Computational Mechanisms of Online Attention Markets. The internet has operated as an major exchange of information and attention for the past few decades, yet surprisingly little is known about how individual choices and collective attention interact, let alone about how different parties can influence or control it. This project aims to uncover the mathematical underpinnings between individual actions and collective trends in online attention market, design computational methods for estimating ....Computational Mechanisms of Online Attention Markets. The internet has operated as an major exchange of information and attention for the past few decades, yet surprisingly little is known about how individual choices and collective attention interact, let alone about how different parties can influence or control it. This project aims to uncover the mathematical underpinnings between individual actions and collective trends in online attention market, design computational methods for estimating and influencing attention allocation, and enable applications where content consumers, producers, hosting platforms and regulatory bodies are each empowered with their share of influence in the attention market.Read moreRead less
SenShaMart: A Trusted Internet of Things Marketplace for Sensor Sharing. This project aims to devise a novel Internet of Things (IoT) sensor sharing marketplace that permits IoT applications to discover, integrate, and pay for any IoT sensor data that is made available by other parties. The project will devise highly-scalable sensor classification, query processing, and transactions solutions and incorporate them in a pair of novel blockchains that work in tandem to securely manage all the infor ....SenShaMart: A Trusted Internet of Things Marketplace for Sensor Sharing. This project aims to devise a novel Internet of Things (IoT) sensor sharing marketplace that permits IoT applications to discover, integrate, and pay for any IoT sensor data that is made available by other parties. The project will devise highly-scalable sensor classification, query processing, and transactions solutions and incorporate them in a pair of novel blockchains that work in tandem to securely manage all the information and contracts needed by IoT applications to discover, integrate, pay, and use sensors provided by another parties. These IoT advancements will provide significant economic, environmental, and social benefits via making low-cost and immediate sensing available across the world.Read moreRead less
Reliable and Seamless Service Provisioning in Mobile Edge Computing . This project aims to develop enabling technologies to provide reliable and seamless services in mobile edge computing environments. This project will develop advanced algorithms with performance guarantees and efficient mechanisms for such service provisioning. The project expects to lay theoretical foundations and generate new knowledge for the provisioning of reliability-aware and mobility-aware services in mobile edge compu ....Reliable and Seamless Service Provisioning in Mobile Edge Computing . This project aims to develop enabling technologies to provide reliable and seamless services in mobile edge computing environments. This project will develop advanced algorithms with performance guarantees and efficient mechanisms for such service provisioning. The project expects to lay theoretical foundations and generate new knowledge for the provisioning of reliability-aware and mobility-aware services in mobile edge computing. The expected outcome of the project is a set of solutions to the myriad of services relying on mobile edge computing including e-Health, autonomous vehicles, and Internet of Things. This project will develop key fundamental technologies to improve Australia’s standing in the international research community.
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A community based social identity approach to loneliness. Loneliness across Australia is a deep concern. Social prescribing is a novel community-based approach to managing loneliness, however it is unclear when and in what circumstances it is effective. This project aims to test a social identity approach to loneliness, incorporating longitudinal, cross-sectional, and experimental methods to understand how best to engage isolated people in group programs. The expected benefits of this project ar ....A community based social identity approach to loneliness. Loneliness across Australia is a deep concern. Social prescribing is a novel community-based approach to managing loneliness, however it is unclear when and in what circumstances it is effective. This project aims to test a social identity approach to loneliness, incorporating longitudinal, cross-sectional, and experimental methods to understand how best to engage isolated people in group programs. The expected benefits of this project are to produce a validated social prescribing model that can be implemented in multiple settings across Australia in order to reduce loneliness, strengthen communities, and guide more appropriate uses of health services.Read moreRead less
Improving Indigenous health and wellbeing over the family life course. Improving Indigenous health and wellbeing over the family life course. This project aims to reduce Indigenous health inequalities, a major social and economic problem, by improving the policy relevant evidence base on the determinants of Indigenous health and wellbeing. This project will compare the impact of the family life course on the health and wellbeing of Indigenous and non-Indigenous mothers and children. It will use ....Improving Indigenous health and wellbeing over the family life course. Improving Indigenous health and wellbeing over the family life course. This project aims to reduce Indigenous health inequalities, a major social and economic problem, by improving the policy relevant evidence base on the determinants of Indigenous health and wellbeing. This project will compare the impact of the family life course on the health and wellbeing of Indigenous and non-Indigenous mothers and children. It will use survey data that follows them over time to: 1) identify family structures that enhance or harm health and wellbeing, and; 2) track changes in health and wellbeing before, during and after family transitions (i.e. births, relationship changes). Anticipated results are better targeted policy interventions to reduce Indigenous health inequalities.Read moreRead less
COVID-19, health and labour market marginalisation . This project aims to investigate the impact of the COVID-19 pandemic on labour market marginalisation in Australia. It seeks to generate new insights about whether the global economic shock had a disproportionately negative effect on the employment circumstances of working-age Australians with mental health and musculoskeletal/pain conditions, which are the leading causes of disability in Australia. The expected outcomes of this project includ ....COVID-19, health and labour market marginalisation . This project aims to investigate the impact of the COVID-19 pandemic on labour market marginalisation in Australia. It seeks to generate new insights about whether the global economic shock had a disproportionately negative effect on the employment circumstances of working-age Australians with mental health and musculoskeletal/pain conditions, which are the leading causes of disability in Australia. The expected outcomes of this project include improved policy responses to direct effective support and assistance to those with the greatest need, and new resources for the research community. This should lead to significant benefits through reduced inequalities and improved social, economic and workforce outcomes for vulnerable Australians.Read moreRead less
Beyond Directional Motivated Reasoning: Social Identity and Partisan Truth. This project aims to develop and test a new model of psychological processes by which people come to understand information as true or not. This project expects to generate advances in knowledge about how different groups produce opposing understandings of the world ("partisan truth"), despite equally rational and unbiased psychological processes. Expected outcomes include the development of a single framework to explain ....Beyond Directional Motivated Reasoning: Social Identity and Partisan Truth. This project aims to develop and test a new model of psychological processes by which people come to understand information as true or not. This project expects to generate advances in knowledge about how different groups produce opposing understandings of the world ("partisan truth"), despite equally rational and unbiased psychological processes. Expected outcomes include the development of a single framework to explain current piecemeal findings, expanding the analysis to current and socially-urgent partisan debates over truth (eg, vaccine hesitancy). Significant benefits include advancing knowledge and the development of guidelines to aid policy-makers and educators in the ultimate reduction of social discord caused by partisan truth.Read moreRead less
Designing Gender Equality into the Future of Work. This project aims to investigate how women and men understand and experience the changing nature of work and their hopes and fears for the future. This project expects to generate new knowledge about the gendered dimensions of workplace change using an innovative and engaged research design that focuses on retail and the law, two areas where women are increasingly dominant, but which are located at distinct ends of the labour market. Expected ....Designing Gender Equality into the Future of Work. This project aims to investigate how women and men understand and experience the changing nature of work and their hopes and fears for the future. This project expects to generate new knowledge about the gendered dimensions of workplace change using an innovative and engaged research design that focuses on retail and the law, two areas where women are increasingly dominant, but which are located at distinct ends of the labour market. Expected outcomes of this project include an enhanced and coordinated capacity to build gender equality into the future of work. This should provide significant benefits such as better living standards for individuals and families and improved profitability and productivity for businesses. Read moreRead less
Conditional welfare: A comparative case study of income management policies. Using an innovative methodology that incorporates a cross-national comparison of policy design and practice, this project aims to explore the effects of income management policies. The research will provide new insights into compulsory income management in Australia, and its more recent introduction in New Zealand. The expected outcomes will provide benefits, such as a richer understanding of human agency, autonomy and ....Conditional welfare: A comparative case study of income management policies. Using an innovative methodology that incorporates a cross-national comparison of policy design and practice, this project aims to explore the effects of income management policies. The research will provide new insights into compulsory income management in Australia, and its more recent introduction in New Zealand. The expected outcomes will provide benefits, such as a richer understanding of human agency, autonomy and social identity in the context of social policy.Read moreRead less
Unifying Foundations for Intelligent Agents. This project aims to drive forward the development of rigorous foundations for intelligent agents. The agent framework, the expected utility principle, sequential decision theory, and the information-theoretic foundations of inductive reasoning and machine learning have already brought significant order into the previously heterogeneous scattered field of artificial intelligence. This project aims to investigate an information-theoretic approach towar ....Unifying Foundations for Intelligent Agents. This project aims to drive forward the development of rigorous foundations for intelligent agents. The agent framework, the expected utility principle, sequential decision theory, and the information-theoretic foundations of inductive reasoning and machine learning have already brought significant order into the previously heterogeneous scattered field of artificial intelligence. This project aims to investigate an information-theoretic approach towards a unifying foundation for intelligent agents, which has recently spawned impressive applications. The theory is expected to provide a gold standard and valuable guidance for researchers working on smart software.Read moreRead less