ARC Financial Integrity Research Network. The integrity of the financial system is constantly under stress because of the development of ever more complex financial instruments, structures and strategies, and the associated research technologies that continues to accelerate worldwide. FIRN's vision is to harness the considerable strengths of Australia's internationally renowned finance, accounting and economics researchers into a research agenda to address issues concerning the integrity of the ....ARC Financial Integrity Research Network. The integrity of the financial system is constantly under stress because of the development of ever more complex financial instruments, structures and strategies, and the associated research technologies that continues to accelerate worldwide. FIRN's vision is to harness the considerable strengths of Australia's internationally renowned finance, accounting and economics researchers into a research agenda to address issues concerning the integrity of the financial system. It will enable Australian research in this area to match the scale and impact of similar research in other major international financial centres, and play an essential role in placing Australia among the world's leaders in financial markets related research.Read moreRead less
Legal and social dynamics of eBook lending in Australia’s public libraries. Legal and social dynamics of eBook lending in Australia’s public libraries. This project aims to develop an evidence base of quantitative and qualitative data about how eBooks are used in libraries. EBooks have tremendous beneficial potential, particularly for Australians in remote areas and those with impaired mobility or vision. However, libraries’ rights to acquire and lend them are more restricted than for physical b ....Legal and social dynamics of eBook lending in Australia’s public libraries. Legal and social dynamics of eBook lending in Australia’s public libraries. This project aims to develop an evidence base of quantitative and qualitative data about how eBooks are used in libraries. EBooks have tremendous beneficial potential, particularly for Australians in remote areas and those with impaired mobility or vision. However, libraries’ rights to acquire and lend them are more restricted than for physical books. Libraries and legal, social and data science researchers will investigate eBook lending practices and understand their social impacts. The project will identify ways of reforming policy, law, and practice to help libraries fulfil their public interest missions. This project is expected to enable libraries to extract more value from existing public investments.Read moreRead less
Industrial Transformation Research Hubs - Grant ID: IH130200012
Funder
Australian Research Council
Funding Amount
$2,748,358.00
Summary
ARC Research Hub for Basin GEodyNamics and Evolution of SedImentary Systems (GENESIS). ARC Research Hub for Basin GEodyNamics and Evolution of SedImentary Systems (GENESIS). This Research Hub aims to undertake simultaneous modelling of deep Earth and surface processes, spanning basin scales to individual sediment grains. The Hub will develop and apply cutting-edge basin simulation approaches to transform the seeding and testing of basin exploration models, extending their viability to complex, ....ARC Research Hub for Basin GEodyNamics and Evolution of SedImentary Systems (GENESIS). ARC Research Hub for Basin GEodyNamics and Evolution of SedImentary Systems (GENESIS). This Research Hub aims to undertake simultaneous modelling of deep Earth and surface processes, spanning basin scales to individual sediment grains. The Hub will develop and apply cutting-edge basin simulation approaches to transform the seeding and testing of basin exploration models, extending their viability to complex, inaccessible remote and deep exploration targets. The Hub will fuse multidimensional data into five dimensional basin models (space and time, with uncertainty estimates) by coupling the evolution of mantle flow, crustal deformation, erosion and sedimentary processes, achieving a quantum leap in basin modelling and petroleum systems analysis.Read moreRead less
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.
Protecting while they prosper? Organisational responses to whistleblowing. This project aims to examine the adequacy of organisational responses to whistleblowing (employee reporting of wrongdoing). So far, research into public-interest whistleblowing has revealed much about the incidence, significance and experience of whistleblowers. This project now extends the research to the other side of the issue — the organisations. By comparing employee and managerial experience in multiple public and p ....Protecting while they prosper? Organisational responses to whistleblowing. This project aims to examine the adequacy of organisational responses to whistleblowing (employee reporting of wrongdoing). So far, research into public-interest whistleblowing has revealed much about the incidence, significance and experience of whistleblowers. This project now extends the research to the other side of the issue — the organisations. By comparing employee and managerial experience in multiple public and private sector organisations in Australia and New Zealand, the project intends to identify the factors that influence good and bad responses across a range of institutions; provide a clearer basis for reform of policies, procedures and law; and set benchmarks for comparative research worldwide.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE210100043
Funder
Australian Research Council
Funding Amount
$539,000.00
Summary
The Australian Royal Commissions and Public Inquiries Library. This project aims to provide comprehensive free access online to the reports of all royal commissions and other public inquiries held in Australia since Federation. The project
intends to support a wide understanding of the pivotal role public inquiries play in the development of Australian law and public policy. It is expected that these reports will be comprehensively integrated with all other legislation, case law and law reform r ....The Australian Royal Commissions and Public Inquiries Library. This project aims to provide comprehensive free access online to the reports of all royal commissions and other public inquiries held in Australia since Federation. The project
intends to support a wide understanding of the pivotal role public inquiries play in the development of Australian law and public policy. It is expected that these reports will be comprehensively integrated with all other legislation, case law and law reform reports on AustLII to promote a greater understanding of how the balance is struck between inquisitorial fact-finding and the right to procedural fairness of participants and of how justice is delivered through the inquiry function of public bodies.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
Sewer Monitoring and Management in the Digital Era. Overflow, flooding, corrosion, and odorous emissions are persistent issues for utilities managing sewers. Current sewer maintenance is reactive, and focuses on solving problems in local networks, despite that optimal solutions require a system-wide approach. Capitalising on recent development in IoT sensors, wireless transmission, and machine learning, this multidisciplinary project aims to develop digital-twin supported data analytics for proa ....Sewer Monitoring and Management in the Digital Era. Overflow, flooding, corrosion, and odorous emissions are persistent issues for utilities managing sewers. Current sewer maintenance is reactive, and focuses on solving problems in local networks, despite that optimal solutions require a system-wide approach. Capitalising on recent development in IoT sensors, wireless transmission, and machine learning, this multidisciplinary project aims to develop digital-twin supported data analytics for proactive sewer management including network-wide real-time control. The project aims to generate significant social, environmental and economic benefits by enabling utilities to better protect public and environmental health, reduce sewer odour and greenhouse gas emissions, and extend sewer asset life.Read moreRead less
Kinematica: Inference-Based Rapid Resource Exploration Scenario Testing. This project aims to build a new workflow for improving resource exploration evaluation by Australian companies and applied to three practical industry cases in frontier basins. The expected outcomes of this proposal are: detailed risk analysis of oil and gas prospectivity in frontier basins onshore and offshore Australia; a new strategic collaboration between Australian industry, government and universities; students train ....Kinematica: Inference-Based Rapid Resource Exploration Scenario Testing. This project aims to build a new workflow for improving resource exploration evaluation by Australian companies and applied to three practical industry cases in frontier basins. The expected outcomes of this proposal are: detailed risk analysis of oil and gas prospectivity in frontier basins onshore and offshore Australia; a new strategic collaboration between Australian industry, government and universities; students trained in advanced computational methods suitable for the evolving Australian oil and gas industry; and a software product that has high commericalisation potential. The project will transfer knowledge from European industry and universities to Australia and has applications for mineral prospectivity in sedimentary basins. Read moreRead less
An exploration of the frequency, outcomes, enablers and constraints of bystander anti-racism. Bystander anti-racism involves ordinary people speaking up and taking prosocial action when witnessing racism. This project will develop empirical understandings of this underexplored, yet potentially powerful, form of anti-racism, including its frequency, the outcome of action, and factors that enable and constrain bystander anti-racism.