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
Rebuilding Life After Migration for Young Refugees and Migrants . This project aims to provide a comprehensive understanding of refugee and migrant youth settlement experiences and its impact on psychological wellbeing and the role of support services. It will focus on the policies and practices that shape the settlement experiences of refugee and migrant youth which promote their psychological wellbeing. The study will provide settlement sectors and service providers with crucial new knowledge ....Rebuilding Life After Migration for Young Refugees and Migrants . This project aims to provide a comprehensive understanding of refugee and migrant youth settlement experiences and its impact on psychological wellbeing and the role of support services. It will focus on the policies and practices that shape the settlement experiences of refugee and migrant youth which promote their psychological wellbeing. The study will provide settlement sectors and service providers with crucial new knowledge of how settlement policies and practices can foster refugee and migrant psychological wellbeing. Outcomes of this project will include the development of research-based guides to good policy and practice in settlement services to improve psychological wellbeing outcomes for immigrant communities.Read moreRead less
How parents manage climate anxiety: coping and hoping for the whole family. This project studies how Australian parents manage climate anxiety for themselves and their families. Using mixed-methods/mixed-media approaches, it examines whether an increase in climate disasters is accelerating the spread of collective anxiety amongst families, how parents manage this anxiety for their children and partners, and if there are associated mental health burdens and gendered inequities in this management. ....How parents manage climate anxiety: coping and hoping for the whole family. This project studies how Australian parents manage climate anxiety for themselves and their families. Using mixed-methods/mixed-media approaches, it examines whether an increase in climate disasters is accelerating the spread of collective anxiety amongst families, how parents manage this anxiety for their children and partners, and if there are associated mental health burdens and gendered inequities in this management. It also looks at climate anxiety management across generations and climate histories, drawing out pessimistic/optimistic narratives about the future to enable action, resilience, and hope. It will produce an evidence base and photo-voice/documentary resources to help parents and support organisations combat climate anxiety.Read moreRead less
Mid-Career Industry Fellowships - Grant ID: IM230100745
Funder
Australian Research Council
Funding Amount
$1,050,633.00
Summary
New models of replacement care for working carers. This project aims to investigate the replacement care arrangements that will support different groups of informal carers of a person with a disability, chronic illness or older relative to participate in paid work in contemporary Australia. Using mixed methods, field trials, and an innovative conceptual approach focused on time synchronicity, it will generate critical new knowledge about the characteristics and effectiveness of sustainable repla ....New models of replacement care for working carers. This project aims to investigate the replacement care arrangements that will support different groups of informal carers of a person with a disability, chronic illness or older relative to participate in paid work in contemporary Australia. Using mixed methods, field trials, and an innovative conceptual approach focused on time synchronicity, it will generate critical new knowledge about the characteristics and effectiveness of sustainable replacement care models that enable carers to enter or increase paid work and maintain work/care balance. Significant benefits include improving aged, disability and carer service models and policies to enhance women’s workforce participation, boost national productivity, and improve carer wellbeing.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
Discovery Early Career Researcher Award - Grant ID: DE200101310
Funder
Australian Research Council
Funding Amount
$426,918.00
Summary
Dimension-reduced Reinforcement Learning for Large-scale Fleet Management. This project aims to address the problems in large-scale fleet management to ensure the efficiency of tomorrow’s transportation models, such as on-demand ride-hailing and mobility-as-a-service. The expected outcomes of this project include improved techniques for optimising the utility of large fleets of vehicles, and particularly robust dimension-reduced reinforcement learning algorithms that are capable of handling the ....Dimension-reduced Reinforcement Learning for Large-scale Fleet Management. This project aims to address the problems in large-scale fleet management to ensure the efficiency of tomorrow’s transportation models, such as on-demand ride-hailing and mobility-as-a-service. The expected outcomes of this project include improved techniques for optimising the utility of large fleets of vehicles, and particularly robust dimension-reduced reinforcement learning algorithms that are capable of handling the complex dynamics of supply and demand in transportation. The results should advance both research and technology in academia and the transportation industry and will also provide significant benefits to Australia and the international community by enhancing the energy-efficiency of and access to the mobility of the future.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210100274
Funder
Australian Research Council
Funding Amount
$415,675.00
Summary
Graph Neural Networks for Efficient Decision-making towards Future Grids. This project aims to develop a breakthrough framework for decision-focused learning by integrating explainable graph neural networks and efficient computational methods. It expects to create new methodologies of graph representation learning for unlocking data insight with spatiotemporal knowledge while to build new accelerated optimisation theories for speeding up decision-focused learning model. The expected outcomes wil ....Graph Neural Networks for Efficient Decision-making towards Future Grids. This project aims to develop a breakthrough framework for decision-focused learning by integrating explainable graph neural networks and efficient computational methods. It expects to create new methodologies of graph representation learning for unlocking data insight with spatiotemporal knowledge while to build new accelerated optimisation theories for speeding up decision-focused learning model. The expected outcomes will advance big spatiotemporal data analytics and nonlinear optimisation theory for solving decision-making tasks towards a future energy system. This should promote the Australian power industry transition to a sustainable future grid based on a digitalisation approach to efficient energy management against climate changes.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE200100245
Funder
Australian Research Council
Funding Amount
$410,518.00
Summary
Bayesian nonparametric learning for practical sequential decision making. This project aims to develop new methods to support practical sequential decision making under uncertainty. It expects to pave the way for the next generation of sequential decision making uniquely characterised by uncertainty modelling, high sample-efficiency, efficient environment change adaptation, and automatical reward function learning. The expected outcomes will advance machine learning knowledge with a new deep lea ....Bayesian nonparametric learning for practical sequential decision making. This project aims to develop new methods to support practical sequential decision making under uncertainty. It expects to pave the way for the next generation of sequential decision making uniquely characterised by uncertainty modelling, high sample-efficiency, efficient environment change adaptation, and automatical reward function learning. The expected outcomes will advance machine learning knowledge with a new deep learning schema for data modelling and sequential decision-making knowledge with a novel deep reinforcement learning methodology. These developments have immediate applications in autonomous vehicles, advanced manufacturing, and dynamic pricing, with scientific, economic, and social benefits for Australia and the world.Read moreRead less
Challenging the neoliberal critique of deficit spending and public debt. This project aims to analyse the rhetoric of balanced budgets by examining its intellectual and political history and revisiting counterarguments. Expected outcomes from the project will include insights into the development of rhetoric based on analysis of archival, textual and interview-based data . Findings from the project will be published in online fora with wide readership in national and international policy circle ....Challenging the neoliberal critique of deficit spending and public debt. This project aims to analyse the rhetoric of balanced budgets by examining its intellectual and political history and revisiting counterarguments. Expected outcomes from the project will include insights into the development of rhetoric based on analysis of archival, textual and interview-based data . Findings from the project will be published in online fora with wide readership in national and international policy circles. The project has the capacity to provide insights into and benefits for policy discourse on government deficit-spending and public debt.Read moreRead less
In it to win it: an interdisciplinary investigation of sports betting. This project aims to better understand how young adults use, communicate about and experience mobile phone sports betting applications. Gambling generates significant health and social harms in Australia. Yet there is little research on the use of betting apps, even though sports betting is the fastest growing segment of the gambling market. This project intends to examine how use of sports betting apps is becoming establishe ....In it to win it: an interdisciplinary investigation of sports betting. This project aims to better understand how young adults use, communicate about and experience mobile phone sports betting applications. Gambling generates significant health and social harms in Australia. Yet there is little research on the use of betting apps, even though sports betting is the fastest growing segment of the gambling market. This project intends to examine how use of sports betting apps is becoming established as everyday social practice normalising problem gambling. The findings will enhance understanding of the social contexts of sports betting, and inform gambling policy and programs leading to better health and social outcomes.Read moreRead less