n ....Characteristics, trends, co-admissions and service needs of women admitted to residential parenting services in the year following giving birth in New South Wales. This project will examine the physical, psychological and demographic characteristics of women who use the residential parenting services provided by Tresillian and Karitane in New South Wales in twelve months following giving birth. Findings from this project will inform the design and delivery of health services to better meet the needs of women into the future.Read moreRead less
Enhancing mothers' engagement with the workforce in the preschool years. Increasing the workforce participation of mothers is a key national policy agenda. This project will produce unique data that provides insights into how leave arrangements, childcare, flexibility, job characteristics and individual circumstances interact to influence mothers' workforce engagement and how this varies for different groups of mothers.
Post-separation co-parenting apps: Can they help families avoid conflict? This project aims to examine the role and effectiveness of smartphone apps in supporting families to respond to the many challenges of post-separation co-parenting. In an increasingly digital landscape where poor app choices can have serious consequences for families, this knowledge is urgently needed by parents and family law practitioners. This project expects to deliver a comprehensive understanding of the benefits and ....Post-separation co-parenting apps: Can they help families avoid conflict? This project aims to examine the role and effectiveness of smartphone apps in supporting families to respond to the many challenges of post-separation co-parenting. In an increasingly digital landscape where poor app choices can have serious consequences for families, this knowledge is urgently needed by parents and family law practitioners. This project expects to deliver a comprehensive understanding of the benefits and risks of digital divorce apps. Expected outcomes include the first web-based decision-making tool to help separated parents make important decisions about managing post-separation communication. This should provide significant benefits, including a reduced risk of parental conflict and better outcomes for children.Read moreRead less
A new healthy living minimum income standard for low-paid and unemployed Australians. This project will generate family budgets to support healthy living among low-wage workers, the unemployed and their families. The project will build on past Australian and recent international research and embody current experience to make it relevant to real needs.
Classification and Prediction Modelling for Financial Distress, Tax Debt and Insolvency for ATO Clients. The Australian Taxation Office (ATO) has clients who are not able to meet their taxation debts, resulting in revenue shortfalls for both the State and Federal Governments. Through this project, we will develop predictive models and techniques which identify client classes and clusters in the ATO client population and the defining attributes of these collections - especially those which are a ....Classification and Prediction Modelling for Financial Distress, Tax Debt and Insolvency for ATO Clients. The Australian Taxation Office (ATO) has clients who are not able to meet their taxation debts, resulting in revenue shortfalls for both the State and Federal Governments. Through this project, we will develop predictive models and techniques which identify client classes and clusters in the ATO client population and the defining attributes of these collections - especially those which are at high risk of incurring debt and defaulting on paying taxes. In turn, the early identification of clients in financial distress will allow the ATO to give them assistance so that they can reduce their debts and meet their financial obligations.Read moreRead less
Intelligent Decision Support for Neonatal Analysis and Trend Detection. Nearly five percent of newborn babies require intensive care after birth. Several electronic instruments monitor a baby's vital signs such as blood oxygen, blood pressure and heart rate. A major limitation in neonatal clinical management is that the physiological data generated by the monitors is not extracted to provide an integrated picture of the baby's condition or to enable detection of trends and patterns in clinical a ....Intelligent Decision Support for Neonatal Analysis and Trend Detection. Nearly five percent of newborn babies require intensive care after birth. Several electronic instruments monitor a baby's vital signs such as blood oxygen, blood pressure and heart rate. A major limitation in neonatal clinical management is that the physiological data generated by the monitors is not extracted to provide an integrated picture of the baby's condition or to enable detection of trends and patterns in clinical and real-time physiological data. This project will develop a methodology and technology that supports neonatal analysis incorporating a framework to mine data for trend detection, resulting in higher survival rates.Read moreRead less
Intelligent Design Advisor for Manufacturing Process Knowledge within Concurrent Engineering in the Aerospace Industry. At present the design of engineering components in the aerospace industry is accomplished by experts from design and manufacturing either sequentially or in collaboration. If performed in sequence then time and quality is jeopardised. If performed in collaboration then more manpower than is necessary is expended. The aim of this project is to develop an intelligent design advis ....Intelligent Design Advisor for Manufacturing Process Knowledge within Concurrent Engineering in the Aerospace Industry. At present the design of engineering components in the aerospace industry is accomplished by experts from design and manufacturing either sequentially or in collaboration. If performed in sequence then time and quality is jeopardised. If performed in collaboration then more manpower than is necessary is expended. The aim of this project is to develop an intelligent design advisor for Manufacturing Process Knowledge that will provide this expert knowledge to the design engineer in order to speed up the design process while reducing costs and still maintaining the high standard of quality necessary in the Aerospace industry.Read moreRead less
A safety-preserving ecosystem for autonomous driving. In this project, Macquarie University will collaborate with UTS and SilverQuest to develop an innovative safety-preserving ecosystem for autonomous driving. This system will not only be adopted by SilverQuest’s customers (automotive companies) to secure their latest autonomous driving models, but also be commercialised as a toolset that can be plugged into existing autonomous vehicles to detect and prevent malicious attacks on autonomous driv ....A safety-preserving ecosystem for autonomous driving. In this project, Macquarie University will collaborate with UTS and SilverQuest to develop an innovative safety-preserving ecosystem for autonomous driving. This system will not only be adopted by SilverQuest’s customers (automotive companies) to secure their latest autonomous driving models, but also be commercialised as a toolset that can be plugged into existing autonomous vehicles to detect and prevent malicious attacks on autonomous driving models. The project will lead to two innovations: in theory design an attack detection and prevention ecosystem for autonomous driving and in application implement a safety analysis toolset for industry-scale autonomous systems.Read moreRead less
High Frequency Data Stream Event Correlation for Complex Neonatal Medical Alerts. Nearly twenty percent of newborn babies require intensive care after birth. Several electronic instruments monitor a baby's vital signs such as blood oxygen, blood pressure and heart rate. A major limitation in neonatal clinical management is that the data generated by these monitors is not integrated to enable the alerting of condition deterioration or early warning of possible condition onset. This project will d ....High Frequency Data Stream Event Correlation for Complex Neonatal Medical Alerts. Nearly twenty percent of newborn babies require intensive care after birth. Several electronic instruments monitor a baby's vital signs such as blood oxygen, blood pressure and heart rate. A major limitation in neonatal clinical management is that the data generated by these monitors is not integrated to enable the alerting of condition deterioration or early warning of possible condition onset. This project will develop a methodology and technology that supports the cross correlation of neonatal clinical and physiological data for complex neonatal medical alerts, through the use of agents within an event stream processor, resulting in higher survival rates.Read moreRead less