Industrial Transformation Training Centres - Grant ID: IC200100009
Funder
Australian Research Council
Funding Amount
$4,861,236.00
Summary
ARC Training Centre in Optimisation Technologies, Integrated Methodologies, and Applications (OPTIMA). OPTIMA addresses industry’s urgent need for decision-making tools for global competitiveness: reducing lead times, and financial and environmental costs, while improving efficiency, quality, and agility. Despite strong expertise in academia, industry is yet to fully benefit from optimisation technology due to its high barrier to entry. Connecting industry partners with world-leading interdiscip ....ARC Training Centre in Optimisation Technologies, Integrated Methodologies, and Applications (OPTIMA). OPTIMA addresses industry’s urgent need for decision-making tools for global competitiveness: reducing lead times, and financial and environmental costs, while improving efficiency, quality, and agility. Despite strong expertise in academia, industry is yet to fully benefit from optimisation technology due to its high barrier to entry. Connecting industry partners with world-leading interdisciplinary researchers and talented students, OPTIMA will advance an industry-ready optimisation toolkit, while training a new generation of industry practitioners and over 120 young researchers, vanguarding a highly skilled workforce of change agents for transformation of the advanced manufacturing, energy resources, and critical infrastructure sectors.Read moreRead less
Enabling three dimensional stochastic geological modelling. This project aims to develop technologies to mitigate three dimensional (3D) geological risk in resources management. This project expects to create new knowledge and methods in the field of 3D geological modelling through the innovative application of mathematical methods, structural geology concepts and probabilistic programming. The expected outcomes are an enhanced capability to model the subsurface, characterise model uncertainty a ....Enabling three dimensional stochastic geological modelling. This project aims to develop technologies to mitigate three dimensional (3D) geological risk in resources management. This project expects to create new knowledge and methods in the field of 3D geological modelling through the innovative application of mathematical methods, structural geology concepts and probabilistic programming. The expected outcomes are an enhanced capability to model the subsurface, characterise model uncertainty and test multiple geological scenarios. This enhanced capability is important for the future of Australia's subsurface management, including urban geology and our continuously growing sustainable resources industry.Read moreRead less
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
Linking terrestrial–aquatic fluxes to rectify the Australian carbon balance. This project aims to rectify the Australian carbon balance by determining the amount of terrestrial carbon that is lost to streams and rivers across the country. Through a novel integration of high-resolution hydrochemical and gas measurements, remote sensing and machine learning algorithms, the project intends to generate new knowledge about the links between terrestrial carbon sequestration and aquatic carbon export. ....Linking terrestrial–aquatic fluxes to rectify the Australian carbon balance. This project aims to rectify the Australian carbon balance by determining the amount of terrestrial carbon that is lost to streams and rivers across the country. Through a novel integration of high-resolution hydrochemical and gas measurements, remote sensing and machine learning algorithms, the project intends to generate new knowledge about the links between terrestrial carbon sequestration and aquatic carbon export. Expected outcomes include a refined estimate of the net carbon sequestration potential across Australian biomes and seasons. This should provide significant benefits such as avoiding misalignment of greenhouse gas abatement policies and advancing carbon cycling models and predictions.Read moreRead less
Integrated Farm Modelling to Improve Resilience and Sustainable Prosperity. This project aims to improve farm resilience, farm management, and economic decision-making in Australia and internationally. It expects to generate new interdisciplinary knowledge to integrate our understanding of agro-ecosystems and innovative tools to assess their status and manage their operations more effectively. Expected outcomes include the ability to inform farmers, bankers, and land managers about the trade-off ....Integrated Farm Modelling to Improve Resilience and Sustainable Prosperity. This project aims to improve farm resilience, farm management, and economic decision-making in Australia and internationally. It expects to generate new interdisciplinary knowledge to integrate our understanding of agro-ecosystems and innovative tools to assess their status and manage their operations more effectively. Expected outcomes include the ability to inform farmers, bankers, and land managers about the trade-offs between resilience and efficiency on farms. This should provide significant benefits, including the ability to minimize financial risks to farmers and banks, allow better investment decisions, and achieve sustainable long-term outcomes for both private and public well-being.Read moreRead less
Housing energy efficiency transitions. This project aims to provide an analysis of housing retrofit and its links with household energy costs. It includes householders across eight global urban sites, as well as the businesses that supply retrofit services. The project will analyse the retrofit experience of both energy poor and other households, providing an internationally significant evidence base. Outcomes include a robust empirical evidence base on the implications of retrofit for househol ....Housing energy efficiency transitions. This project aims to provide an analysis of housing retrofit and its links with household energy costs. It includes householders across eight global urban sites, as well as the businesses that supply retrofit services. The project will analyse the retrofit experience of both energy poor and other households, providing an internationally significant evidence base. Outcomes include a robust empirical evidence base on the implications of retrofit for households to tailor actions that will shape the lives of residents in Australian households.Read moreRead less
Emotions and Employee Turnover: New Methods for Complex Dynamic Systems. This project aims to vastly improve the data-analytic capabilities of social and health researchers, while increasing knowledge about emotion dynamics and their link to employee turnover. By drawing on and advancing methods from ecology and applied physics, this project plans to investigate the role that individual emotions play in employee turnover with new quantitative methods for characterising and testing causality in c ....Emotions and Employee Turnover: New Methods for Complex Dynamic Systems. This project aims to vastly improve the data-analytic capabilities of social and health researchers, while increasing knowledge about emotion dynamics and their link to employee turnover. By drawing on and advancing methods from ecology and applied physics, this project plans to investigate the role that individual emotions play in employee turnover with new quantitative methods for characterising and testing causality in complex dynamic systems. The expected outcomes include an improved capacity for researchers, managers, and policy makers to understand complex organisational, economic, and health systems. This will provide immediate societal benefits by informing the development and deployment of targeted interventions in such systems.Read moreRead less
Real-time imaging of crystal strengthening mechanisms in metals. The strength limit of a metal is marked by rapid motion of crystalline defects. The associated speeds can locally approach that of sound. To probe the associated mechanisms clearly requires both spatial and temporal resolution. We propose to create a new bulk x-ray technique with an unprecedented combination of temporal and spatial resolution. We plan to exploit the technique to mediate a step change in modelling strength based on ....Real-time imaging of crystal strengthening mechanisms in metals. The strength limit of a metal is marked by rapid motion of crystalline defects. The associated speeds can locally approach that of sound. To probe the associated mechanisms clearly requires both spatial and temporal resolution. We propose to create a new bulk x-ray technique with an unprecedented combination of temporal and spatial resolution. We plan to exploit the technique to mediate a step change in modelling strength based on twinning. The formation of crystalline twins is known to dictate the strength of the light metal magnesium. A fuller understanding of the effect of twinning on strength in this metal will provide much needed confidence to implement it more widely in energy saving applications.Read moreRead less
COVID-19, health and labour market marginalisation . This project aims to investigate the impact of the COVID-19 pandemic on labour market marginalisation in Australia. It seeks to generate new insights about whether the global economic shock had a disproportionately negative effect on the employment circumstances of working-age Australians with mental health and musculoskeletal/pain conditions, which are the leading causes of disability in Australia. The expected outcomes of this project includ ....COVID-19, health and labour market marginalisation . This project aims to investigate the impact of the COVID-19 pandemic on labour market marginalisation in Australia. It seeks to generate new insights about whether the global economic shock had a disproportionately negative effect on the employment circumstances of working-age Australians with mental health and musculoskeletal/pain conditions, which are the leading causes of disability in Australia. The expected outcomes of this project include improved policy responses to direct effective support and assistance to those with the greatest need, and new resources for the research community. This should lead to significant benefits through reduced inequalities and improved social, economic and workforce outcomes for vulnerable Australians.Read moreRead less