Threats to the water quality and ecosystem of Coffin Bay, South Australia. Coffin Bay (South Australia) is experiencing worsening environmental conditions despite its major economic and ecological importance. Research is needed to understand the cause of this decline, particularly in light of a recent bacterial outbreak that impacted the aquaculture industry. This multidisciplinary project aims to deliver world-leading scientific advice based on novel field techniques and innovative models of th ....Threats to the water quality and ecosystem of Coffin Bay, South Australia. Coffin Bay (South Australia) is experiencing worsening environmental conditions despite its major economic and ecological importance. Research is needed to understand the cause of this decline, particularly in light of a recent bacterial outbreak that impacted the aquaculture industry. This multidisciplinary project aims to deliver world-leading scientific advice based on novel field techniques and innovative models of this complex inverse estuary system and its surrounding catchment. The new understanding of the sources, fluxes and fate of nutrients within the bay and the surrounding catchment, arising from this project, is expected to benefit management decision-making and establish a new standard in estuarine water quality investigation.Read moreRead less
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
Fire, air, water and earth: Using fossils to discover the evolution of Australia’s open vegetation. How Australia came to be dominated by open, tough-leaved vegetation is an old but still highly controversial question, especially with recent developments in molecular biology that challenge paradigms established from the fossil record. The project will test this new molecular paradigm with innovative use of characteristics of fossil leaves to identify the timing and drivers of the evolution of Au ....Fire, air, water and earth: Using fossils to discover the evolution of Australia’s open vegetation. How Australia came to be dominated by open, tough-leaved vegetation is an old but still highly controversial question, especially with recent developments in molecular biology that challenge paradigms established from the fossil record. The project will test this new molecular paradigm with innovative use of characteristics of fossil leaves to identify the timing and drivers of the evolution of Australia’s open vegetation. The integration of new and rigorous evidence derived from living and fossil plants will provide the clearest evidence yet for the origins of Australian environments. This has ramifications for understanding plant responses to past and future climate changes.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