ARC Centre of Excellence in Population Ageing Research. This Centre intends to generate crucial knowledge to inform social and economic responses to population ageing, one of the most important issues of the 21st century. Population ageing exerts unprecedented pressures on social norms and policy institutions, both in Australia and around the world. Leading researchers from a range of disciplines will undertake multidisciplinary research to help governments, businesses, and consumers prepare for ....ARC Centre of Excellence in Population Ageing Research. This Centre intends to generate crucial knowledge to inform social and economic responses to population ageing, one of the most important issues of the 21st century. Population ageing exerts unprecedented pressures on social norms and policy institutions, both in Australia and around the world. Leading researchers from a range of disciplines will undertake multidisciplinary research to help governments, businesses, and consumers prepare for and make better decisions for an ageing world, with consequent social and economic benefits for families and communities expected to flow to Australia, the Asian region and the world.Read moreRead less
Feature Learning for High-dimensional Functional Time Series. This project aims to develop new methods and theories for common features on high-dimensional functional time series observed in empirical applications. The significance includes addressing a key gap in adaptive and efficient feature learning, improving forecasting accuracy and understanding forecasting-driven factors comprehensively for empirical data. Expected outcomes involve advances in big data theory and easy-to-implement algori ....Feature Learning for High-dimensional Functional Time Series. This project aims to develop new methods and theories for common features on high-dimensional functional time series observed in empirical applications. The significance includes addressing a key gap in adaptive and efficient feature learning, improving forecasting accuracy and understanding forecasting-driven factors comprehensively for empirical data. Expected outcomes involve advances in big data theory and easy-to-implement algorithms for applied researchers. This project benefits not only advanced manufacturing by finding optimal stopping time for wood panel compression, but also superior forecasting for mortality in demography, climate data in environmental science, asset returns in finance, and electricity consumption in economics. Read moreRead less
Socially Responsible Insurance in the Age of Artificial Intelligence. This project aims to discover the social costs and benefits of using Artificial Intelligence in insurance, and to design practical interventions—responsible design workshops, practical guidance, regulatory proposals, new algorithmic tools—that realise the benefits while mitigating the costs. It expects to generate new knowledge drawing on philosophy, law and sociology, working closely with practitioners at the forefront of dep ....Socially Responsible Insurance in the Age of Artificial Intelligence. This project aims to discover the social costs and benefits of using Artificial Intelligence in insurance, and to design practical interventions—responsible design workshops, practical guidance, regulatory proposals, new algorithmic tools—that realise the benefits while mitigating the costs. It expects to generate new knowledge drawing on philosophy, law and sociology, working closely with practitioners at the forefront of deploying AI in insurance. Expected outcomes include novel ethical AI-based approaches to product design, pricing and claims administration. This should benefit insurers and consumers, realising efficiency gains made possible by AI, without unacceptable costs to privacy, fairness, and the unaccountable exercise of power. Read moreRead less
Integrated Kids Hubs - Ensuring Equity of Access for Children. The Integrated Kids Hubs - Ensuring Equity of Access for Children project aims to determine if integrated Hubs are effective in increasing access to child and family services for disadvantaged urban and regional families with children aged 3 years and under, thus improving early identification of developmental vulnerability, parental wellbeing and capacity, and addressing unmet psychosocial needs. If these issues are not identified a ....Integrated Kids Hubs - Ensuring Equity of Access for Children. The Integrated Kids Hubs - Ensuring Equity of Access for Children project aims to determine if integrated Hubs are effective in increasing access to child and family services for disadvantaged urban and regional families with children aged 3 years and under, thus improving early identification of developmental vulnerability, parental wellbeing and capacity, and addressing unmet psychosocial needs. If these issues are not identified and addressed early, these children will go on to struggle in school and life. We will use a pragmatic trial design (meaning the research is embedded in our usual practice), determine the social return on investment, and establish what is needed to scale up the Hubs across NSW and Australia.Read moreRead less
Disaster risk reduction practices that leave nobody behind. This project aims to answer critical questions about how to assist people with disabilities (PWD) in disasters, what their support needs are and how they might help themselves to better prepare for disasters. Significance includes coupling a person-centred emergency preparedness tool with cross-sectoral processes to collect and use data about the support needs of PWD in emergencies, increase cross-sector communication and collaboration ....Disaster risk reduction practices that leave nobody behind. This project aims to answer critical questions about how to assist people with disabilities (PWD) in disasters, what their support needs are and how they might help themselves to better prepare for disasters. Significance includes coupling a person-centred emergency preparedness tool with cross-sectoral processes to collect and use data about the support needs of PWD in emergencies, increase cross-sector communication and collaboration between emergency managers and community services, and improve equitable access for PWD to community-level disaster risk reduction (DRR). The expected outcome will be the co-design of effective mechanisms that state & federal decision makers can use to scale-up disability-inclusive DRR across Australia.Read moreRead less
DIsrupting Child Exploitation - the DICE project. Child sexual exploitation is an insidious social problem which impacts the most vulnerable children and young people in Australia. The DICE project (Disrupting Child Sexual Exploitation) aims to develop a multi-agency response which pivots the focus of intervention to the sexual exploitation predators who target vulnerable young people in statutory care. Previous interventions have prioritised protecting (and controlling) the young people, with l ....DIsrupting Child Exploitation - the DICE project. Child sexual exploitation is an insidious social problem which impacts the most vulnerable children and young people in Australia. The DICE project (Disrupting Child Sexual Exploitation) aims to develop a multi-agency response which pivots the focus of intervention to the sexual exploitation predators who target vulnerable young people in statutory care. Previous interventions have prioritised protecting (and controlling) the young people, with limited success. Through a trauma informed approach which supports young people, combined with disruptive police strategies targeting perpetrators, and co-ordinated multiagency working, it is anticipated that there will be measurable changes to the protection of vulnerable young people. Read moreRead less
Quantifying Ethics-related Metrics for Transport Network Systems. This project aims to identify ethics-related metrics for improving the design of transport network services, and augment the social benefits of transport systems to relevant user groups. This project is anticipated to conceive, implement and validate new methodologies to solve challenging optimisation problems aiming at promoting ethics in transport systems via the provision of incentives to transport services providers. The outco ....Quantifying Ethics-related Metrics for Transport Network Systems. This project aims to identify ethics-related metrics for improving the design of transport network services, and augment the social benefits of transport systems to relevant user groups. This project is anticipated to conceive, implement and validate new methodologies to solve challenging optimisation problems aiming at promoting ethics in transport systems via the provision of incentives to transport services providers. The outcomes of this project are expected to support the emergence of ethical transport systems and to address fundamental societal and economical challenges induced by utility-driven transport services. This project will help in positioning Australia as a global leader in the field of ethical transport network systems.Read moreRead less
Linking for Life: Enhancing pathways to well-being for all Australians. The Linking for Life Project will identify pathways to wellbeing and better social outcomes across the life-course for high-risk/vulnerable individuals and their families to streamline service provision, improve outcomes and identify cost-efficiencies across government agencies. The work will expand cross-sectoral data linkage capability, enhancing research capacity to generate evidence-based policy to improve integrated ser ....Linking for Life: Enhancing pathways to well-being for all Australians. The Linking for Life Project will identify pathways to wellbeing and better social outcomes across the life-course for high-risk/vulnerable individuals and their families to streamline service provision, improve outcomes and identify cost-efficiencies across government agencies. The work will expand cross-sectoral data linkage capability, enhancing research capacity to generate evidence-based policy to improve integrated service delivery across government. The project will also trial innovative data linkage models including the creation of data repositories to improve efficiency for data provision and access, which will have application nationally and enable more timely access to whole-population linked cross-sector data.Read moreRead less
Stable on-demand optimization for workforce and fleet logistics management. This project aims to conceive, develop and deploy innovative methodologies for stable on-demand workforce management and fleet logistics based on advanced decision-support systems. The outcome of this project will provide a new cloud-based real-time Optimisation Software-as-a-Service (OSaaS) platform that allows businesses to improve their productivity while reducing operating costs and their environmental footprint. Thi ....Stable on-demand optimization for workforce and fleet logistics management. This project aims to conceive, develop and deploy innovative methodologies for stable on-demand workforce management and fleet logistics based on advanced decision-support systems. The outcome of this project will provide a new cloud-based real-time Optimisation Software-as-a-Service (OSaaS) platform that allows businesses to improve their productivity while reducing operating costs and their environmental footprint. This is expected to support the manufacturing, retail, delivery and mobile fleets industries.Read moreRead less
Data sharing with strong privacy against inference attacks. This project aims to develop theories and techniques for strong protection of personal information in sharing large datasets such as national health data or census records. It intends to achieve this through developing new information theoretic methods for synthesising datasets with proven high fidelity and protection against re-identification and inference attacks, where attackers try to learn probability of sensitive data. The expecte ....Data sharing with strong privacy against inference attacks. This project aims to develop theories and techniques for strong protection of personal information in sharing large datasets such as national health data or census records. It intends to achieve this through developing new information theoretic methods for synthesising datasets with proven high fidelity and protection against re-identification and inference attacks, where attackers try to learn probability of sensitive data. The expected outcomes are algorithms for public and private sector data curators to dial up or down their data access arrangements based on privacy risks and fidelity demands linked with different data types and uses. This project intends to enable Australians to securely benefit from valuable data in decision making.Read moreRead less