Threshold models in micro-econometrics with applications to empirical models of health. The aim of this project is to develop and apply new statistical approaches to endogenously identify non-linear relationships between explanatory variable(s) and the response variable in non-linear econometric models and to illustrate these with applications important to empirical health economics. Literature proliferates in linear models with non-linear effects, but in health economics non-linear models domin ....Threshold models in micro-econometrics with applications to empirical models of health. The aim of this project is to develop and apply new statistical approaches to endogenously identify non-linear relationships between explanatory variable(s) and the response variable in non-linear econometric models and to illustrate these with applications important to empirical health economics. Literature proliferates in linear models with non-linear effects, but in health economics non-linear models dominate. This project will generalise these techniques to allow for various forms of the threshold variable(s), including categorical and continuous, endogenous and exogenous, and those measured with error.Read moreRead less
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
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
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE200100049
Funder
Australian Research Council
Funding Amount
$900,000.00
Summary
Whopping Volta GPU Cluster – Transforming Artificial Intelligence Research. Artificial intelligence (AI), as it continues to grow and evolve, is taking an increasingly leading role in strategic plans of the world’s leading economies, IT companies, and universities, with the promise to be a key driver in innovation, science, education, and society. This project will establish a whopping Volta graphical processing unit Cluster (wVGC) with the aim of smashing current impediments to compute-intensiv ....Whopping Volta GPU Cluster – Transforming Artificial Intelligence Research. Artificial intelligence (AI), as it continues to grow and evolve, is taking an increasingly leading role in strategic plans of the world’s leading economies, IT companies, and universities, with the promise to be a key driver in innovation, science, education, and society. This project will establish a whopping Volta graphical processing unit Cluster (wVGC) with the aim of smashing current impediments to compute-intensive AI research. The wVGC features a contemporary HPC system equipped with 120 most advanced NVIDIA Volta GPUs distributed in 30 high capable nodes. The wVGC will transform AI research in Australia, putting us on the same footing as leading research groups around the globe, and at the forefront of the world’s AI revolution.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE110100049
Funder
Australian Research Council
Funding Amount
$600,000.00
Summary
Establishment of the Australian data archive: an integrated research facility for the social sciences and humanities. The Australian data archive will enable Australia's leading researchers to address complex social, economic and environmental problems, leading to the development of evidence based policy. The archive will have an open access policy which will ensure that the general public, media and government and non-government agencies are able to examine the data used by researchers to arriv ....Establishment of the Australian data archive: an integrated research facility for the social sciences and humanities. The Australian data archive will enable Australia's leading researchers to address complex social, economic and environmental problems, leading to the development of evidence based policy. The archive will have an open access policy which will ensure that the general public, media and government and non-government agencies are able to examine the data used by researchers to arrive at their conclusions.Read moreRead less
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.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE170100106
Funder
Australian Research Council
Funding Amount
$780,000.00
Summary
A global fireball observatory. This project aims to expand the Desert Fireball Network (DFN) and build a Global Fireball Observatory. Nearly everything known about the origin and evolution of the solar system comes from analysis of meteorite falls, but scientists have almost no constraint on where they come from. This project will address this constraint by tracking hundreds of meteorite falls, and pinpointing each one’s origin in the solar system. Benefits include capitalising on the innovation ....A global fireball observatory. This project aims to expand the Desert Fireball Network (DFN) and build a Global Fireball Observatory. Nearly everything known about the origin and evolution of the solar system comes from analysis of meteorite falls, but scientists have almost no constraint on where they come from. This project will address this constraint by tracking hundreds of meteorite falls, and pinpointing each one’s origin in the solar system. Benefits include capitalising on the innovations and technologies that underpinned the DFN, and leveraging a NASA partnership for administrative support and advanced instrumentation development. Tracking for space situational awareness is also expected to benefit Australian national security.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
Assessing the ecosystem-wide risks of threatened species translocation. Assessing the ecosystem-wide risks of threatened species translocation. This project aims to develop the first quantitative risk assessment framework to improve decisions about moving threatened species to new places. Moving threatened plants and animals to new environments, or reintroducing them where they previously persisted, is a growing focus of conservation. Moving species can have unanticipated effects on other specie ....Assessing the ecosystem-wide risks of threatened species translocation. Assessing the ecosystem-wide risks of threatened species translocation. This project aims to develop the first quantitative risk assessment framework to improve decisions about moving threatened species to new places. Moving threatened plants and animals to new environments, or reintroducing them where they previously persisted, is a growing focus of conservation. Moving species can have unanticipated effects on other species in the ecosystem. Although the International Union for Conservation of Nature deems ecosystem-wide risk assessments essential for conservation translocations, no framework exists to assess these risks and inform these decisions. New tools for assessing the risks of conservation translocations are expected to improve global and local conservation outcomes.Read moreRead less
Diagnosing river health using invertebrate traits and DNA barcodes. Diagnosing river health using invertebrate traits and DNA barcodes. This project aims to develop indices that link change in invertebrate communities to specific environmental stressors, and combine these indices with innovative, low cost molecular approaches to species identification to rapidly identify the causes of decline. River health assessment methods, usually based on aquatic invertebrates, identify if rivers are impaire ....Diagnosing river health using invertebrate traits and DNA barcodes. Diagnosing river health using invertebrate traits and DNA barcodes. This project aims to develop indices that link change in invertebrate communities to specific environmental stressors, and combine these indices with innovative, low cost molecular approaches to species identification to rapidly identify the causes of decline. River health assessment methods, usually based on aquatic invertebrates, identify if rivers are impaired but must be developed to identify the causes of decline. The intended outcomes are improved sustainable water resource management within and among states, and improved natural resource policy development.Read moreRead less