Linkage Infrastructure, Equipment And Facilities - Grant ID: LE130100156
Funder
Australian Research Council
Funding Amount
$210,000.00
Summary
Computational infrastructure for machine learning in computer vision. The many trillions of images stored on computers around the world, including more than 100 billion on Facebook alone, represent exactly the information needed to develop artificial vision. All we need do is extract it. This project will develop the computational infrastructure required to allow Australian researchers to achieve this goal.
Nonlinear spatial and spatiotemporal econometrics: theory with applications. Modern societies like Australia have major challenges in the forecasting, measuring and managing of risks associated with global economic and environmental/climate changes. These tasks require advanced econometric techniques in modelling and forecasting of complex nonlinear spatiotemporal variability in economic and social systems. This project will develop frontier econometric technologies that enable more accurate eco ....Nonlinear spatial and spatiotemporal econometrics: theory with applications. Modern societies like Australia have major challenges in the forecasting, measuring and managing of risks associated with global economic and environmental/climate changes. These tasks require advanced econometric techniques in modelling and forecasting of complex nonlinear spatiotemporal variability in economic and social systems. This project will develop frontier econometric technologies that enable more accurate economic and climate forecasts. The tools produced will provide Australia's scientists and policy-makers with a greater capacity to manage the risks associated with these challenges. A side-benefit of the research will be high-quality publications that enhance the nation's reputation in this cutting edge research.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE160100090
Funder
Australian Research Council
Funding Amount
$250,000.00
Summary
Computational infrastructure for developing deep machine learning models. Computational infrastructure for developing deep machine learning models:
The computational infrastructure for developing deep machine learning models aims to enable new developments in machine learning of deep neural network models by providing the specialised computing necessary to train and evaluate the networks. In the last three years, deep networks have smashed previous performance ceilings for tasks such as object ....Computational infrastructure for developing deep machine learning models. Computational infrastructure for developing deep machine learning models:
The computational infrastructure for developing deep machine learning models aims to enable new developments in machine learning of deep neural network models by providing the specialised computing necessary to train and evaluate the networks. In the last three years, deep networks have smashed previous performance ceilings for tasks such as object recognition in images, speech recognition and automatic translation, bringing the prospect of machine intelligence closer than ever. Modern machine learning techniques have had huge impact in the last decade in fields such as robotics, computer vision and data analytics. The facility would enable Australian researchers to develop, learn and apply deep networks to problems of national importance in robotic vision and big data analytics. Read moreRead less
New methods for modelling and forecasting risk. The project will develop and assess risk measures and risk forecasting. It will assess why customary measures failed in the financial crisis and develop new and better techniques. The project is unique in terms of the scope and range of methods to be applied and tested. It will be of value to investors, institutions and regulators alike.
Improving the face of cosmetic medicine - an automatic three-dimensional facial analysis system for facial rejuvenation. 'How will I look?' is the most common question to cosmetic doctors from patients considering facial rejuvenation. This project will answer this question for the first time by providing patients with a three-dimensional model of their post-treatment face as well as informing cosmetic doctors exactly how to achieve the patient's desired face.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE130100131
Funder
Australian Research Council
Funding Amount
$645,000.00
Summary
The AustLit resource: supporting research in studies of Australian literary and narrative cultures. AustLit traces the history of Australia’s engagement with the art of story by creating an innovative web-based environment where all aspects of literary history can be explored, analysed and shared. The 2013 program will broaden AustLit’s information base in areas ranging from contemporary multi-lingual publishing to publishing in the colonial era.
Engaging Students during the Early Years of Secondary School. This project aims to design, test and share sustainable strategies to support teachers and enable students from low socioeconomic communities to achieve success. The greatest decreases in students’ interest and effort occur when they transition into secondary school, with students from low socioeconomic communities at greatest risk of disengagement. What can teachers do to engage their students during this key life transition? This pr ....Engaging Students during the Early Years of Secondary School. This project aims to design, test and share sustainable strategies to support teachers and enable students from low socioeconomic communities to achieve success. The greatest decreases in students’ interest and effort occur when they transition into secondary school, with students from low socioeconomic communities at greatest risk of disengagement. What can teachers do to engage their students during this key life transition? This project plans to identify teacher behaviours that motivate students in their first year at secondary school. Using an experimental design with a representative sample of 150 teachers and 1500 students in low socioeconomic areas across three states, the project plans to test whether an online professional learning program for teachers can improve student engagement and achievement. This cost-effective and scalable intervention is designed for widespread dissemination to Australian teachers.Read moreRead less
Are the kids alright? Understanding the wellbeing of Australian children in their middle years. This project will produce the first comprehensive national stock-take of wellbeing among Australian children in their middle years, with a special focus on children who experience disadvantage. Findings will reflect children's views and experiences, have direct policy relevance and lay the groundwork for comparing and monitoring of child wellbeing.
Industrial Transformation Research Hubs - Grant ID: IH140100013
Funder
Australian Research Council
Funding Amount
$3,972,614.00
Summary
ARC Research Hub for Legumes for Sustainable Agriculture. ARC Research Hub for Legumes for Sustainable Agriculture. This research hub aims to provide Australian growers and industrial stakeholders with improved plant materials to maximise production, environmental sustainability and profitability. In particular, the research aims to improve the nitrogen delivery capacity of legumes and their resilience to abiotic stress, which will be an important consideration as our climate changes. Grain legu ....ARC Research Hub for Legumes for Sustainable Agriculture. ARC Research Hub for Legumes for Sustainable Agriculture. This research hub aims to provide Australian growers and industrial stakeholders with improved plant materials to maximise production, environmental sustainability and profitability. In particular, the research aims to improve the nitrogen delivery capacity of legumes and their resilience to abiotic stress, which will be an important consideration as our climate changes. Grain legumes are often grown in rotation with cereal crops for their high nutritional seed value and their unique ability to develop a self-sufficient nitrogen-fixing symbiosis with soil bacteria. Maintaining legume productivity against the challenges of climate change and the need for increased food production is important to the future of Australian agriculture.Read moreRead less
Biodiversity and population genetics of groundwater calcrete ecosystems of central Western Australia. This project will lead to documentation of a unique subterranean ecosystem of world acclaim, representing a significant component of the biodiversity of the Australian arid zone. It will further contribute to sustainable management of groundwater ecosystems and provide information that can be used to predict and monitor how future water use and climate change may impact on these ecosystems. Resu ....Biodiversity and population genetics of groundwater calcrete ecosystems of central Western Australia. This project will lead to documentation of a unique subterranean ecosystem of world acclaim, representing a significant component of the biodiversity of the Australian arid zone. It will further contribute to sustainable management of groundwater ecosystems and provide information that can be used to predict and monitor how future water use and climate change may impact on these ecosystems. Results generated will provide the knowledge base required to improve the efficiency and scientific rigour of the environmental review process for major resource projects, leading to economic benefits to the mining and environmental consultancy industries, and to Australia in general.Read moreRead less