Early Career Industry Fellowships - Grant ID: IE230100675
Funder
Australian Research Council
Funding Amount
$443,486.00
Summary
Improving carer’s quality of life and quality of care. This project will improve the ability of Carers Australia and the Department of Social Services to evaluate and enhance the success of services they implement to support Australia’s 2.7 million unpaid carers. Currently little is known about which support and services most help improve quality of life for carers, and the quality of care they provide, despite strong evidence of a quality of life crisis amongst carers. By collecting cross secti ....Improving carer’s quality of life and quality of care. This project will improve the ability of Carers Australia and the Department of Social Services to evaluate and enhance the success of services they implement to support Australia’s 2.7 million unpaid carers. Currently little is known about which support and services most help improve quality of life for carers, and the quality of care they provide, despite strong evidence of a quality of life crisis amongst carers. By collecting cross sectional and longitudinal data to build on an existing data set, this project will enable evidence-based design and delivery of services that support carers socially, emotionally and financially while enabling them to provide high quality care.Read moreRead less
Examining multi-level Information Technology (IT) project alignment in government services: the case of contracted employment services. Improved Information Technology (IT) alignment is essential for the delivery of government services within a complex public-private, inter-organisational environment. This project will investigate the extent to which well-aligned IT support systems contribute positively to the efficient and effective delivery of contracted employment services.
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
Industrial Transformation Training Centres - Grant ID: IC170100030
Funder
Australian Research Council
Funding Amount
$4,133,659.00
Summary
ARC Training Centre in Cognitive Computing for Medical Technologies. The ARC Training Centre in Cognitive Computing for Medical Technologies aims to create a workforce that is expert in developing, applying and interrogating cognitive computing technologies in data-intensive medical contexts. This will facilitate the next generation of data-driven and machine learning-based medical technologies. The Centre will provide a world-class industry-driven research training environment for PhD students ....ARC Training Centre in Cognitive Computing for Medical Technologies. The ARC Training Centre in Cognitive Computing for Medical Technologies aims to create a workforce that is expert in developing, applying and interrogating cognitive computing technologies in data-intensive medical contexts. This will facilitate the next generation of data-driven and machine learning-based medical technologies. The Centre will provide a world-class industry-driven research training environment for PhD students and postdoctoral researchers. These researchers will lead the medical technology industry into a new era of data-driven personalised and precision medical devices and applications. The Centre will result in the development of capabilities in the core technologies of machine learning and the practical application of cognitive computing in the area of health.Read moreRead less