Industrial Transformation Training Centres - Grant ID: IC230100016
Funder
Australian Research Council
Funding Amount
$5,000,000.00
Summary
ARC Training Centre in Predictive Breeding for Agricultural Futures. This Centre aims to develop the advanced capacity needed to secure Australia’s food and fibre production and export value into the future. Leveraging immense industry support, the Centre expects to develop and integrate cutting-edge plant and animal breeding technologies and deliver world-class training that addresses critical demand for highly skilled industry leaders. Expected outcomes include a future-ready predictive breedi ....ARC Training Centre in Predictive Breeding for Agricultural Futures. This Centre aims to develop the advanced capacity needed to secure Australia’s food and fibre production and export value into the future. Leveraging immense industry support, the Centre expects to develop and integrate cutting-edge plant and animal breeding technologies and deliver world-class training that addresses critical demand for highly skilled industry leaders. Expected outcomes include a future-ready predictive breeding industry able to transform data into optimised decisions, and the human capacity to drive it. This should provide significant benefits to enhance the sustainability and profitability of all major Australian agriculture sectors, including livestock, grains, horticulture, cotton, wine, dairy, forestry and fisheries.Read moreRead less
Comprehending and modelling the workings of the animal brain. Truly understanding how the brain operates is a grand challenge of 21st century neuroscience. Progress toward this goal can be made through studying small-brained animals, like the honey bee. This project aims to use microscopy and pharmacology to analyse the neural mechanisms by which bees learn and classify complex things. This will enable the construction of a computational model of decision making in the bee brain. Analysing this ....Comprehending and modelling the workings of the animal brain. Truly understanding how the brain operates is a grand challenge of 21st century neuroscience. Progress toward this goal can be made through studying small-brained animals, like the honey bee. This project aims to use microscopy and pharmacology to analyse the neural mechanisms by which bees learn and classify complex things. This will enable the construction of a computational model of decision making in the bee brain. Analysing this model will test what is understood about the operation of the animal brain, and what simulates it. This project aims to reveal how neural circuits make complex decisions; establish key principles and foundational studies for comprehending larger more complex brains, and yield new approaches to machine learning.Read moreRead less
Transgenerational Consequences of Different Environmental Experiences. The project aims to deliver an integrative overview of behavioural, evolutionary and environmental epigenetics. In particular, by studying why stress-related experiences of organisms (e.g. exposure to toxins) can be passed onto the future generations regardless of its seemingly fitness-reducing impacts. It also aims to test if the seemingly beneficial effect of non-stress related experiences (e.g. environmental enrichment) ca ....Transgenerational Consequences of Different Environmental Experiences. The project aims to deliver an integrative overview of behavioural, evolutionary and environmental epigenetics. In particular, by studying why stress-related experiences of organisms (e.g. exposure to toxins) can be passed onto the future generations regardless of its seemingly fitness-reducing impacts. It also aims to test if the seemingly beneficial effect of non-stress related experiences (e.g. environmental enrichment) can be inherited transgenerationally. This project involves both research synthesis (e.g. meta-analysis) and experiments on zebrafish employing cutting-edge statistical, computational and molecular methods along with behavioural assays. Also, the outcomes of the synthesis are expected to guide future work in the field. Read moreRead less
Stable on-demand optimization for workforce and fleet logistics management. This project aims to conceive, develop and deploy innovative methodologies for stable on-demand workforce management and fleet logistics based on advanced decision-support systems. The outcome of this project will provide a new cloud-based real-time Optimisation Software-as-a-Service (OSaaS) platform that allows businesses to improve their productivity while reducing operating costs and their environmental footprint. Thi ....Stable on-demand optimization for workforce and fleet logistics management. This project aims to conceive, develop and deploy innovative methodologies for stable on-demand workforce management and fleet logistics based on advanced decision-support systems. The outcome of this project will provide a new cloud-based real-time Optimisation Software-as-a-Service (OSaaS) platform that allows businesses to improve their productivity while reducing operating costs and their environmental footprint. This is expected to support the manufacturing, retail, delivery and mobile fleets industries.Read moreRead less
Ethical and Social Issues in Translating Epigenetics into Antenatal Care. This project aims to investigate how knowledge about the intergenerational transmission of health and disease is shaping antenatal care in Australia. It expects to generate new knowledge about how the science of epigenetics can be used to address social inequality and is anticipated to have impact across the social sciences, bioethics and public health. Expected outcomes of the project include novel theoretical approaches ....Ethical and Social Issues in Translating Epigenetics into Antenatal Care. This project aims to investigate how knowledge about the intergenerational transmission of health and disease is shaping antenatal care in Australia. It expects to generate new knowledge about how the science of epigenetics can be used to address social inequality and is anticipated to have impact across the social sciences, bioethics and public health. Expected outcomes of the project include novel theoretical approaches to the ethics of pregnancy, along with guidance tools to shape the use of epigenetics in antenatal care and social policy to reduce social inequalities. This should provide significant benefits, improving information and support available to vulnerable women as they negotiate maternal health and social services. Read moreRead less
Non-urban water regulation: next generation compliance & enforcement . This project aims to develop the next generation of regulatory technology in non-urban water compliance and enforcement. Effective technologies are needed to make government regulation more efficient, reduce regulatory burdens and improve compliance with complex laws. This project delivers new ways to optimise regulatory technologies that drive innovation, reduce costs and enhance sustainable water use. Expected outcomes incl ....Non-urban water regulation: next generation compliance & enforcement . This project aims to develop the next generation of regulatory technology in non-urban water compliance and enforcement. Effective technologies are needed to make government regulation more efficient, reduce regulatory burdens and improve compliance with complex laws. This project delivers new ways to optimise regulatory technologies that drive innovation, reduce costs and enhance sustainable water use. Expected outcomes include regulatory guidance strategies and training, advances in applied regulatory theory, and innovative technology tools capturing the complexity of water regulation and supporting decision-making. This will provide public resource savings and ensure fairness and effectiveness of water compliance and enforcement.Read moreRead less
Incentivised strategic traffic assignment: bi-level transport optimisation. This project aims to advance the fundamental knowledge base and methodological modelling capacity related to traffic network assignment representing complex incentive structures such as network pricing, behavioural shift inducement, dynamic speed control and information-provision. Expected outcomes include new equilibrium formulations characterising traveller responses to, and interactions with, incentive structures whil ....Incentivised strategic traffic assignment: bi-level transport optimisation. This project aims to advance the fundamental knowledge base and methodological modelling capacity related to traffic network assignment representing complex incentive structures such as network pricing, behavioural shift inducement, dynamic speed control and information-provision. Expected outcomes include new equilibrium formulations characterising traveller responses to, and interactions with, incentive structures while maintaining complex stochastic adaptive behaviours from previous research, new network routing algorithms, and a novel bi-level optimisation approach for seeking optimal incentive policies. The project will provide a scientific basis for the quantified network evaluation of incentivisation strategies that will support enhanced transport planning thereby improving mobility across society.Read moreRead less
Quantifying the impact of phenotypic plasticity on population persistence. This project aims to understand how environmental sensitivity in growth, survival and reproduction of individuals in a population influence population dynamics using terrestrial ectotherms. It will provide significant new insights into whether phenotypic plasticity promotes population persistence in the face of environmental change. Expected outcomes include approaches for incorporating environmental effects in population ....Quantifying the impact of phenotypic plasticity on population persistence. This project aims to understand how environmental sensitivity in growth, survival and reproduction of individuals in a population influence population dynamics using terrestrial ectotherms. It will provide significant new insights into whether phenotypic plasticity promotes population persistence in the face of environmental change. Expected outcomes include approaches for incorporating environmental effects in population models for threatened species, open databases that can be used to estimate demographic information for species lacking data, and an assessment of what characteristics make some species more sensitive to the environment than others. Benefits include quantitative training and tools for managing Australia's rich biodiversity.Read moreRead less
Ship response under corrosion, fatigue and complex sea-state environments. This project will improve understanding of the gradual deterioration of ships and maritime structures subject to metal corrosion, fatigue and extreme sea-state conditions. Increasingly such understanding is necessary for optimal asset management decisions. These include the potential economic, personnel and other risks involved for ship owners and operators, including the Royal Australian Navy (RAN). The project will use ....Ship response under corrosion, fatigue and complex sea-state environments. This project will improve understanding of the gradual deterioration of ships and maritime structures subject to metal corrosion, fatigue and extreme sea-state conditions. Increasingly such understanding is necessary for optimal asset management decisions. These include the potential economic, personnel and other risks involved for ship owners and operators, including the Royal Australian Navy (RAN). The project will use numerical simulation. It will tackle the Fluid-Structure Interaction problem of ships in waves by integrating Finite Element structural response analysis with cutting-edge Smoothed Particle Hydrodynamics methods. The outcomes will provide new insight into remaining asset life and for exploring optimal maintenance strategiesRead moreRead less
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