Discovery Early Career Researcher Award - Grant ID: DE220100265
Funder
Australian Research Council
Funding Amount
$417,000.00
Summary
A closed-loop human–agent learning framework to enhance decision making. This project aims to design a foundational human–agent learning framework to augment the decision making process, using reinforcement and closed-loop mechanisms to enable symbiosis between a human and an artificial-intelligence agent. It envisages significant new technologies to promote controllability and efficient and safe exploration of an environment for decision actions – drastically boosting learning effectiveness and ....A closed-loop human–agent learning framework to enhance decision making. This project aims to design a foundational human–agent learning framework to augment the decision making process, using reinforcement and closed-loop mechanisms to enable symbiosis between a human and an artificial-intelligence agent. It envisages significant new technologies to promote controllability and efficient and safe exploration of an environment for decision actions – drastically boosting learning effectiveness and interpretability in decision making. Expected outcomes will benefit national cybersecurity by improving our understanding of vulnerabilities and threats involving decision actions, and by ensuring that human feedback and evaluations can help prevent catastrophic events in explorations of dynamic and complex environments.Read moreRead less
Industrial Transformation Research Hubs - Grant ID: IH180100002
Funder
Australian Research Council
Funding Amount
$5,000,000.00
Summary
ARC Research Hub for Driving Farming Productivity and Disease Prevention. The ARC Research Hub for Driving Farming Productivity and Disease Prevention aims to increase farm production and disease prevention through advancing and transferring new artificial intelligence technologies into industrial deployment. The Hub will combine machine vision, machine learning, software quality control, engineering, biology, and farming industries to develop technologies to build more intelligent systems. Thes ....ARC Research Hub for Driving Farming Productivity and Disease Prevention. The ARC Research Hub for Driving Farming Productivity and Disease Prevention aims to increase farm production and disease prevention through advancing and transferring new artificial intelligence technologies into industrial deployment. The Hub will combine machine vision, machine learning, software quality control, engineering, biology, and farming industries to develop technologies to build more intelligent systems. These dynamic systems will help determine what goal to achieve and the most efficient plan to achieve it. This Hub is expected to contribute to higher farming efficiency, lower production costs and fewer disease risks, giving the Australian industry new business opportunities and an international competitive advantage.Read moreRead less
Regions undergoing transition: the roles of unions and their peak bodies. The project aims to investigate how unions and their peak bodies can act in beneficial ways to promote regional socio-economic development. This project expects to generate knowledge of the processes of regional renewal, including the ways unions and their peak bodies may be involved. Expected outcomes include theory development and explanations of these processes of regional engagement to enhance regional transition. It w ....Regions undergoing transition: the roles of unions and their peak bodies. The project aims to investigate how unions and their peak bodies can act in beneficial ways to promote regional socio-economic development. This project expects to generate knowledge of the processes of regional renewal, including the ways unions and their peak bodies may be involved. Expected outcomes include theory development and explanations of these processes of regional engagement to enhance regional transition. It will also provide a comprehensive refinement of research methodologies for labour and regional studies. This should provide significant benefits enabling the development of engaged and inclusive transition policies at a regional level. It will benefit workers, their households and communities. Read moreRead less
Remote presence for guidance on physical tasks. This project aims to transform remote collaboration on physical tasks. Current systems for remote collaboration on physical tasks are not as effective as working face-to-face. This could be overcome by sharing non-verbal cues, designing systems to account for cultural issues, and using a new model of communication. This project will develop theories and interaction methods for remote guidance based on natural non-verbal communication cues and cultu ....Remote presence for guidance on physical tasks. This project aims to transform remote collaboration on physical tasks. Current systems for remote collaboration on physical tasks are not as effective as working face-to-face. This could be overcome by sharing non-verbal cues, designing systems to account for cultural issues, and using a new model of communication. This project will develop theories and interaction methods for remote guidance based on natural non-verbal communication cues and cultural issues. This project is expected to benefit industries with widely distributed multi-cultural workforces such as mining, defence and medicine.Read moreRead less
Judges' work, place and psychological health - a national view. This project aims to address the human, juridical and financial costs of judicial officers’ work-related psychological harm. This harm is implicated in early retirement, sick leave and suicide. It threatens appropriate courtroom conduct, procedural fairness and impartial adjudication. The project seeks to generate new knowledge of the stress judicial officers experience and the individual and institutional mechanisms for managing st ....Judges' work, place and psychological health - a national view. This project aims to address the human, juridical and financial costs of judicial officers’ work-related psychological harm. This harm is implicated in early retirement, sick leave and suicide. It threatens appropriate courtroom conduct, procedural fairness and impartial adjudication. The project seeks to generate new knowledge of the stress judicial officers experience and the individual and institutional mechanisms for managing stressors, combining socio-legal and psychological approaches. Expected outcomes include evidence-based understandings to inform recruitment and retention strategies specific to this highly specialized workforce. This should provide significant benefits for judges’ work capacities and courts' delivery of justice.Read moreRead less
Warratyi: Cultural Innovation in the Indigenous Settlement of Australia. This project aims to determine the role of cultural innovation in the Indigenous settlement of Australia's arid zone 50,000 years ago. Using innovative methods, it will produce new data on key technologies, symbolic behaviours and human interactions with animals and environment to identify the cultural innovations needed to overcome the challenges of Australia's deserts. Expected outcomes include new understandings of the s ....Warratyi: Cultural Innovation in the Indigenous Settlement of Australia. This project aims to determine the role of cultural innovation in the Indigenous settlement of Australia's arid zone 50,000 years ago. Using innovative methods, it will produce new data on key technologies, symbolic behaviours and human interactions with animals and environment to identify the cultural innovations needed to overcome the challenges of Australia's deserts. Expected outcomes include new understandings of the settlement of the arid zone to inform global debates relating to the dispersal, settlement and lifestyles of early humans in marginal environments. Expected benefits include new information for cultural tourism and education and to support South Australia’s World Heritage nomination for the Flinders Ranges.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210100784
Funder
Australian Research Council
Funding Amount
$400,728.00
Summary
The nexus between organisational trust and collaboration in disasters . This project will use empirical investigation to develop a multidimensional model depicting the organisational practices that are vital for quickly establishing and maintaining trusting relationships in emergency management collaboration. Trust is the crucial but often neglected element that determines the success of collaboration. Expected outcomes include the creation of the first rigorously established knowledge base for ....The nexus between organisational trust and collaboration in disasters . This project will use empirical investigation to develop a multidimensional model depicting the organisational practices that are vital for quickly establishing and maintaining trusting relationships in emergency management collaboration. Trust is the crucial but often neglected element that determines the success of collaboration. Expected outcomes include the creation of the first rigorously established knowledge base for understanding what mechanisms are effective to overcome conflicting cultures in Australian emergency management arrangements and successfully build trusting relationships. This should provide significant benefits for all organisations when collaborating in the response to, and recovery from, disasters.Read moreRead less
Physics-aware machine learning for data-driven fire risk prediction. The 2019/20 Australian fire season was unprecedented in its extent, impact, and the response of fire agencies. In this project, we aim to answer the question: was the scale of these fires driven by known drivers of fire (drought, weather, fuels and ignitions), or were fundamentally new undescribed processes and phenomena involved? We will accomplish this by developing an innovative, physics-aware machine learning model of fire ....Physics-aware machine learning for data-driven fire risk prediction. The 2019/20 Australian fire season was unprecedented in its extent, impact, and the response of fire agencies. In this project, we aim to answer the question: was the scale of these fires driven by known drivers of fire (drought, weather, fuels and ignitions), or were fundamentally new undescribed processes and phenomena involved? We will accomplish this by developing an innovative, physics-aware machine learning model of fire risk and spread, trained and validated on a two-decade satellite fire record. The predictive ability of the model will be tested on the 2019/20 fire season to determine if novel drivers of fire can be identified, and the model itself will be operationalised into a novel short-to-mid term fire risk prediction tool. Read moreRead less
Synthetic storage for improving flexibility and security of micro-grids. This project aims to remove the need for energy storage in micro-grids via adoption of synthetic storage. Micro-grids encounter high renewable energy penetrations early, given their small size. Typically, micro-grid variability is managed with technologies such as energy storage. Synthetic storage involves replacing fixed speed diesel assets with variable speed diesel technology. This project offers a cost-effective way to ....Synthetic storage for improving flexibility and security of micro-grids. This project aims to remove the need for energy storage in micro-grids via adoption of synthetic storage. Micro-grids encounter high renewable energy penetrations early, given their small size. Typically, micro-grid variability is managed with technologies such as energy storage. Synthetic storage involves replacing fixed speed diesel assets with variable speed diesel technology. This project offers a cost-effective way to improve renewable penetration and reduce diesel fuel consumption in micro-grids by removing the need for expensive energy storage. The expected project outcomes include reductions in cost and complexity for high renewable energy penetration micro-grids, reduced emissions and improved micro-grid reliability.Read moreRead less
Early Career Industry Fellowships - Grant ID: IE230100443
Funder
Australian Research Council
Funding Amount
$463,971.00
Summary
Pyrethrum in half the time: genes and systems to annually crop a perennial. The capacity of the Australian pyrethrum industry, the global leader in the supply of the natural insecticide, is threatened by the profitability of the current 18-month crop cycle. The project aims to transform the crop to an annual production cycle by discovering genes that underpin flower timing and yield. The project will generate new knowledge on the genetic and physiological drivers of flowering and exploit these f ....Pyrethrum in half the time: genes and systems to annually crop a perennial. The capacity of the Australian pyrethrum industry, the global leader in the supply of the natural insecticide, is threatened by the profitability of the current 18-month crop cycle. The project aims to transform the crop to an annual production cycle by discovering genes that underpin flower timing and yield. The project will generate new knowledge on the genetic and physiological drivers of flowering and exploit these for the development of viable 10-month crops. Outcomes of the project include new protocols and germplasm for breeding and managing short cycle crops for optimum yield. This will provide significant benefits including an economically attractive crop option for growers and a more sustainable industry. Read moreRead less