ARC Research Network in Enterprise Information Infrastructure. EII targets consolidated research towards the comprehensive development & establishment of advanced information infrastructures. Its prime purpose is to provide a forum for intellectual exchange by diverse yet complementary research groups, to address the fundamental research problems faced by scientific & business communities when dealing with deployment of information technology to globally distributed, and data intensive environme ....ARC Research Network in Enterprise Information Infrastructure. EII targets consolidated research towards the comprehensive development & establishment of advanced information infrastructures. Its prime purpose is to provide a forum for intellectual exchange by diverse yet complementary research groups, to address the fundamental research problems faced by scientific & business communities when dealing with deployment of information technology to globally distributed, and data intensive environments. EII will address 3 tightly coupled research themes: Ability to interoperate across existing heterogenous platforms & applications; Efficient processing of very large data sets; Technology adoption & impact. Generic results will be applicable to e-science and large business information systems installations.Read moreRead less
Data-driven water quality treatment management decision support system. Data-driven water quality treatment management decision support system. This project aims to develop a robust decision support system to predict manganese and the character and concentration of dissolved organic matter in drinking water reservoirs, using intelligent algorithms and data collected through remote autonomous instrumentation. These predicted water quality parameters could be used as model input variables to provi ....Data-driven water quality treatment management decision support system. Data-driven water quality treatment management decision support system. This project aims to develop a robust decision support system to predict manganese and the character and concentration of dissolved organic matter in drinking water reservoirs, using intelligent algorithms and data collected through remote autonomous instrumentation. These predicted water quality parameters could be used as model input variables to provide real-time decisions for plant operators on the required treatment regime for incoming raw water, and advise them on the optimal reservoir offtake depth. This will potentially minimise treatment costs and health risks for consumers. The ultimate goal is to significantly enhance current water supply management practices.Read moreRead less
Enhanced Humans, Robotics and the Future of Work. The aim of the project is to generate new and powerful understandings of the social consequences of robotics and artificial intelligence. The project aims to develop an understanding of technologically-mediated mobility processes and test their capacity to address such issues as social futures and the sorts of digital skills that Australians will require for future jobs. It plans to use social theory to explore technological scenarios and hypothe ....Enhanced Humans, Robotics and the Future of Work. The aim of the project is to generate new and powerful understandings of the social consequences of robotics and artificial intelligence. The project aims to develop an understanding of technologically-mediated mobility processes and test their capacity to address such issues as social futures and the sorts of digital skills that Australians will require for future jobs. It plans to use social theory to explore technological scenarios and hypotheses concerning possible societal futures in Australia and beyond. Project outcomes may inform social science and contribute to worldwide efforts to solve global policy problems from work and unemployment to lifestyle change.Read moreRead less
Developing a national rural volunteering roadmap. This project aims to investigate the challenges affecting rural volunteering in Australia. Conducting a national analysis of volunteering demand and supply, this project expects to generate new interdisciplinary knowledge of the structural, demographic, organisational and personal factors affecting the sustainability of rural volunteering. Expected outcomes of this project include a world-first index of volunteering vulnerabilities and a spatial ....Developing a national rural volunteering roadmap. This project aims to investigate the challenges affecting rural volunteering in Australia. Conducting a national analysis of volunteering demand and supply, this project expects to generate new interdisciplinary knowledge of the structural, demographic, organisational and personal factors affecting the sustainability of rural volunteering. Expected outcomes of this project include a world-first index of volunteering vulnerabilities and a spatial map of volunteering unevenness, leading to the development of an evidence-based National Rural Volunteering Roadmap (2025-2035), which will guide our volunteering peak body partners, governments and rural communities to plan for and support rural volunteering over the longer-term.Read moreRead less
Assessing Infrastructure And Contextual Factors In Relation To Cardiometabolic Outcomes In Remote Indigenous Communities: Evidence For Policy Change
Funder
National Health and Medical Research Council
Funding Amount
$1,113,005.00
Summary
Cardiometabolic diseases account for the major burden of morbidity and mortality for Indigenous populations. This study with 75 remote Indigenous communities will be the first to evaluate features of their social, built and physical environments in relation to cardiometabolic risks and diseases. Policy-relevant results will identify features of environments to be targeted to reduce chronic diseases for Indigenous peoples in remote communities.
Supporting families: Horizontal and vertical equity in the Australian tax-benefit system in historical and comparative perspectives. Tax benefit reform and equity between different groups are key policy concerns currently and for the foreseeable future. The tax-benefit system is under review, and the Global Financial Crisis has prompted debate on how tax-benefit policy can stimulate the economy while maintaining equity and promoting social inclusion. This project will put debate about tax-benef ....Supporting families: Horizontal and vertical equity in the Australian tax-benefit system in historical and comparative perspectives. Tax benefit reform and equity between different groups are key policy concerns currently and for the foreseeable future. The tax-benefit system is under review, and the Global Financial Crisis has prompted debate on how tax-benefit policy can stimulate the economy while maintaining equity and promoting social inclusion. This project will put debate about tax-benefit reforms and deficit reduction strategies in historical and an international comparative context. Results generated will provide a rich and comprehensive framework for assessing current and future policy options in areas that are closely aligned with the designated national research priority goals of a healthy start to life and strengthening Australia's economic and social fabric.Read moreRead less
An exploration of the frequency, outcomes, enablers and constraints of bystander anti-racism. Bystander anti-racism involves ordinary people speaking up and taking prosocial action when witnessing racism. This project will develop empirical understandings of this underexplored, yet potentially powerful, form of anti-racism, including its frequency, the outcome of action, and factors that enable and constrain bystander anti-racism.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE180100094
Funder
Australian Research Council
Funding Amount
$1,361,651.00
Summary
Linked semantic platforms for social and physical infrastructure and wellbeing. This project aims to develop the next generation of decision-support tools for interdisciplinary research on critical public policy issues. This project will use linked open data, knowledge graphs and collaborations across existing research infrastructure projects. Expected outcomes include inter-operability across major social science databases and new analytical tools that will transform the research capabilities f ....Linked semantic platforms for social and physical infrastructure and wellbeing. This project aims to develop the next generation of decision-support tools for interdisciplinary research on critical public policy issues. This project will use linked open data, knowledge graphs and collaborations across existing research infrastructure projects. Expected outcomes include inter-operability across major social science databases and new analytical tools that will transform the research capabilities for evidence-based policy making. Outcomes are expected on sustainable built environments and transport in urban and regional communities, social care and health in the community, work and wellbeing, digital inclusion and digital health.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
Time scarcity in Australian families: another inequity? The globalising economy, financial uncertainties and major democratic changes are all affecting family time. Parent's time is a resource on which children depend, but time scarcity has become a widespread problem for families. Our study helps focus policy attention on this problem. We deliver new methods to assess the experience of time scarcity in families, identifying those who are most likely to experience it, where they live, and how ti ....Time scarcity in Australian families: another inequity? The globalising economy, financial uncertainties and major democratic changes are all affecting family time. Parent's time is a resource on which children depend, but time scarcity has become a widespread problem for families. Our study helps focus policy attention on this problem. We deliver new methods to assess the experience of time scarcity in families, identifying those who are most likely to experience it, where they live, and how time scarcity affects them. This evidence can help support policy approaches to time, benefiting the twin economic and social policy goals of encouraging workforce participation while supporting the health and wellbeing of families.Read moreRead less