Integrating technological and organisational approaches to enhance the safety of roadworkers. Across Australia about 50 people are killed and 750 are injured in crashes at roadworks each year, costing hundreds of millions of dollars. Making roadworks safer is a complicated task, involving multiple organisations as well as the motoring public. This project will develop and evaluate an integrated program including research into new technologies, testing of strategies to improve organisational and ....Integrating technological and organisational approaches to enhance the safety of roadworkers. Across Australia about 50 people are killed and 750 are injured in crashes at roadworks each year, costing hundreds of millions of dollars. Making roadworks safer is a complicated task, involving multiple organisations as well as the motoring public. This project will develop and evaluate an integrated program including research into new technologies, testing of strategies to improve organisational and safety culture, and investigation of education approaches. At a time of unprecedented spending on improving Australia's road infrastructure, this research will contribute to ensuring the safety of the workers directly involved in the road improvements necessary to achieve major long-term economic and social benefits.Read moreRead less
Learned Academies Special Projects - Grant ID: LA170100025
Funder
Australian Research Council
Funding Amount
$210,000.00
Summary
Big data in Australian research: issues, challenges and opportunities. This project aims to enhance discovery, productivity and translation within and between disciplines in Australian research through better utilisation of big data. Advances in our ability to capture, store, process and analyse large data sets are transforming many parts of society, including the research sector. Machine learning, for example, will allow data-driven analysis of massive, unstructured data sets such as social med ....Big data in Australian research: issues, challenges and opportunities. This project aims to enhance discovery, productivity and translation within and between disciplines in Australian research through better utilisation of big data. Advances in our ability to capture, store, process and analyse large data sets are transforming many parts of society, including the research sector. Machine learning, for example, will allow data-driven analysis of massive, unstructured data sets such as social media archives or financial records in ways that will shed new light on many complex research questions. This project will map existing capability and infrastructure within and across disciplines, identify common and discipline-specific practices, challenges and opportunities, and assess technology, infrastructure, training and collaboration priorities for Australia.
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Intelligent Incident Management for Software-Intensive Systems. This project aims to develop intelligent incident management methods for software-intensive systems. Incidents are unplanned system interruptions or outages that could affect the normal operations of an organization and cause huge economic loss. This project expects to develop innovative, Artificial Intelligence (AI) based methods for automated incident management, including incident detection, incident identification, and incident ....Intelligent Incident Management for Software-Intensive Systems. This project aims to develop intelligent incident management methods for software-intensive systems. Incidents are unplanned system interruptions or outages that could affect the normal operations of an organization and cause huge economic loss. This project expects to develop innovative, Artificial Intelligence (AI) based methods for automated incident management, including incident detection, incident identification, and incident triage. Expected outcomes of the project include a set of novel methods and tools that can facilitate incident diagnosis and resolution. This project will provide significant benefits, such as improving the availability of software-intensive systems and reducing the economic loss caused by the incidents. Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE210100098
Funder
Australian Research Council
Funding Amount
$1,974,000.00
Summary
Enabling the Future of the Australian Collider Physics Program. The project aims to fund the continuation of Australia’s very successful experimental particle physics program to explore how the universe works at it's fundamental level. We interrogate subatomic matter at the energy frontier at CERN's Large Hadron Collider and the intensity frontier at Japan's SuperKEKB collider. The basic contributions required for Australian membership of these two key programs will enable scientists to continue ....Enabling the Future of the Australian Collider Physics Program. The project aims to fund the continuation of Australia’s very successful experimental particle physics program to explore how the universe works at it's fundamental level. We interrogate subatomic matter at the energy frontier at CERN's Large Hadron Collider and the intensity frontier at Japan's SuperKEKB collider. The basic contributions required for Australian membership of these two key programs will enable scientists to continue capitalising on decades of hard work and accumulated expertise, significant project outcomes and benefits include: access for Australia to advanced instruments and international research facilities; training of the next generation of researchers in detector construction and operation; and a rich science program.Read moreRead less
Exploiting dynamic information in mobile networks. Mobile and wireless networks are ideal for Australia as they provide both low set-up costs and environmentally robust infrastructures. Exploiting mobility to enhance efficiency and cost will place Australia at the forefront of research in mobile networking and will contribute to the worldwide effort towards sustainability and survivability.
Local computations in dynamic networks. This project aims to identify and exploit dynamic networks, and investigate how locally available knowledge affects the computability or the communication complexity of solving a problem. Mobile, wireless, social and other ubiquitous communication networks involve autonomous and highly dynamic entities, but these are often treated as a liability instead of an asset, even when they enhance the network. Local knowledge in the entities’ neighbourhood can make ....Local computations in dynamic networks. This project aims to identify and exploit dynamic networks, and investigate how locally available knowledge affects the computability or the communication complexity of solving a problem. Mobile, wireless, social and other ubiquitous communication networks involve autonomous and highly dynamic entities, but these are often treated as a liability instead of an asset, even when they enhance the network. Local knowledge in the entities’ neighbourhood can make the network more efficient. This project is expected to contribute to the worldwide effort towards advanced technologies and place Australia at the forefront of research in mobile and social networking.Read moreRead less
An integrative and distributed data management and workflow framework for e-research in biomedical imaging. This project will develop new tools for neuroimaging research: (i) efficient distributed infrastructure and workflow capabilities and (ii) semantic tools using existing ontological frameworks and specific neuroimaging ontologies.
These new capabilities will significantly enhance the productivity of neuroimaging research.
Data-driven Approach to Resilient Online Service Systems. This project aims to develop a data-driven approach to improving the resilience of online service systems. Many software systems are now provided as online services via the Internet on a 24/7 basis. Although a lot of effort has been devoted to service quality assurance, in reality, online service systems still encounter many incidents and fail to satisfy user requests. This project expects to develop innovative data-driven methods for eff ....Data-driven Approach to Resilient Online Service Systems. This project aims to develop a data-driven approach to improving the resilience of online service systems. Many software systems are now provided as online services via the Internet on a 24/7 basis. Although a lot of effort has been devoted to service quality assurance, in reality, online service systems still encounter many incidents and fail to satisfy user requests. This project expects to develop innovative data-driven methods for effective fault identification, fault localization, and failure prediction. Expected outcomes of this project include novel techniques and tools for maintaining online service systems. This project will provide significant benefits, such as improving the resilience and reliability of our cyber infrastructure.Read moreRead less
Wattzup - a context-aware residential demand-response system for smart energy management. This project falls within the National Research Priorities an environmentally sustainable australia and frontier technologies for building and transforming Australian industries. This project will develop an innovative context aware smart energy management system that will effectively reduce consumption and wastage in residential energy usage among individual homes. It will also be an important new technolo ....Wattzup - a context-aware residential demand-response system for smart energy management. This project falls within the National Research Priorities an environmentally sustainable australia and frontier technologies for building and transforming Australian industries. This project will develop an innovative context aware smart energy management system that will effectively reduce consumption and wastage in residential energy usage among individual homes. It will also be an important new technology that will be able to support the Australian utility industry in terms of incorporating context-sensitive demand-response strategies. The key innovation of the system will be to leverage a range of rich contextual information that is easily accessible and available for effective residential energy management.Read moreRead less