Linkage Infrastructure, Equipment And Facilities - Grant ID: LE150100030
Funder
Australian Research Council
Funding Amount
$270,000.00
Summary
Test-bed for Wide-Area Software Defined Networking Research. Test bed for wide-area software defined networking research: This project aims to develop a wide-area test bed, spanning ten organisations, for conducting research and experimentation in the emerging disruptive technology of Software Defined Networking (SDN). SDN is likely to bring long-term transformation to the networking industry, much like cloud computing did, by enabling dynamic virtualised elastic network services under software ....Test-bed for Wide-Area Software Defined Networking Research. Test bed for wide-area software defined networking research: This project aims to develop a wide-area test bed, spanning ten organisations, for conducting research and experimentation in the emerging disruptive technology of Software Defined Networking (SDN). SDN is likely to bring long-term transformation to the networking industry, much like cloud computing did, by enabling dynamic virtualised elastic network services under software control. The test bed will empower Australian researchers in network technologies and dependent applications (for example, multimedia and security) to collaboratively develop and demonstrate novel ideas at scale. This is expected to benefit Australia by giving our researchers international recognition in this nascent area, and developing a national talent pool for local industry.Read moreRead less
Immersive analytics: interactive data analysis using surfaces and spaces. This project aims to explore the potential for new immersive display and interaction technologies to greatly enhance the field of visual data analytics. Humans struggle to understand the masses of complex data they now accumulate. Visual data analytics offers a solution. The project expects to provide practical and theoretical frameworks for immersive data analysis and valuable intellectual property on the first practical ....Immersive analytics: interactive data analysis using surfaces and spaces. This project aims to explore the potential for new immersive display and interaction technologies to greatly enhance the field of visual data analytics. Humans struggle to understand the masses of complex data they now accumulate. Visual data analytics offers a solution. The project expects to provide practical and theoretical frameworks for immersive data analysis and valuable intellectual property on the first practical tools for immersive data analytics. This will provide significant benefits, such as allowing those across government and industry to make more informed decisions from data.Read moreRead less
Research Utilisation in Child Protection Policy: Understanding and Conceptualising the Role of Research in Social Policy Development. The findings of this project will have significant benefits for vulnerable children and families by enhancing the capacity for research-informed policy in child protection. In this way, the project will also have significant flow-on economic benefits for Local, State and Federal Governments by decreasing the social and economic costs associated with child abuse an ....Research Utilisation in Child Protection Policy: Understanding and Conceptualising the Role of Research in Social Policy Development. The findings of this project will have significant benefits for vulnerable children and families by enhancing the capacity for research-informed policy in child protection. In this way, the project will also have significant flow-on economic benefits for Local, State and Federal Governments by decreasing the social and economic costs associated with child abuse and neglect. Research funding will have a greater impact by the increased understanding this study will provide about how research can be more effectively used in policy.Read moreRead less
Strengthening Relationships for Young People in Residential Care. Young people in residential care face major challenges in forming positive relationships, many having experienced adults as a source of threat rather than safety. This project aims to investigate practices within therapeutic residential care that enable or limit young people’s identity formation, positive social connections, safety and wellbeing. This research will generate nuanced knowledge informing interpersonal and institution ....Strengthening Relationships for Young People in Residential Care. Young people in residential care face major challenges in forming positive relationships, many having experienced adults as a source of threat rather than safety. This project aims to investigate practices within therapeutic residential care that enable or limit young people’s identity formation, positive social connections, safety and wellbeing. This research will generate nuanced knowledge informing interpersonal and institutional change. Expected outcomes include improved approaches to therapeutic care and to methods for enabling the participation of young people in care in matters that may change their life trajectory on exiting care. Expected benefits include more responsive policies and frameworks for practice.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE180100153
Funder
Australian Research Council
Funding Amount
$361,446.00
Summary
Automatically summarising and measuring software development activity. This project aims to create technologies for automatically repackaging, interpreting, and aggregating software development activity. The project will devise new natural-language summarisation approaches and productivity metrics that use all data available in a software repository. This is likely to lead to knowledge and tools that allow organisations to quickly integrate new developers into existing software projects, to impr ....Automatically summarising and measuring software development activity. This project aims to create technologies for automatically repackaging, interpreting, and aggregating software development activity. The project will devise new natural-language summarisation approaches and productivity metrics that use all data available in a software repository. This is likely to lead to knowledge and tools that allow organisations to quickly integrate new developers into existing software projects, to improve project awareness, and to increase productivity goals. The outcomes would include a comprehensive decision and awareness support system for software projects, based on automating the creation and continual updating of developer activity summaries and measures.Read moreRead less
Transitioning from out-of-home care: a longitudinal population-based study. This project aims to use a population-based method to examine the pathways of young people in, and transitioning from, out-of-home care in Western Australia. Young people in, and transitioning out of, out-of-home care experience many challenges. Care leavers, including a disproportionate number of Aboriginal young people, experience adverse outcomes across a range of domains leading to high social and economic costs for ....Transitioning from out-of-home care: a longitudinal population-based study. This project aims to use a population-based method to examine the pathways of young people in, and transitioning from, out-of-home care in Western Australia. Young people in, and transitioning out of, out-of-home care experience many challenges. Care leavers, including a disproportionate number of Aboriginal young people, experience adverse outcomes across a range of domains leading to high social and economic costs for the Australian community. The findings from the population-based data, together with an in-depth understanding of their lived experiences will identify a best practice model for improving their transition from care experiences to facilitate improved outcomes.Read moreRead less
Egalitarian Responses to Climate Change. The project will offer significant insights into the effects of climate change and adaptation policy on the disadvantaged at a time when there is significant policy change in this area. The project will develop a philosophical framework for assessing whether current and proposed carbon trading schemes are just. In addition, the project will also consider the important political issue of whether democratic participation in the formation of climate policy i ....Egalitarian Responses to Climate Change. The project will offer significant insights into the effects of climate change and adaptation policy on the disadvantaged at a time when there is significant policy change in this area. The project will develop a philosophical framework for assessing whether current and proposed carbon trading schemes are just. In addition, the project will also consider the important political issue of whether democratic participation in the formation of climate policy is required and in what ways. 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.
Active Visual Navigation in an Unexplored Environment. This project will develop a new method for robotic navigation in which goals can be specified at a much higher level of abstraction than has previously been possible. This will be achieved using deep learning to make informed predictions about a scene layout, and navigating as an active observer in which the predictions informs actions. The outcome will be robotic agents capable of effective and efficient navigation and operation in previous ....Active Visual Navigation in an Unexplored Environment. This project will develop a new method for robotic navigation in which goals can be specified at a much higher level of abstraction than has previously been possible. This will be achieved using deep learning to make informed predictions about a scene layout, and navigating as an active observer in which the predictions informs actions. The outcome will be robotic agents capable of effective and efficient navigation and operation in previously unseen environments, and the ability to control such agents with more human-like instructions. Such capabilities are desirable, and in some cases essential, for autonomous robots in a variety of important application areas including automated warehousing and high-level control of autonomous vehicles. Read moreRead less