Engaging Outsiders in Sport: Transforming Sport Event Legacy Planning . The project aims to investigate intersectional inequities in sport participation for girls, women and non-binary people in Queensland by working with them to envision legacies for the 2032 Olympic and Paralympic Games. Using a co-creation approach this project expects to identify how and what benefits can be achieved through legacy planning that engages with end-users who have historically been marginalised in sport. In doin ....Engaging Outsiders in Sport: Transforming Sport Event Legacy Planning . The project aims to investigate intersectional inequities in sport participation for girls, women and non-binary people in Queensland by working with them to envision legacies for the 2032 Olympic and Paralympic Games. Using a co-creation approach this project expects to identify how and what benefits can be achieved through legacy planning that engages with end-users who have historically been marginalised in sport. In doing so, the expected outcomes of the project include the development of evidence-based resources to improve engagement in sport and to build capacity and sustain meaningful change for communities and organisations.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE230100140
Funder
Australian Research Council
Funding Amount
$436,968.00
Summary
Improving the Outcomes of Indigenous Boarding School Graduates. This project generates evidence that is urgently needed to improve Indigenous Australian boarding school outcomes, by examining the life paths and experiences of recent graduates. It draws on rich qualitative data regarding Indigenous graduate experiences, to examine practices that affect retention, attainment, post-school pathways and cultural wellbeing. This project expands a novel Indigenous research method, photoyarn, to amplify ....Improving the Outcomes of Indigenous Boarding School Graduates. This project generates evidence that is urgently needed to improve Indigenous Australian boarding school outcomes, by examining the life paths and experiences of recent graduates. It draws on rich qualitative data regarding Indigenous graduate experiences, to examine practices that affect retention, attainment, post-school pathways and cultural wellbeing. This project expands a novel Indigenous research method, photoyarn, to amplify the voices of Indigenous participants using digital co-research processes. Providing first-hand evidence to inform Indigenous education policy, this project also produces best practice guidelines for Australia's boarding school industry, toward closing the gap in Indigenous boarding graduate outcomes.Read moreRead less
Diagnosis and prediction of business process deviances. This project aims to develop an innovative approach based on process execution semantics, to analyse event data logged by IT systems in order to diagnose and predict business process deviance. Anticipated outcomes include novel business intelligence algorithms producing deviance diagnostics, predictions and recommendations and exposing results via interactive visual analytics. The outcomes are expected to aid process workers in steering bus ....Diagnosis and prediction of business process deviances. This project aims to develop an innovative approach based on process execution semantics, to analyse event data logged by IT systems in order to diagnose and predict business process deviance. Anticipated outcomes include novel business intelligence algorithms producing deviance diagnostics, predictions and recommendations and exposing results via interactive visual analytics. The outcomes are expected to aid process workers in steering business operations towards consistent and compliant outcomes and higher performance, and assist analysts and auditors to explain deviant operations. This should significantly benefit industries such as healthcare, insurance, retail and the government where compliance and integrity management are imperative.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE200101465
Funder
Australian Research Council
Funding Amount
$419,498.00
Summary
Minimising Human Efforts to Fight Fake News and Restore the Public Trust. Our modern society is struggling with an unprecedented amount of online fake news, which is recently driven by misused artificial intelligence (AI) technologies. This project aims to build the first real-time system integrating algorithmic models and human validators to counter such falsehoods, especially those AI-fabricated false stories. This project expects to deliver a series of cost-effective and streaming methods emp ....Minimising Human Efforts to Fight Fake News and Restore the Public Trust. Our modern society is struggling with an unprecedented amount of online fake news, which is recently driven by misused artificial intelligence (AI) technologies. This project aims to build the first real-time system integrating algorithmic models and human validators to counter such falsehoods, especially those AI-fabricated false stories. This project expects to deliver a series of cost-effective and streaming methods empowering a Web-based observatory dashboard of fake news propagation. This achieves significant benefits for media organisations, governments, the public, and academia via timely alerts, data-journalism reports, and novel data visualisations of social media landscape to distinguish between legitimate and deceptive contents.Read moreRead less
Challenging big data for scalable, robust and real-time recommendations. With the advent of big data era, recommender systems are facing unprecedented challenges with respect to the four dimensions of big data: big volume, low veracity, high velocity and high variety. This project aims to develop a new generation of cost-effective techniques for scalable, robust and real-time recommendations utilising big data. This project aims to address these challenges to achieve scalable, robust and real-ti ....Challenging big data for scalable, robust and real-time recommendations. With the advent of big data era, recommender systems are facing unprecedented challenges with respect to the four dimensions of big data: big volume, low veracity, high velocity and high variety. This project aims to develop a new generation of cost-effective techniques for scalable, robust and real-time recommendations utilising big data. This project aims to address these challenges to achieve scalable, robust and real-time recommendations. This project will devise a series of cost-effective machine learning methods and schemes to deliver an end-to-end recommender framework. This project has the potential to significantly reduce the energy consumption of large-scale recommender systems as well as facilitating an increase in the use of recommendation applications for big data.Read moreRead less
Privacy-Aware and Personalised Explanation Overlays for Recommender Systems. AI-powered recommender systems provide recommendations for daily lives, but they need to be legally interpretable and explainable. This project aims to transform existing black-box recommender models into transparent and trustworthy decision-support systems. The resulting tools will offer granular, explorable rationales for the recommendations in real time, creating greater public confidence while advancing the field. ....Privacy-Aware and Personalised Explanation Overlays for Recommender Systems. AI-powered recommender systems provide recommendations for daily lives, but they need to be legally interpretable and explainable. This project aims to transform existing black-box recommender models into transparent and trustworthy decision-support systems. The resulting tools will offer granular, explorable rationales for the recommendations in real time, creating greater public confidence while advancing the field. The expected outcomes include graph embedding methods for capturing real-world relationships in all their messiness and complexity. The anticipated contributions include impartial and accountable recommender models that are resistant to adversarial attacks and that slow the spread of misinformation.Read moreRead less
Embedding Enterprise Systems in IoT Fog Networks through Microservices. The project will enable automated re-engineering of enterprise systems, to allow them to reused in Internet-of-Things (IoT) applications. It will support efficient ways in which the core business logic of these large scale and monolithic systems can be extended into resource control and data sensing functions managed through the IoT. The project will develop a novel, fine-grained software architecture style suitable for loca ....Embedding Enterprise Systems in IoT Fog Networks through Microservices. The project will enable automated re-engineering of enterprise systems, to allow them to reused in Internet-of-Things (IoT) applications. It will support efficient ways in which the core business logic of these large scale and monolithic systems can be extended into resource control and data sensing functions managed through the IoT. The project will develop a novel, fine-grained software architecture style suitable for localised IoT execution, through microservices executing autonomously on nodes of IoT fog networks. It will develop new techniques for automated discovery of microservices from enterprise systems and the verification of future-state system execution based on current-state behavioural and other properties such as security.Read moreRead less
Advancing Child and Youth-led Climate Change Education with Country. Climate change education is in its infancy. By co-researching with Indigenous and non-Indigenous children, youth, and Elders across Australia and Canada, this project conceptualises and advances climate change education with Country. Climate change education is not adequately understood within Western science. Western perspectives on climate crises are in deep contrast to Indigenous perspectives enmeshed in continuous storying ....Advancing Child and Youth-led Climate Change Education with Country. Climate change education is in its infancy. By co-researching with Indigenous and non-Indigenous children, youth, and Elders across Australia and Canada, this project conceptualises and advances climate change education with Country. Climate change education is not adequately understood within Western science. Western perspectives on climate crises are in deep contrast to Indigenous perspectives enmeshed in continuous storying with descendants, ancestors, and Country. Collaborating with Elders, this project will generate child and youth-led transcultural curriculum and pedagogical understandings of climate change education with Country. It delivers on the United Nations Convention on Climate Change through corresponding quality education.Read moreRead less
Re-engineering enterprise systems for microservices in the cloud. This project will enable automatic re-engineering of large enterprise applications to run in modern cloud environments as microservices. Microservices are the latest wave of service-based software, capable of exploiting the high performance and third-party integration opportunities made available through the cloud. The project will develop new techniques for analysing enterprise systems code and execution data, and making recommen ....Re-engineering enterprise systems for microservices in the cloud. This project will enable automatic re-engineering of large enterprise applications to run in modern cloud environments as microservices. Microservices are the latest wave of service-based software, capable of exploiting the high performance and third-party integration opportunities made available through the cloud. The project will develop new techniques for analysing enterprise systems code and execution data, and making recommendations for restructuring suitable parts as microservices. These microservices manage individual business objects via sets of lightweight distributed computational operations. The outcomes will support progressive evolution of an enterprise system, into distributed microservices running in public clouds, while still being integrated with "backend" systems.Read moreRead less
The sociology of health data for sexuality and gender diverse people. This project aims to investigate the sociological dimensions of digital health data for sexuality and gender diverse people with complex health needs. It employs qualitative and co-design methods to engage with sexuality and gender diverse people, advocates, clinicians, decision-makers, and health data designers. The project expects to generate much-needed knowledge about the participation of sexuality and gender diverse peopl ....The sociology of health data for sexuality and gender diverse people. This project aims to investigate the sociological dimensions of digital health data for sexuality and gender diverse people with complex health needs. It employs qualitative and co-design methods to engage with sexuality and gender diverse people, advocates, clinicians, decision-makers, and health data designers. The project expects to generate much-needed knowledge about the participation of sexuality and gender diverse people in health data systems, with respect to trust, disclosure, stigma and prejudice. Expected outcomes include insight for enhancing health data systems for sexuality and gender diverse people. This project should provide significant benefits for the promotion of inclusive, safe and useful health data systems.Read moreRead less