Industrial Transformation Research Hubs - Grant ID: IH190100022
Funder
Australian Research Council
Funding Amount
$4,787,259.00
Summary
ARC Research Hub for Sustainable Crop Protection. The Hub aims to develop and commercialise an innovative biological alternative to chemical fungicides targeting economically significant diseases of broadacre and horticultural crops. It addresses industry challenges of fungicide resistance, chemical residues in food, off-target effects and environmental harm. It builds on ground-breaking ‘BioClay’ platform to deliver pathogen targeting RNA using clay particles as non-genetically modified crop pr ....ARC Research Hub for Sustainable Crop Protection. The Hub aims to develop and commercialise an innovative biological alternative to chemical fungicides targeting economically significant diseases of broadacre and horticultural crops. It addresses industry challenges of fungicide resistance, chemical residues in food, off-target effects and environmental harm. It builds on ground-breaking ‘BioClay’ platform to deliver pathogen targeting RNA using clay particles as non-genetically modified crop protection. An expert multidisciplinary team uniting science, commercial and social licence pathways ensures industry and consumer uptake advancing $60B Australian Agriculture. The Hub translates to increased productivity, market access and enhanced environmental credentials of Australian food.
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Industrial Transformation Research Hubs - Grant ID: IH220100016
Funder
Australian Research Council
Funding Amount
$2,959,803.00
Summary
ARC Research Hub to Advance Timber for Australia’s Future Built Environment. This project aims to transform Australia’s timber and construction sectors by stimulating rapid growth in timber innovation and uptake of use of timber in buildings. It plans to enable this transformation by addressing the diverse elements required to motivate investment, stimulate innovation, satisfy stakeholder demands, define long-term social-environmental-economic benefits and establish a roadmap for change. The exp ....ARC Research Hub to Advance Timber for Australia’s Future Built Environment. This project aims to transform Australia’s timber and construction sectors by stimulating rapid growth in timber innovation and uptake of use of timber in buildings. It plans to enable this transformation by addressing the diverse elements required to motivate investment, stimulate innovation, satisfy stakeholder demands, define long-term social-environmental-economic benefits and establish a roadmap for change. The expected outcomes will kickstart the change process, supported by growth in advanced manufacturing across the value chain. This should provide significant benefits in stimulating an opportunity for regional development and resource diversification whilst helping the sectors transition to a circular and net-zero economy.Read moreRead less
Multi-Country Study on Health Effects of Bushfire Air Pollution. Catastrophic bushfires are a major natural disaster, causing serious air pollution. However, aligning bushfire air pollution and public health policies becomes a significant challenge, because limited studies are available on relationships between bushfire air pollution and human health, particularly for the prolonged exposure. We will characterize the nature of the relationships between bushfire air pollution and mortality/morbidi ....Multi-Country Study on Health Effects of Bushfire Air Pollution. Catastrophic bushfires are a major natural disaster, causing serious air pollution. However, aligning bushfire air pollution and public health policies becomes a significant challenge, because limited studies are available on relationships between bushfire air pollution and human health, particularly for the prolonged exposure. We will characterize the nature of the relationships between bushfire air pollution and mortality/morbidity by developing a multi-country study; and estimate the burden of diseases attributed to bushfire air pollution. This project will provide essential scientific evidence to policy-makers and stakeholders in the development, prioritization and implementation of health protection strategies and policies.
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Protecting Australia’s food future: shared responsibility for biosecurity. This project aims to investigate whether Australia’s ‘shared responsibility’ approach to biosecurity is capable of facing the growing threat from exotic pests and diseases. Through the analysis of policy documents and the use of semi-structured interviews, this project intends to contribute to a deeper understanding of the inter- and intra-organisational characteristics that influence implementation of biosecurity. Expect ....Protecting Australia’s food future: shared responsibility for biosecurity. This project aims to investigate whether Australia’s ‘shared responsibility’ approach to biosecurity is capable of facing the growing threat from exotic pests and diseases. Through the analysis of policy documents and the use of semi-structured interviews, this project intends to contribute to a deeper understanding of the inter- and intra-organisational characteristics that influence implementation of biosecurity. Expected outcomes include crucial insights into the capacity of a shared responsibility approach to protect agri-food production against biological threats, and the forms of institutional change that may be needed to enhance responsiveness to those threats. This in turn will benefit Australia's biosecurity system.Read moreRead less
Visual analytics for massive multivariate networks. Visual analytics for massive multivariate networks. This project aims to create methods to visually analyse massive multivariate networks. The amount of network data available has exploded in recent years: software systems, social networks and biological systems have millions of nodes and billions of edges with multivariate attributes. Their size and complexity makes these data sets hard to exploit. More efficient ways to understand the data ar ....Visual analytics for massive multivariate networks. Visual analytics for massive multivariate networks. This project aims to create methods to visually analyse massive multivariate networks. The amount of network data available has exploded in recent years: software systems, social networks and biological systems have millions of nodes and billions of edges with multivariate attributes. Their size and complexity makes these data sets hard to exploit. More efficient ways to understand the data are needed. This project will design, implement and evaluate visualisation methods for massive multivariate network data sets. This research is expected to be used by Australian software development, biotechnology and security companies to exploit their data.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
Machine Assisted, Multi-scale Spatial and Temporal Observation and Modeling of Marine Benthic Habitats. The Integrated Marine Observing System (IMOS) science plans include sampling campaigns reliant on Autonomous Underwater Vehicle (AUV) Facility data and designed to address the issues of marine biodiversity quantification and assurance. The proposed research will directly enhance the effectiveness of these programs by speeding labour-intensive analyses, aggregating the results, and searching f ....Machine Assisted, Multi-scale Spatial and Temporal Observation and Modeling of Marine Benthic Habitats. The Integrated Marine Observing System (IMOS) science plans include sampling campaigns reliant on Autonomous Underwater Vehicle (AUV) Facility data and designed to address the issues of marine biodiversity quantification and assurance. The proposed research will directly enhance the effectiveness of these programs by speeding labour-intensive analyses, aggregating the results, and searching for ecological patterns on a national scale that would be difficult to identify using traditional approaches tuned to process-scale studies. Australian society stands to benefit by virtue of improved large-scale models of ecosystem function and reduced cost for conducting marine ecosystem investigations.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
The endangered swift parrot as a model for managing small migratory birds. Endangered swift parrots use variable locations while breeding in eastern Tasmania and over winter on the Australian mainland. This project aims to develop effective conservation strategies for swift parrots and other migrants using new and long term data and innovative technological solutions to tracking small birds across vast landscapes.
Reasonable Adjustments to Maths for Students with Intellectual Disabilities. Reasonable adjustments to secondary mathematics – parents want it, students need it, the Australian law requires it – but how do teachers achieve it? The aim of this project is to find ways to adjust, teach and assess secondary mathematics for students with intellectual and developmental disabilities. The significance of this study is in solving a problem facing teachers who are required by law to teach mathematics with ....Reasonable Adjustments to Maths for Students with Intellectual Disabilities. Reasonable adjustments to secondary mathematics – parents want it, students need it, the Australian law requires it – but how do teachers achieve it? The aim of this project is to find ways to adjust, teach and assess secondary mathematics for students with intellectual and developmental disabilities. The significance of this study is in solving a problem facing teachers who are required by law to teach mathematics without evidence informed approaches. Expected outcomes are an evidence-base for reasonable adjustments to secondary mathematics and approaches and strategies for teachers for inclusive practices. If ways for teaching year-level mathematics to learners with intellectual disability are developed, many more students may benefit.
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