Global production networks and worker representation in Myanmar. This project aims to assess the impact of global production networks on worker representation in Myanmar’s garment sector, which is leading the country’s integration into global supply chains at this crucial time in its economic and political development. This project’s findings will be used to theorise how complex interactions between different economic and social actors across geographic scale affect the rights and interests of g ....Global production networks and worker representation in Myanmar. This project aims to assess the impact of global production networks on worker representation in Myanmar’s garment sector, which is leading the country’s integration into global supply chains at this crucial time in its economic and political development. This project’s findings will be used to theorise how complex interactions between different economic and social actors across geographic scale affect the rights and interests of garment workers, and the quality of their employment. This will provide significant benefits that will make an important contribution to scholarly understandings of the impact of labour agency on global production networks and provide a strong evidence base for decision-making by local and international stakeholders.Read moreRead less
ARC Centre of Excellence for Children and Families over the Life Course. The 2020 ARC Centre of Excellence for Children and Families over the Life Course (LCC2020) aims to deliver transformative research and translation to break the cycle of deep and persistent disadvantage for Australians. Critically, LCC2020 will tackle disadvantage in specific context to understand how people negotiate it daily in real places, and how best to design policies and programs that support improved life pathways. B ....ARC Centre of Excellence for Children and Families over the Life Course. The 2020 ARC Centre of Excellence for Children and Families over the Life Course (LCC2020) aims to deliver transformative research and translation to break the cycle of deep and persistent disadvantage for Australians. Critically, LCC2020 will tackle disadvantage in specific context to understand how people negotiate it daily in real places, and how best to design policies and programs that support improved life pathways. By understanding life course contexts much more finely and using new methods and better data to personalise responses to disadvantage, LCC2020 will deliver the evidence, infrastructure, capacity and partnerships to reduce disadvantage and better equip Australian children and families for emerging challenges. Read moreRead less
Stewarding thin markets: improving public sector market effectiveness. This project aims to develop methodologies to identify thin markets in the public service sector. Thin markets, where there are a low number of buyers or low number of sellers, are a major risk for governments utilising a personalised approach to service delivery. This project will develop new methodologies for identifying thin markets and determine ways emerging markets can be stewarded to better achieve their aims.
Listen and learn - statistical learning and the adapting auditory brain. This project aims to explore the link between rapid neural adaptation - a form of learning referred to as statistical learning - and human listening performance in noisy environments. The project aims to generate a new understanding of mechanisms that contribute to listeners' abilities to understand speech in noise, and to complex communication disorders such as dyslexia. Expected outcomes will include increased capacity to ....Listen and learn - statistical learning and the adapting auditory brain. This project aims to explore the link between rapid neural adaptation - a form of learning referred to as statistical learning - and human listening performance in noisy environments. The project aims to generate a new understanding of mechanisms that contribute to listeners' abilities to understand speech in noise, and to complex communication disorders such as dyslexia. Expected outcomes will include increased capacity to investigate a broad range of cognitive and communication functions. Benefits will include potential technologies and algorithms to assist listening (in devices such as hearing aids), language development and reading.Read moreRead less
Developing A Smart Farming Oriented Secure Data Infrastructure. Smart farming is the future of agriculture. However, recently the Federal Bureau of Investigation has issued a
warning that the lack of data privacy and cyber security mechanisms in the field runs a high risk of disaster. This
project aims to establish an innovative secure data infrastructure for smart farming including secure and automated smart farming supply-chain management. The deliverables of this project will include the cutt ....Developing A Smart Farming Oriented Secure Data Infrastructure. Smart farming is the future of agriculture. However, recently the Federal Bureau of Investigation has issued a
warning that the lack of data privacy and cyber security mechanisms in the field runs a high risk of disaster. This
project aims to establish an innovative secure data infrastructure for smart farming including secure and automated smart farming supply-chain management. The deliverables of this project will include the cutting-edge Blockchain based secure IoT data management and privacy-preserving smart contracts for smart farming supply-chain management. This data infrastructure will be the first of its kind which will lay a solid foundation for smart farming technology.Read moreRead less
Privacy-preserving Biometrics based Authentication and Security. Password based authentication systems cannot verify genuine users. Biometric authentication can address this issue. However, the booming IoT applications and cloud computing require that the biometric authentication must be conducted in the privacy-protected setting in order to comply with privacy protection legal regulations. Latest reports show that current biometric authentication systems, under protected setting, exhibit poor ....Privacy-preserving Biometrics based Authentication and Security. Password based authentication systems cannot verify genuine users. Biometric authentication can address this issue. However, the booming IoT applications and cloud computing require that the biometric authentication must be conducted in the privacy-protected setting in order to comply with privacy protection legal regulations. Latest reports show that current biometric authentication systems, under protected setting, exhibit poor authentication performance, which is not commercially applicable. This project aims to investigate innovative solutions to this issue. The intended deliverables will include deep learning based biometric feature extractor, cancellable biometrics and cloud oriented biometrics security protocols. Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240100532
Funder
Australian Research Council
Funding Amount
$477,165.00
Summary
Inclusive community planning for a just transition to net zero emissions. This project aims to understand how a just transition to net zero emissions can support First Nations peoples' self-determination with the case study of Collie on Wilman Noongar Country (WA), a community phasing out coal-fired power. The project expects to generate significant new theoretical and applied understandings about community practice for climate justice. With the support and engagement of Wilman Elders, this proj ....Inclusive community planning for a just transition to net zero emissions. This project aims to understand how a just transition to net zero emissions can support First Nations peoples' self-determination with the case study of Collie on Wilman Noongar Country (WA), a community phasing out coal-fired power. The project expects to generate significant new theoretical and applied understandings about community practice for climate justice. With the support and engagement of Wilman Elders, this project expects to generate outcomes of guidance for the field of community development about just transition planning with First Nations peoples. As Australia transitions to net zero emissions by 2050, this project should provide significant benefits such as greater understanding of, and capacity in, just transition planning.Read moreRead less
Shape4D: Modelling the Spatiotemporal Deformation Patterns in 3D Shapes. This research will develop new mathematical methods and algorithms that will enable the use of population-level longitudinal studies to model the spatial and temporal deformation patterns in 3D biological objects. Using novel geometric and deep learning techniques, it will create new methods that will allow the characterization of how the 3D shape of objects deforms with ageing, disease progression and interaction with thei ....Shape4D: Modelling the Spatiotemporal Deformation Patterns in 3D Shapes. This research will develop new mathematical methods and algorithms that will enable the use of population-level longitudinal studies to model the spatial and temporal deformation patterns in 3D biological objects. Using novel geometric and deep learning techniques, it will create new methods that will allow the characterization of how the 3D shape of objects deforms with ageing, disease progression and interaction with their environment, and the simulation of spatiotemporal deformations in anatomical organs. Benefits include a better understanding of growth processes, predictive models of how degenerative diseases progress and a computational framework that will assist in designing proper mitigation and intervention strategies.Read moreRead less
Learning to Pinpoint Emerging Software Vulnerabilities. This project aims to develop learning-based software vulnerability detection techniques to improve the reliability and security of modern software systems. The existing techniques relying on conventional yet rigid software analysis and testing techniques are ineffective and/or inefficient when detecting a wide variety of emerging software vulnerabilities. The outcomes of this project will be a deep-learning-based detection approach and an ....Learning to Pinpoint Emerging Software Vulnerabilities. This project aims to develop learning-based software vulnerability detection techniques to improve the reliability and security of modern software systems. The existing techniques relying on conventional yet rigid software analysis and testing techniques are ineffective and/or inefficient when detecting a wide variety of emerging software vulnerabilities. The outcomes of this project will be a deep-learning-based detection approach and an open-source tool that can capture precision correlations between deep code features and diverse vulnerabilities to pinpoint emerging vulnerabilities without the need for bug specifications. Significant benefits include greatly improved quality, reliability and security for modern software systems.Read moreRead less