Assessing the national productivity impacts of chronic ill health. The project aims to address one of the biggest gaps in health and productivity research by designing a novel composite national metric that will rank lost productivity due to chronic illness The project brings together tax/transfer modelling, health modelling and epidemiological modelling specialists to develop a highly innovative microsimulation model: Health&WorkMOD to then quantify the costs of health-related productivity loss ....Assessing the national productivity impacts of chronic ill health. The project aims to address one of the biggest gaps in health and productivity research by designing a novel composite national metric that will rank lost productivity due to chronic illness The project brings together tax/transfer modelling, health modelling and epidemiological modelling specialists to develop a highly innovative microsimulation model: Health&WorkMOD to then quantify the costs of health-related productivity loss. The proposed model, an international first, will be a powerful tool to comprehensively model the cost impacts of illness and simulate policy options related to health and productivity. This will provide answers to critical policy questions for government with potential significant economic benefits.Read moreRead less
Promoting Child and Carer Wellbeing and Placement Stability in Kinship Care. Kinship care is the fastest growing out-of-home care placement in Australia, yet least supported. This project aims to implement and evaluate an attachment and trauma-based program for kinship carers, explore its suitability for cultural adaptation for Indigenous families and co-design practical resources to promote program sustainability and trauma-informed practice. This project is Australia’s first randomised trial o ....Promoting Child and Carer Wellbeing and Placement Stability in Kinship Care. Kinship care is the fastest growing out-of-home care placement in Australia, yet least supported. This project aims to implement and evaluate an attachment and trauma-based program for kinship carers, explore its suitability for cultural adaptation for Indigenous families and co-design practical resources to promote program sustainability and trauma-informed practice. This project is Australia’s first randomised trial of a tailored program for kinship carers and expects to generate vital knowledge on evidence-based support. Via implementing an innovative program for kinship carers in statutory child protection, this project should build capacity for research-based practice and benefit family wellbeing and placement outcomes in kinship care.Read moreRead less
The Intended and Unintended Impact of Policy for Adaptive Policy Management. The project aims to advance knowledge about the intended and unintended consequences of policy on health and well-being. It expects to innovate through new methods and novel data to integrate policy evaluation into the policy cycle in a timely fashion to prevent harm from occurring. It also leverages technology to track policy effects in real time. Expected outcomes of this project include new knowledge and enhanced pol ....The Intended and Unintended Impact of Policy for Adaptive Policy Management. The project aims to advance knowledge about the intended and unintended consequences of policy on health and well-being. It expects to innovate through new methods and novel data to integrate policy evaluation into the policy cycle in a timely fashion to prevent harm from occurring. It also leverages technology to track policy effects in real time. Expected outcomes of this project include new knowledge and enhanced policy infrastructure using new methods and interdisciplinary approaches. Significant benefits include improvements to: (1) policy management by government departments; (2) the health and wellbeing of the Australians they serve; (3) our Partners' capacity to consult governments on how technology can assist policy management. Read moreRead less
The impacts of industry restructuring. This project aims to shed light on how Australia's workforce and communities will engage with the world of work in a future shaped by new business models and disruptive technologies. Using the closure of the automotive industry as a lens into this topic, the project will provide new insights into how displaced workers find work, use services, relate to others, and reshape their futures. It sheds light on the community-wide impacts of restructuring, providin ....The impacts of industry restructuring. This project aims to shed light on how Australia's workforce and communities will engage with the world of work in a future shaped by new business models and disruptive technologies. Using the closure of the automotive industry as a lens into this topic, the project will provide new insights into how displaced workers find work, use services, relate to others, and reshape their futures. It sheds light on the community-wide impacts of restructuring, providing new perspectives on how local resources and public policies best advance the process of adjustment.Read moreRead less
Fostering school attendance for students in Out-of-Home Care. This project aims to investigate why children and young people in Out-Of-Home-Care in Australia are absent from school far more than their peers. The project expects to generate new knowledge about the reasons for their absences and to develop solutions to improve attendance through: children’s own voices; detailed absence data; policy audit; and case studies of promising practice. Expected outcomes include a comprehensive conceptuali ....Fostering school attendance for students in Out-of-Home Care. This project aims to investigate why children and young people in Out-Of-Home-Care in Australia are absent from school far more than their peers. The project expects to generate new knowledge about the reasons for their absences and to develop solutions to improve attendance through: children’s own voices; detailed absence data; policy audit; and case studies of promising practice. Expected outcomes include a comprehensive conceptualisation of absences including those triggered by schools or the care context; and an evidence-informed, child-centred framework to enable attendance and, thereby, improved educational outcomes. This should provide significant social and economic benefits both for children in care and for the community. Read moreRead less
ARC Centre of Excellence for Automated Decision-Making and Society. The ARC CoE for Automated Decision-Making and Society aims to create the knowledge and strategies necessary for responsible, ethical, and inclusive automated decision-making (ADM). ADM applies new technologies from machine learning to blockchains across a wide range of social sectors; it carries great potential and risks serious failures. The Centre combines social and technological disciplines in an international industry, rese ....ARC Centre of Excellence for Automated Decision-Making and Society. The ARC CoE for Automated Decision-Making and Society aims to create the knowledge and strategies necessary for responsible, ethical, and inclusive automated decision-making (ADM). ADM applies new technologies from machine learning to blockchains across a wide range of social sectors; it carries great potential and risks serious failures. The Centre combines social and technological disciplines in an international industry, research and civil society network. It will formulate world-leading policy and practice; inform public debate; and train a new generation of researchers and practitioners. Expected benefits include reduced risks and improved outcomes in the priority domains of news and media, transport, social services and health.Read moreRead less
Personalised Learning for Per-pixel Prediction Tasks in Image Analysis. AI-assisted image segmentation & synthesis are very challenging and usually require pixel-level labelling (per-pixel prediction) that is costly to obtain. The small amount of labels makes it difficult to train an “optimal” unified model for varied data as conventional methods did. This project aims to develop a new paradigm “personalised learning” to tackle this problem, where each image could be dealt with a model tailored ....Personalised Learning for Per-pixel Prediction Tasks in Image Analysis. AI-assisted image segmentation & synthesis are very challenging and usually require pixel-level labelling (per-pixel prediction) that is costly to obtain. The small amount of labels makes it difficult to train an “optimal” unified model for varied data as conventional methods did. This project aims to develop a new paradigm “personalised learning” to tackle this problem, where each image could be dealt with a model tailored to individual characteristics. The success of this project could significantly advance the fundamental research in image analysis. Expected outcomes include new knowledge and algorithms for image analysis, which could benefit fields like biology and archaeology, where labeled images are hard to attain and scarce.Read moreRead less