Indigenous mathematical transforms. A class of mathematical transforms, or systematic conversions between related spaces or objects, was practised by some Aboriginal and Torres Strait Islander groups. Such transforms from ground to night sky were used in long-distance route-recording and wayfinding techniques. This project aims to elucidate these transforms, and to use this knowledge to extend the mathematical framework and applications of Fourier analysis. There is significant potential for new ....Indigenous mathematical transforms. A class of mathematical transforms, or systematic conversions between related spaces or objects, was practised by some Aboriginal and Torres Strait Islander groups. Such transforms from ground to night sky were used in long-distance route-recording and wayfinding techniques. This project aims to elucidate these transforms, and to use this knowledge to extend the mathematical framework and applications of Fourier analysis. There is significant potential for new mathematics to emerge at this exciting interface of Indigenous/non-Indigenous knowledge. Expected outcomes are interdisciplinary research training for Indigenous students and new understanding of Indigenous sciences. Emerging big data technologies such as holography may benefit. Read moreRead less
Feature Learning for High-dimensional Functional Time Series. This project aims to develop new methods and theories for common features on high-dimensional functional time series observed in empirical applications. The significance includes addressing a key gap in adaptive and efficient feature learning, improving forecasting accuracy and understanding forecasting-driven factors comprehensively for empirical data. Expected outcomes involve advances in big data theory and easy-to-implement algori ....Feature Learning for High-dimensional Functional Time Series. This project aims to develop new methods and theories for common features on high-dimensional functional time series observed in empirical applications. The significance includes addressing a key gap in adaptive and efficient feature learning, improving forecasting accuracy and understanding forecasting-driven factors comprehensively for empirical data. Expected outcomes involve advances in big data theory and easy-to-implement algorithms for applied researchers. This project benefits not only advanced manufacturing by finding optimal stopping time for wood panel compression, but also superior forecasting for mortality in demography, climate data in environmental science, asset returns in finance, and electricity consumption in economics. Read moreRead less
Metaphotonics and metasurfaces for disruptive sensing technologies. This project aims to address a big challenge in nanophotonics by developing revolutionary methods for efficient chiral sensing of molecules without the need for spectrometry, frequency scanning, or moving mechanical parts, and to enhance chiroptical signals a hundredfold with the help of metasurface structures. Resonant metasurfaces are arrays of engineered dielectric nanoparticles with extraordinary characteristics, and they wo ....Metaphotonics and metasurfaces for disruptive sensing technologies. This project aims to address a big challenge in nanophotonics by developing revolutionary methods for efficient chiral sensing of molecules without the need for spectrometry, frequency scanning, or moving mechanical parts, and to enhance chiroptical signals a hundredfold with the help of metasurface structures. Resonant metasurfaces are arrays of engineered dielectric nanoparticles with extraordinary characteristics, and they would allow to overcome current limitations of chiral sensing analytical tools. Detecting chiral molecules in low concentrations is crucially important to many fields of biology, chemistry, and pharmacy, as well as to the food and cosmetics industries, constituting a market of tens of billions of dollars.Read moreRead less
Auger, Quantum Electro-Dynamics, Axions and New Technology. New technology developed by Australia, Sweden and the United States will be applied to major questions about the application of relativistic quantum mechanics to atomic structure and dynamics and spectroscopy, especially including critical issues in quantum electro-dynamics for atomic physics and applications. Discrepancies in quantum electro-dynamics have dominated international debate for decades, with claimed explanations annually fa ....Auger, Quantum Electro-Dynamics, Axions and New Technology. New technology developed by Australia, Sweden and the United States will be applied to major questions about the application of relativistic quantum mechanics to atomic structure and dynamics and spectroscopy, especially including critical issues in quantum electro-dynamics for atomic physics and applications. Discrepancies in quantum electro-dynamics have dominated international debate for decades, with claimed explanations annually failing to reveal the cause. Also a pattern of discrepancies has been seen at X-ray energies in first row metal atoms, with a similar sign and magnitude. A combined experimental an theoretical investigation will aim to reveal new light on these anomalies and serve to develop our understanding of the universe.Read moreRead less
Genetic rescue of Australian wildlife. Genetic rescue of Australian wildlife. This project aims to test genetic rescue as an efficient recovery technique for threatened plants and animals. Genetic rescue is under-utilised, even though it is overwhelmingly beneficial. This project will convert management actions on five Endangered/Critically Endangered species into rigorous experiments that measure the fitness benefits of genetic rescue, and demonstrate genome-wide consequences. Anticipated outco ....Genetic rescue of Australian wildlife. Genetic rescue of Australian wildlife. This project aims to test genetic rescue as an efficient recovery technique for threatened plants and animals. Genetic rescue is under-utilised, even though it is overwhelmingly beneficial. This project will convert management actions on five Endangered/Critically Endangered species into rigorous experiments that measure the fitness benefits of genetic rescue, and demonstrate genome-wide consequences. Anticipated outcomes include innovative genetic rescue protocols, a framework for genetic rescue, and leading-edge conservation training. Expected benefits are increased persistence of species that are otherwise unresponsive to management, and a new path to saving endangered species.Read moreRead less
Equity and spatial reasoning in students’ mathematics development. The project aims to understand the influence of Spatial-Reasoning on school mathematics. Spatial-Reasoning skills are a significant predictor of achievement in mathematics, and will become increasingly necessary in digital and dynamic environments. Opportunities for disadvantaged students to develop such reasoning skills are limited; they are typically not taught in schools. The project investigates the role and nature of Spatial ....Equity and spatial reasoning in students’ mathematics development. The project aims to understand the influence of Spatial-Reasoning on school mathematics. Spatial-Reasoning skills are a significant predictor of achievement in mathematics, and will become increasingly necessary in digital and dynamic environments. Opportunities for disadvantaged students to develop such reasoning skills are limited; they are typically not taught in schools. The project investigates the role and nature of Spatial-Reasoning in students’ mathematics development; and substantiates the long-term effect of a spatial learning programme on educationally disadvantaged students’ mathematics performance and reasoning. This project is expected to improve disadvantaged students’ spatial reasoning and mathematics skills and their life opportunities.Read moreRead less
Linking for Life: Enhancing pathways to well-being for all Australians. The Linking for Life Project will identify pathways to wellbeing and better social outcomes across the life-course for high-risk/vulnerable individuals and their families to streamline service provision, improve outcomes and identify cost-efficiencies across government agencies. The work will expand cross-sectoral data linkage capability, enhancing research capacity to generate evidence-based policy to improve integrated ser ....Linking for Life: Enhancing pathways to well-being for all Australians. The Linking for Life Project will identify pathways to wellbeing and better social outcomes across the life-course for high-risk/vulnerable individuals and their families to streamline service provision, improve outcomes and identify cost-efficiencies across government agencies. The work will expand cross-sectoral data linkage capability, enhancing research capacity to generate evidence-based policy to improve integrated service delivery across government. The project will also trial innovative data linkage models including the creation of data repositories to improve efficiency for data provision and access, which will have application nationally and enable more timely access to whole-population linked cross-sector data.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240101245
Funder
Australian Research Council
Funding Amount
$445,047.00
Summary
Automated Modelling Assistance for the Creation of Complex Planning Models. Artificial Intelligence (AI) planning technology is used to control systems like automated factories, robots, or to solve complex optimisation problems. Creating these models is however rather complex and error-prone and requires experts to create them in the first place. This project aims at developing techniques and tools for automated modelling support. They will make the modelling process easier and guarantee desired ....Automated Modelling Assistance for the Creation of Complex Planning Models. Artificial Intelligence (AI) planning technology is used to control systems like automated factories, robots, or to solve complex optimisation problems. Creating these models is however rather complex and error-prone and requires experts to create them in the first place. This project aims at developing techniques and tools for automated modelling support. They will make the modelling process easier and guarantee desired model properties such as the desired system behaviour. The tools will thus contribute towards making the technology more easily accessible to companies that might want to deploy them, while reducing costs for doing so and increasing the quality of these models.
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Social isolation and volunteering of older Chinese immigrants in Australia. This co-designed and collaborative research addresses an acute challenge since COVID-19: how to make volunteering activities more accessible to CALD immigrants who suffer from serious social isolation. The researchers will work with 5 partner organisations (POs) to study Chinese immigrants (60+) in NSW as an example. It will analyse census and GSS datasets, conduct in-depth interviews and focus groups in the settings of ....Social isolation and volunteering of older Chinese immigrants in Australia. This co-designed and collaborative research addresses an acute challenge since COVID-19: how to make volunteering activities more accessible to CALD immigrants who suffer from serious social isolation. The researchers will work with 5 partner organisations (POs) to study Chinese immigrants (60+) in NSW as an example. It will analyse census and GSS datasets, conduct in-depth interviews and focus groups in the settings of old-age care, service navigation and elderly learning. This research will produce new evidence and test the effect of peer education, and support services and policy advocacy of the POs. This research will benefit CALD older immigrants, enhance service capacity and contribute to greater social cohesion in Australia.Read moreRead less
Integrating fire and predator management to conserve threatened species. This project aims to empower land managers to better conserve Australia’s threatened native animals by developing decision-support approaches that facilitate integrated management of threatening processes. The project will use a combination of novel predictive models, field experiments and data syntheses to assist land managers to better conserve Australia’s threatened native fauna. This project will benefit biodiversity co ....Integrating fire and predator management to conserve threatened species. This project aims to empower land managers to better conserve Australia’s threatened native animals by developing decision-support approaches that facilitate integrated management of threatening processes. The project will use a combination of novel predictive models, field experiments and data syntheses to assist land managers to better conserve Australia’s threatened native fauna. This project will benefit biodiversity conservation by enabling more effective allocation of limited conservation resources.Read moreRead less