Three-dimensional Bayesian Modelling of Geological and Geophysical data. The project aims to develop technologies enabling rapid informed decision-making related to the management of natural resources, including critical metals, copper and water. This new technology will support a greener future, securing our energy future, our access to clean water and reduce the mining footprint. Expected outcomes include an enhanced capability in interoperable, integrated three-dimensional geological and geop ....Three-dimensional Bayesian Modelling of Geological and Geophysical data. The project aims to develop technologies enabling rapid informed decision-making related to the management of natural resources, including critical metals, copper and water. This new technology will support a greener future, securing our energy future, our access to clean water and reduce the mining footprint. Expected outcomes include an enhanced capability in interoperable, integrated three-dimensional geological and geophysical modelling in order to predictively characterise sub-surface geology. The outcome will be an open-source forecasting dashboard enabling decision making while considering underlying risk related to resource extractions and management with significant benefits to the Australian society (lower emissions, clean water).Read moreRead less
Synthetic phenazines for enhanced biogas production from renewable and non-renewable resources. Methane (biogas) has a large role to play in meeting the energy needs of the human race globally whilst reducing greenhouse gas emissions. Microbial communities are responsible for biogas production from non-renewable (coal) and renewable (food waste) resources. This project seeks to: increase biogas yields by redirecting electron flow towards biogas producing microbes using electrochemically active p ....Synthetic phenazines for enhanced biogas production from renewable and non-renewable resources. Methane (biogas) has a large role to play in meeting the energy needs of the human race globally whilst reducing greenhouse gas emissions. Microbial communities are responsible for biogas production from non-renewable (coal) and renewable (food waste) resources. This project seeks to: increase biogas yields by redirecting electron flow towards biogas producing microbes using electrochemically active phenazines; understand the molecular mechanism by which phenazines increase biogas yields; and, assess the environmental consequence of phenazine application to coal seam gas production and anaerobic digestion of food waste. Phenazines are likely to emerge as a safe and cost-effective technology for improved biogas generation.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.
Read moreRead less
Technology and innovation management in high risk situations. The value of Australian bulk commodity exports and container imports is expected to double from $400 billion to $800 billion by 2020, placing considerable pressure on port waters. This project will examine the challenge whereby port operators are both encouraged to take risks to innovate but are constrained by the consequences of risk.
Evolution. Morphodynamics and History of the Younghusband Peninsula. This project will examine the history and evolution of the Sir Richard-Younghusband Peninsula (SRYP) complex barrier in SA. The aims are to derive a understanding of how the influences of relative sea-level changes, neotectonics, and sediment supply, can produce remarkably different responses in barrier development. No complex barrier (i.e. foredune ridges in one portion, transgressive dunefields in another) has ever been compr ....Evolution. Morphodynamics and History of the Younghusband Peninsula. This project will examine the history and evolution of the Sir Richard-Younghusband Peninsula (SRYP) complex barrier in SA. The aims are to derive a understanding of how the influences of relative sea-level changes, neotectonics, and sediment supply, can produce remarkably different responses in barrier development. No complex barrier (i.e. foredune ridges in one portion, transgressive dunefields in another) has ever been comprehensively drilled, dated, modelled, or examined in the context of indigenous occupation and oral histories in Australia. The study provides excellent analogues for barrier and dune response, and shoreline translation to varying rates of sea level rise, paralleling pressures facing all coastlines today.Read moreRead less
How isolated is Antarctica? Assessing past and present plant colonisations. The project aims to assess how biologically isolated Antarctica is by discovering how, when and where natural colonisations of the continent have occurred. The research will focus on mosses, the dominant plant group in the Antarctic. genomic tools will be combined with environmental, spatial, and ecological data to assess mechanisms and directions of dispersal to and around Antarctica, and to predict areas most likely to ....How isolated is Antarctica? Assessing past and present plant colonisations. The project aims to assess how biologically isolated Antarctica is by discovering how, when and where natural colonisations of the continent have occurred. The research will focus on mosses, the dominant plant group in the Antarctic. genomic tools will be combined with environmental, spatial, and ecological data to assess mechanisms and directions of dispersal to and around Antarctica, and to predict areas most likely to be colonised in the future. This will help understand the processes underpinning the evolution and diversity of Antarctic species, and the vulnerability and adaptability of Antarctic ecosystems. Read moreRead less