Using 3D printing to improve access to graphics by vision-impaired people. This project aims to investigate the possible benefits of 3D printing for production of accessible materials for vision-impaired people. Currently tactile graphics are used to provide severely vision-impaired adults and children with access to graphical content used in education and in orientation and mobility training. This project is expected to clarify the kinds of graphics for which 3D prints are better suited than ta ....Using 3D printing to improve access to graphics by vision-impaired people. This project aims to investigate the possible benefits of 3D printing for production of accessible materials for vision-impaired people. Currently tactile graphics are used to provide severely vision-impaired adults and children with access to graphical content used in education and in orientation and mobility training. This project is expected to clarify the kinds of graphics for which 3D prints are better suited than tactile graphics, and to build capacity within the national accessible format provision sector for the production and use of 3D prints. Benefits will include increased educational opportunities and quality of life for Australians with severe vision impairment, through improved access to graphic materials used in education and orientation and mobility training.
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Discovery Early Career Researcher Award - Grant ID: DE220100265
Funder
Australian Research Council
Funding Amount
$417,000.00
Summary
A closed-loop human–agent learning framework to enhance decision making. This project aims to design a foundational human–agent learning framework to augment the decision making process, using reinforcement and closed-loop mechanisms to enable symbiosis between a human and an artificial-intelligence agent. It envisages significant new technologies to promote controllability and efficient and safe exploration of an environment for decision actions – drastically boosting learning effectiveness and ....A closed-loop human–agent learning framework to enhance decision making. This project aims to design a foundational human–agent learning framework to augment the decision making process, using reinforcement and closed-loop mechanisms to enable symbiosis between a human and an artificial-intelligence agent. It envisages significant new technologies to promote controllability and efficient and safe exploration of an environment for decision actions – drastically boosting learning effectiveness and interpretability in decision making. Expected outcomes will benefit national cybersecurity by improving our understanding of vulnerabilities and threats involving decision actions, and by ensuring that human feedback and evaluations can help prevent catastrophic events in explorations of dynamic and complex environments.Read moreRead less
Deformable Surfaces Supporting 3D Tactile Human Computer Interactions. This project will support Research Priority 3: Frontier Technologies for Building and Transforming Australian Industries. The results will provide information that will further build our understanding of human computer interactions. Digital Foam supports Smart Information Use by providing a new interaction paradigm for existing and new creative applications for digital technologies. The new form of interaction provides a new ....Deformable Surfaces Supporting 3D Tactile Human Computer Interactions. This project will support Research Priority 3: Frontier Technologies for Building and Transforming Australian Industries. The results will provide information that will further build our understanding of human computer interactions. Digital Foam supports Smart Information Use by providing a new interaction paradigm for existing and new creative applications for digital technologies. The new form of interaction provides a new computer interaction product in itself and the ability to make a more efficient creative environment for designers of 3D content, multi-media and manufacturing design. This technology supports the ability of organisations to operate virtually and collaborate across large distances in Australia and internationally.Read moreRead less
Ecology, morphology and the diversification of Australian lizards. This project aims to determine the factors driving the spectacular radiation of lizards in Australia. To date, most investigations of lizard anatomy have focused exclusively on external characteristics. This project will examine the underlying internal anatomy to investigate whether morphological innovation is associated with enhanced rates of ecological, life-history and species diversification. The project expects to shed light ....Ecology, morphology and the diversification of Australian lizards. This project aims to determine the factors driving the spectacular radiation of lizards in Australia. To date, most investigations of lizard anatomy have focused exclusively on external characteristics. This project will examine the underlying internal anatomy to investigate whether morphological innovation is associated with enhanced rates of ecological, life-history and species diversification. The project expects to shed light on the evolution of Australia’s most diverse vertebrate lineage, and provide comparative data with which to interpret the lizard fossil record in Australia, and the range declines and relative extinction risks of native lizard species.Read moreRead less
Imaging The Hepatitis C Virus Life Cycle In Real-time
Funder
National Health and Medical Research Council
Funding Amount
$477,504.00
Summary
Hepatitis C virus (HCV) is a serious viral pathogen that causes significant liver disease. This proposal plans to examine how two proteins from the HCV, core and NS5A, interact with host proteins and pathways to facilitate viral replication and release of HCV; two processes that are poorly understood. Specifically we will tag viral proteins to allow us to investigate the HCV life cycle in living cells and determine the role of core and NS5A in facilitating HCV replication. This proposal may unco ....Hepatitis C virus (HCV) is a serious viral pathogen that causes significant liver disease. This proposal plans to examine how two proteins from the HCV, core and NS5A, interact with host proteins and pathways to facilitate viral replication and release of HCV; two processes that are poorly understood. Specifically we will tag viral proteins to allow us to investigate the HCV life cycle in living cells and determine the role of core and NS5A in facilitating HCV replication. This proposal may uncover novel therapeutic strategies to combat HCV.Read moreRead less
Learning to Reason in Reinforcement Learning. Deep Reinforcement Learning (RL) uses deep neural networks to represent and learn optimal decision-making policies for intelligent agents in complex environments. However, most RL approaches require millions of episodes to converge to good policies, making it difficult for RL to be applied in real-world scenarios taking significant resources. This project aims to equip RL with capabilities such as counterfactual reasoning and outcome anticipation to ....Learning to Reason in Reinforcement Learning. Deep Reinforcement Learning (RL) uses deep neural networks to represent and learn optimal decision-making policies for intelligent agents in complex environments. However, most RL approaches require millions of episodes to converge to good policies, making it difficult for RL to be applied in real-world scenarios taking significant resources. This project aims to equip RL with capabilities such as counterfactual reasoning and outcome anticipation to significantly reduce the number of interactions required, improve generalisation, and provide the agent with the capability to consider the cause-effects. These improvements would narrow the gap between AI and human capabilities and broaden the adoption of RL in real-world applications.Read moreRead less
About one in eight known genetic disorders involve DNA alteration that activates a cellular quality control mechanism that disables the affected gene. This mechanism is more efficient in some individuals than others. It can influence disease outcomes and severity. We will engineer and apply tools and models to measure and manipulate this crucial cellular mechanism. This will allow us to predict disease severity as well as to intervene where a manipulation of this mechanism will be beneficial.
Overcoming Resistance to the Introduction of a Health Informatics System in General Practice Medicine. This project takes as its starting point the investigation of why medical practitioners in a rural community have been resistant to adopt a community based health information system designed to routinely collect, analyse and disseminate information regarding patient treatment. The project seeks to identify the deeper reasons for the resistance through analysis of the broader context of informat ....Overcoming Resistance to the Introduction of a Health Informatics System in General Practice Medicine. This project takes as its starting point the investigation of why medical practitioners in a rural community have been resistant to adopt a community based health information system designed to routinely collect, analyse and disseminate information regarding patient treatment. The project seeks to identify the deeper reasons for the resistance through analysis of the broader context of information systems in General Practice Medicine, with particular attention to the way Government health informatics initiatives fit with professional and practical priorities. The project will develop guidelines for acceptability of systems in this context and contribute to the broader knowledge management literature.Read moreRead less
Fish-Bird: Autonomous Interactions in a Contemporary Arts Setting. This research aims to investigate and expand the dialogical possibilities that exist between multiple autokinetic objects within a new media arts environment. Communication between the objects, and with their audience, will be explored through the modalities of gesture, motion and written text. A new aesthetic framework for interactive artwork will be created through research into autokinesis and the behavioural patterns that evo ....Fish-Bird: Autonomous Interactions in a Contemporary Arts Setting. This research aims to investigate and expand the dialogical possibilities that exist between multiple autokinetic objects within a new media arts environment. Communication between the objects, and with their audience, will be explored through the modalities of gesture, motion and written text. A new aesthetic framework for interactive artwork will be created through research into autokinesis and the behavioural patterns that evolve between people and autokinetic machines. Outcomes will include a major artwork in three stages, underpinned by a robotics software tool set that facilitates composition and experimentation with autokinetic artwork.Read moreRead less
Tree-mediated methane fluxes: A new frontier in the global carbon cycle. Methane is an extremely potent greenhouse gas. Recent evidence suggests that tree-mediated fluxes may be a significant, but overlooked source of methane to the atmosphere. This project aims to quantify the magnitude and drivers of tree-mediated methane fluxes from Australia’s dominant forest types. Innovatively, we will be using a novel combination of empirical field based measurements, gas tracer experiments, microbial ana ....Tree-mediated methane fluxes: A new frontier in the global carbon cycle. Methane is an extremely potent greenhouse gas. Recent evidence suggests that tree-mediated fluxes may be a significant, but overlooked source of methane to the atmosphere. This project aims to quantify the magnitude and drivers of tree-mediated methane fluxes from Australia’s dominant forest types. Innovatively, we will be using a novel combination of empirical field based measurements, gas tracer experiments, microbial analysis and modelling methods. Expected outcomes are a mechanistic understanding of tree-mediated methane fluxes, helping to constrain regional, national and global methane budgets. The results of this study will help inform publicly funded greenhouse gas abatement strategies, ensuring a maximal return on investment.Read moreRead less