Variation in the arginine vasopressin 1a receptor (AVPR1a) gene, the social environment, general health and wellbeing. The project aims to investigate how the arginine vasopressin 1a gene affects gene expression and influences social behaviour and ultimately health and wellbeing. This research will contribute to understanding the importance of individual differences in social policy and interventions aimed at improving health and wellbeing.
International franchising success factors: A guide for Australian franchise systems. Australia is considered the most 'franchised' nation in the world. With 850 franchisors, it has over three times the number of systems per capita than the United States. However, Australian franchises are small due to the country's limited population, with 60% of systems holding fewer than 30 units. One third of Australian franchisors now operates internationally, however little is known about how they plan an ....International franchising success factors: A guide for Australian franchise systems. Australia is considered the most 'franchised' nation in the world. With 850 franchisors, it has over three times the number of systems per capita than the United States. However, Australian franchises are small due to the country's limited population, with 60% of systems holding fewer than 30 units. One third of Australian franchisors now operates internationally, however little is known about how they plan and implement their expansion strategies. It appears that franchisors are reacting to approaches made by overseas investors rather than proactively developing international expansion strategies. This research will examine the practices of successful exporters to develop a model of best practice for future activity in the sector.Read moreRead less
Digging deeper to improve yield stability. This project aims to provide innovative breeding solutions that harness the ‘hidden’ part of the plant, roots, to support the development of more productive crops in the face of climate variability. The project expects to generate new insights into the biology and genetics of root development in barley, a model cereal crop, by applying cutting-edge genome editing, phenotyping and genomics technologies. Anticipated outcomes include novel methodologies to ....Digging deeper to improve yield stability. This project aims to provide innovative breeding solutions that harness the ‘hidden’ part of the plant, roots, to support the development of more productive crops in the face of climate variability. The project expects to generate new insights into the biology and genetics of root development in barley, a model cereal crop, by applying cutting-edge genome editing, phenotyping and genomics technologies. Anticipated outcomes include novel methodologies to accelerate breeding for diverse production environments, with direct applications in barley, and other major cereals including wheat and oats. This should provide significant economic and social benefits to the Australian grains industry through yield stability amidst climate variability.Read moreRead less
Enabling Molecular Plant Breeding for Drought Adaptation Using Genome-to-Phenome Modelling Technologies. Effective molecular plant breeding for improved water productivity of sorghum would generate significant economic and social benefits for rural communities in NE Australia. There is a significant opportunity to expand the sorghum industry in the region. Despite the global financial crisis, global demand for meat continues to increase, generating strong demand from intensive livestock industri ....Enabling Molecular Plant Breeding for Drought Adaptation Using Genome-to-Phenome Modelling Technologies. Effective molecular plant breeding for improved water productivity of sorghum would generate significant economic and social benefits for rural communities in NE Australia. There is a significant opportunity to expand the sorghum industry in the region. Despite the global financial crisis, global demand for meat continues to increase, generating strong demand from intensive livestock industries for feed grain. Price is projected to return to high levels given continuing use of major feed grains for biofuel. A 10% increase in sorghum production would add net value of $48M annually, much via employment. The scientific content of this project positions Australia at the leading edge globally in this emerging research field. Read moreRead less
TraitCapture: Genomic modelling for plant phenomics under environmental stress. This project aims to develop software to integrate new hyper-spectral and 3D growth models of plant phenomics with population genomics to identify heritable developmental traits across varied environments. Genome wide association studies aim to then be used to identify causal genes. Functional structural plant models incorporating genetic variation will be used to predict growth under simulated stress environments. ....TraitCapture: Genomic modelling for plant phenomics under environmental stress. This project aims to develop software to integrate new hyper-spectral and 3D growth models of plant phenomics with population genomics to identify heritable developmental traits across varied environments. Genome wide association studies aim to then be used to identify causal genes. Functional structural plant models incorporating genetic variation will be used to predict growth under simulated stress environments. The research team unites international industry, the Australian Plant Phenomics Facility, and university statistical geneticists. TraitCapture software will use open standards applicable to both controlled and field environments enabling plant breeders to pre-select adaptive traits to increase crop productivity under environmental stress.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC200100022
Funder
Australian Research Council
Funding Amount
$4,883,406.00
Summary
ARC Training Centre for Information Resilience. The proposed centre aims at building workforce capacity in Australian organisations to create, protect and sustain agile data pipelines, capable of detecting and responding to failures and risks across the information value chain in which the data is sourced, shared, transformed, analysed and consumed. Building on strong foundations of responsible data science, the centre will bring together end-users, technology providers, and cutting-edge researc ....ARC Training Centre for Information Resilience. The proposed centre aims at building workforce capacity in Australian organisations to create, protect and sustain agile data pipelines, capable of detecting and responding to failures and risks across the information value chain in which the data is sourced, shared, transformed, analysed and consumed. Building on strong foundations of responsible data science, the centre will bring together end-users, technology providers, and cutting-edge research, to lift the socio-technical barriers to data driven transformation and develop resilient data pipelines capable of delivering game-changing productivity gains that position Australian organisations at the forefront of technology leadership and value creation from data assets. Read moreRead less
ARC Research Network for a Secure Australia. The Research Network for a Secure Australia (RNSA) is a multi-disciplinary collaboration established to strengthen Australia's research capacity for protecting critical infrastructure from natural or human-caused disasters including terrorist acts. The RNSA will facilitate a knowledge-sharing network for research organisations, government and the private sector to develop research tools and methods to mitigate emerging safety and security issues relat ....ARC Research Network for a Secure Australia. The Research Network for a Secure Australia (RNSA) is a multi-disciplinary collaboration established to strengthen Australia's research capacity for protecting critical infrastructure from natural or human-caused disasters including terrorist acts. The RNSA will facilitate a knowledge-sharing network for research organisations, government and the private sector to develop research tools and methods to mitigate emerging safety and security issues relating to critical infrastructure. World-leaders with extensive national and international linkages in relevant scientific, engineering and technological research will lead this collaboration. The RNSA will launch various activities to foster research collaboration and nurture young investigators.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
Industrial Transformation Training Centres - Grant ID: IC230100036
Funder
Australian Research Council
Funding Amount
$4,999,600.00
Summary
ARC Training Centre for Radiation Innovation. This Centre aims to train the next generation of transdisciplinary leaders to enable, grow and transform industries that utilise or are impacted by radiation. Rapid growth in the natural resources, health, space and national security sectors urgently requires a highly capable workforce with scientific and regulatory knowledge to develop new technologies and social licence needs to maximise benefits. Outcomes include new methods of radiopharmaceutical ....ARC Training Centre for Radiation Innovation. This Centre aims to train the next generation of transdisciplinary leaders to enable, grow and transform industries that utilise or are impacted by radiation. Rapid growth in the natural resources, health, space and national security sectors urgently requires a highly capable workforce with scientific and regulatory knowledge to develop new technologies and social licence needs to maximise benefits. Outcomes include new methods of radiopharmaceutical production, more resilient spacecraft and robust regulatory frameworks. Industries and communities will benefit from a future workforce prepared for safe adoption, development and delivery of emerging techniques and advanced radiation technologies, enhancing Australia’s prosperity and security.Read moreRead less
ARC Centre of Excellence for Mathematical and Statistical Frontiers of Big Data, Big Models, New Insights. In today's world, massive amounts of data in a variety of forms are collected daily from a multitude of sources. Many of the resulting data sets have the potential to make vital contributions to society, business and government, as well as impact on international developments, but are so large or complex that they are difficult to process and analyse using traditional tools. The aim of this ....ARC Centre of Excellence for Mathematical and Statistical Frontiers of Big Data, Big Models, New Insights. In today's world, massive amounts of data in a variety of forms are collected daily from a multitude of sources. Many of the resulting data sets have the potential to make vital contributions to society, business and government, as well as impact on international developments, but are so large or complex that they are difficult to process and analyse using traditional tools. The aim of this Centre is to create innovative mathematical and statistical models that can uncover the knowledge concealed within the size and complexity of these big data sets, with a focus on using the models to deliver insight into problems vital to the Centre's Collaborative Domains: Healthy People, Sustainable Environments and Prosperous Societies.Read moreRead less