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
Partially Observable MDPs, Monte Carlo Methods, and Sustainable Fisheries. Partially Observable Markov Decision Processes (POMDPs) provide a general mathematical framework for sequential decision making under uncertainty. However, solving POMDPs effectively under realistic assumptions remains a challenging problem. This project aims to develop new efficient Monte Carlo algorithms to significantly advance the application of POMDPs to real-world decision problems involving complex action spaces an ....Partially Observable MDPs, Monte Carlo Methods, and Sustainable Fisheries. Partially Observable Markov Decision Processes (POMDPs) provide a general mathematical framework for sequential decision making under uncertainty. However, solving POMDPs effectively under realistic assumptions remains a challenging problem. This project aims to develop new efficient Monte Carlo algorithms to significantly advance the application of POMDPs to real-world decision problems involving complex action spaces and system dynamics. Both theoretical and algorithmic approaches will be applied to sustainable fishery management --- an important problem for Australia and an ideal context for POMDPs. The project will advance research in artificial intelligence, dynamical systems, and fishery operations, and benefit the national economy.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
CropVision: A next-generation system for predicting crop production. Accurate and timely production estimates are essential to Australia’s grain producers and industry to better deal with down side risk caused by climate extremes and market volatilities. However, current systems for predicting crop production are inaccurate and unreliable. This project aims to develop a next generation system for advance and high accuracy predictions for yield, crop type and area at field scale. This will be don ....CropVision: A next-generation system for predicting crop production. Accurate and timely production estimates are essential to Australia’s grain producers and industry to better deal with down side risk caused by climate extremes and market volatilities. However, current systems for predicting crop production are inaccurate and unreliable. This project aims to develop a next generation system for advance and high accuracy predictions for yield, crop type and area at field scale. This will be done by integrating the state of the art global climate models (GCM), biophysical crop modelling, and high-resolution earth observation technologies. This project will deliver a next generation crop prediction system to predict crop production at field scale for improved decision-making and enhancing resilience.Read moreRead less
Assessment Of The Sensitivity Of Australia’s Aquatic Animal Disease Surveillance System Using Scenario Tree Modelling
Funder
Fisheries Research and Development Corporation
Funding Amount
$224,000.00
Summary
The sensitivity of an overall passive surveillance system is difficult to determine due to variability in factors such as disease characteristics, passive surveillance stakeholders and the likelihood that disease events will be reported and investigated. The WOAH Aquatic Animal Health Code also stipulates the primary evidence for historical freedom is passive surveillant information generated by a country’s early detection system that needs to be sufficiently sensitive.
Scenario tree m ....The sensitivity of an overall passive surveillance system is difficult to determine due to variability in factors such as disease characteristics, passive surveillance stakeholders and the likelihood that disease events will be reported and investigated. The WOAH Aquatic Animal Health Code also stipulates the primary evidence for historical freedom is passive surveillant information generated by a country’s early detection system that needs to be sufficiently sensitive.
Scenario tree modelling (STM) can be used to overcome those challenges. STM uses quantitative statistical methods to estimate the sensitivity of various components of the surveillance system (e.g. presentation of disease signs, disease recognition and reporting). These estimates can then be used to identify critical points in the system to which interventions can be targeted to improve the system. STM can be applied to any aquatic disease/industry of interest and there are some successful examples for terrestrial diseases/industries, both in Australia and overseas.
Two aquatic animal disease agents of trade and biosecurity significance, WSSV and megalocytiviruses, will be evaluated as case studies. These diseases are subject to import biosecurity measures and have significant production impacts, as they severely affect farmed and wild aquatic animal species that are valued by many stakeholders (e.g. aquaculture, capture fisheries, recreational fisheries and conservation groups). A sound STM assessment of each case study will support our early detection system through a quantitative evaluation of the speed of the detection, and improve our emergency disease response strategy by determining areas in our passive surveillance that, once strengthened, will provide a greater return on future investment.
As mentioned above, increasing the sensitivity of Australia’s passive surveillance is a national priority. This project is identified in AQUAPLAN 2022-2017 as Activity 3.3. The outcomes of this project are also used for other AQUAPLAN activities, National surveillance strategy (Activity 3.1) and Sector-specific surveillance plans (Activity 3.2). The data produced from this project will provide recommendations for various interventions to improve the overall performance of the passive surveillance system for the participating industries.
More broadly, the Fisheries Research and Development Corporation R&D Plan 2020-2025 identified building capability and capacity for biosecurity as a priority. In alignment with the R&D plan, successful outcomes of this project will improve understanding of disease transmission pathways which will enhance biosecurity practices. It will improve allocation of biosecurity resources (by identifying the most effective and cost-efficient way of investing resources in surveillance to get the best return), minimise biosecurity threats (by enhancing passive surveillance to accelerate an early detection) and improve market access for associated industry producers (by providing quantitative information on their passive surveillance sensitivity as a market access negotiation tool).
Objectives: 1. Quantitatively evaluate the sensitivity of Australia’s passive surveillance system for white spot disease 2. Quantitatively evaluate the sensitivity of Australia’s passive surveillance system for megalocytiviruses Read moreRead less
Inequality, Prosperity and the Australian Welfare State. This project aims to clarify contested understandings of Australian inequality and the role of economic and social policies in addressing policy challenges going forward. The objective of the project is to generate significantly improved knowledge of inequality in Australia using innovative approaches of data splicing, decomposition, simulation and backcasting to fill research gaps and resolve contested interpretations. We aim to provide a ....Inequality, Prosperity and the Australian Welfare State. This project aims to clarify contested understandings of Australian inequality and the role of economic and social policies in addressing policy challenges going forward. The objective of the project is to generate significantly improved knowledge of inequality in Australia using innovative approaches of data splicing, decomposition, simulation and backcasting to fill research gaps and resolve contested interpretations. We aim to provide a benchmark and robust framework against which policy development after the current crisis can be evaluated. This project aims to provide significant benefits, keeping Australia at the forefront of research on inequality and public policy, strengthening links between researchers and policy makers.
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Developing A Cost-efficient Stock Assessment Program For Southern Calamari Fisheries
Funder
Fisheries Research and Development Corporation
Funding Amount
$496,827.00
Summary
Southern Calamari are important to multiple commercial and community fishery sectors in SA. Southern Calamari are now managed using a TACC for the commercial MSF and have specified resource allocations for recreational, Aboriginal/Traditional, Charter Boat, GSV prawn and SG prawn fisheries. However, the current assessment program does not capture the importance of this species and cannot support the level of management required. The primary outcome of this project will be to develop an assessmen ....Southern Calamari are important to multiple commercial and community fishery sectors in SA. Southern Calamari are now managed using a TACC for the commercial MSF and have specified resource allocations for recreational, Aboriginal/Traditional, Charter Boat, GSV prawn and SG prawn fisheries. However, the current assessment program does not capture the importance of this species and cannot support the level of management required. The primary outcome of this project will be to develop an assessment program for Southern Calamari in SA that can be used to assign stock status and provide TACC setting advice to fisheries management.
Like many cephalopod assessments, the current SA Southern Calamari assessment is basic as scientific advances have not occurred at the same rate as advances for finfish or crustacean assessment methods. Therefore, the successful development of an assessment program for Southern Calamari in SA would provide a valuable scientific contribution to several other Australian squid fisheries as they often encounter similar assessment difficulties
Overcoming key knowledge gaps and incorporating information on environmental drivers will be a key focus of this project, in order to develop an assessment that accounts for the full complexity of cephalopod population dynamics. However, there are limited resources to undertake an assessment in SA as the commercial MSF has a low gross value product (GVP) but has high assessment needs across several species. Therefore, a cost-effective assessment program must be developed to allow for its regular application, which is necessary for short lived species such as Southern Calamari.
The proposed project will address two FRDC strategic plan outcomes (Growth for enduring prosperity, and best practices and production systems) by developing a best practice assessment program that can be applied for Southern Calamari in SA and be extended for use in other fishery jurisdictions. An assessment program that provides confident management advice, such as TACC setting, will maximise resource use across all sectors by establishing a robust stock assessment that increases certainty in stock abundance and allows sustainable fishing strategies to be developed.
Objectives: 1. Review global cephalopod assessments to identify potential assessment methods for Southern Calamari and how environmental variables could be incorporated. 2. Evaluate the suitability of available fishery-dependent and fishery-independent data from the SG and GSV prawn fisheries to develop recruitment indices. 3. Develop Southern Calamari growth models for SG and GSV and evaluate the influence of environment on seasonal growth rates. 4. Outline the most suitable and cost-effective assessment program option for Southern Calamari in SG and GSV Read moreRead less