Exploring Botanic Gardens Herbarium's value, via Environmental Aesthetics. . The project aims to aesthetically redefine engagement with the plant collection at Royal Botanic Gardens Herbarium (RBG) Sydney and to communicate its artistic, cultural and heritage value to the public through a Public Program of creative arts case studies. It's expected that new insights will arise from an environmental art methodology utilising the digitisation of the Herbarium specimens, so that audiences can intera ....Exploring Botanic Gardens Herbarium's value, via Environmental Aesthetics. . The project aims to aesthetically redefine engagement with the plant collection at Royal Botanic Gardens Herbarium (RBG) Sydney and to communicate its artistic, cultural and heritage value to the public through a Public Program of creative arts case studies. It's expected that new insights will arise from an environmental art methodology utilising the digitisation of the Herbarium specimens, so that audiences can interactively experience the plant archive through narratives that activate plants as underpinning ecosystems. Benefits to partners RBG, Bundanon Trust and Open Humanities Press will include the digital expansion of audience engagement with the Herbarium at RBG and Mt Annan and communication of collection’s significance.Read moreRead less
Surfacing urban wetlands in two urban renewal sites in Sydney. Urban wetlands in Australia provide benefits for climate change mitigation, pollution reduction, habitat provision and socioecological connection. However, in large cities like Sydney, urban wetlands are unseen because undergrounded, and, therefore not adequately understood. This illegibility, and loss of understanding by residents, planners and policy makers impedes wetlands' good management. This project surfaces wetlands through v ....Surfacing urban wetlands in two urban renewal sites in Sydney. Urban wetlands in Australia provide benefits for climate change mitigation, pollution reduction, habitat provision and socioecological connection. However, in large cities like Sydney, urban wetlands are unseen because undergrounded, and, therefore not adequately understood. This illegibility, and loss of understanding by residents, planners and policy makers impedes wetlands' good management. This project surfaces wetlands through visualisation in a multimodal knowledge platform focusing on two urban renewal sites, Green Square and Marrickville South. We leverage design ethnography to develop resources for strengthening multiple stakeholders’ socioecological engagement through methods empowering just, creative and open participation.Read moreRead less
Extinction Imaginaries: Mapping Affective Visual Cultures in Australasia. This project aims to provide NGOs with new strategies for raising awareness of environmental change by investigating what animal extinction means to Australians. Australasia has the highest global extinction rates, yet despite the wide circulation of visual images of extinction little is known about how they affect people. The project expects to address this critical gap by bringing innovative methodologies to the analysis ....Extinction Imaginaries: Mapping Affective Visual Cultures in Australasia. This project aims to provide NGOs with new strategies for raising awareness of environmental change by investigating what animal extinction means to Australians. Australasia has the highest global extinction rates, yet despite the wide circulation of visual images of extinction little is known about how they affect people. The project expects to address this critical gap by bringing innovative methodologies to the analysis of public responses to images of extinction and how they affect social imaginaries. Expected outcomes include research translations with environmental NGOs which should provide significant benefits by addressing public concern for the deteriorating ecosystems that future generations will inherit.
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Designing for sustainability using a transformative repair model. The project will generate new knowledge in design-based repair and reuse of consumer products to develop a new community of craft and design practitioners, audience and clientele, in collaboration with leading Australian design and craft organisations. It responds to the pressing cultural and environmental burden of product obsolescence and consumer waste through innovation in transformative repair – a designed reworking of broken ....Designing for sustainability using a transformative repair model. The project will generate new knowledge in design-based repair and reuse of consumer products to develop a new community of craft and design practitioners, audience and clientele, in collaboration with leading Australian design and craft organisations. It responds to the pressing cultural and environmental burden of product obsolescence and consumer waste through innovation in transformative repair – a designed reworking of broken or discarded consumer objects that transforms their aesthetic appeal and cultural value. It applies transition design theory to develop localised progressions of the transformative repair model to foster knowledge exchange between partner organisation while contributing to a sustainable design economy in AustraliaRead moreRead less
Discovery Early Career Researcher Award - Grant ID: DE220100188
Funder
Australian Research Council
Funding Amount
$438,582.00
Summary
Generating Plots with Dialogue Based Executable Semantic Parsing. This project aims to address the limited abilities of dialogue systems by developing new models and data collection techniques. The project expects to address a major gap in Natural Language Processing using a model that generates computer code and updates it in response to user requests. Expected outcomes of this project include a system that interacts with a user in plain English to analyse data, and efficient methods of trainin ....Generating Plots with Dialogue Based Executable Semantic Parsing. This project aims to address the limited abilities of dialogue systems by developing new models and data collection techniques. The project expects to address a major gap in Natural Language Processing using a model that generates computer code and updates it in response to user requests. Expected outcomes of this project include a system that interacts with a user in plain English to analyse data, and efficient methods of training the system with minimal expert input. This should provide significant benefits to research and business by broadening the accessibility and efficiency of data analysis, enabling faster and wiser decisions.Read moreRead less
Deep analytics of non-occurring but important behaviours. This project aims to build a systematic theory for the deep analytics of complex and important occurring and non-occurring behaviours. Behaviours that should occur but do not take place, called non-occurring behaviours (NOB), are widely evident but easily overlooked, such as missed important medical treatments. While often occurring behaviours are focused, such NOB may be associated with significant effects such as a threat to health. Thi ....Deep analytics of non-occurring but important behaviours. This project aims to build a systematic theory for the deep analytics of complex and important occurring and non-occurring behaviours. Behaviours that should occur but do not take place, called non-occurring behaviours (NOB), are widely evident but easily overlooked, such as missed important medical treatments. While often occurring behaviours are focused, such NOB may be associated with significant effects such as a threat to health. This project expects to fill the knowledge gaps in representing, analysing and evaluating NOB complexities and impact, with significant benefits for the evidence-based detection, prediction and risk management of covert NOB applications and their important effects.Read moreRead less
Deep Interaction Learning in Unlabelled Big Data and Complex Systems. This project aims to effectively model intricate interactions deeply embedded in unlabelled big data and complex systems, which are often hierarchical, heterogeneous, contextual, dynamic or even contrastive. Learning such interactions is the keystone of robust data science and for realizing the value of big data but it poses significant challenges and knowledge gaps to existing data analytics and learning systems. The expected ....Deep Interaction Learning in Unlabelled Big Data and Complex Systems. This project aims to effectively model intricate interactions deeply embedded in unlabelled big data and complex systems, which are often hierarchical, heterogeneous, contextual, dynamic or even contrastive. Learning such interactions is the keystone of robust data science and for realizing the value of big data but it poses significant challenges and knowledge gaps to existing data analytics and learning systems. The expected outcomes include new-generation theories and methods for the unsupervised learning of complex interactions in real-life big data, which are anticipated to enable the intrinsic processing of big data complexities and substantially enhance Australia’s leadership in frontier data science research and applications. Read moreRead less
Assistive micro-navigation for vision impaired people. This project aims to develop novel algorithms to transform a simple camera into a smart sensor, that can enable a vision-impaired person to navigate freely and without additional aids in a crowded area. Such a smart sensor will be endowed with the capability to detect and locate obstacles, identify the walking path, recognise objects and traffic signs and convey step-by-step instructions to the user. The project outcomes are expected to impr ....Assistive micro-navigation for vision impaired people. This project aims to develop novel algorithms to transform a simple camera into a smart sensor, that can enable a vision-impaired person to navigate freely and without additional aids in a crowded area. Such a smart sensor will be endowed with the capability to detect and locate obstacles, identify the walking path, recognise objects and traffic signs and convey step-by-step instructions to the user. The project outcomes are expected to improve the well-being and accessibility to public areas for vision-impaired people and reduce physical access disparities for this disadvantaged and vulnerable group. Furthermore, technologies developed in this project can potentially be adapted for use in related special navigation applications such as road safety, self-driving vehicles, and autonomous robots.Read moreRead less
Efficient multi-view video coding with cuboids and base anchored models. This project aims to address current deficiencies in multi-view video coding technology to achieve the ultra-compression efficiency demanded by increasing display resolutions and synchronised viewpoints. The project expects to generate new knowledge, by moving from the current pixel-centric approach to methods that concentrate information common to many view-frames. The project is expected to improve compression of audio-vi ....Efficient multi-view video coding with cuboids and base anchored models. This project aims to address current deficiencies in multi-view video coding technology to achieve the ultra-compression efficiency demanded by increasing display resolutions and synchronised viewpoints. The project expects to generate new knowledge, by moving from the current pixel-centric approach to methods that concentrate information common to many view-frames. The project is expected to improve compression of audio-visual services that are of great interest to international standards bodies and industry, while facilitating free interaction and augmented reality. This project will provide significant benefits to broadcast, entertainment, surveillance and health industries and position Australia as a world leader in this field.Read moreRead less
Making Meta-learning Generalised . This project aims to develop novel machine learning techniques, termed generalised meta-learning, to make machines better utilise past experience to solve new tasks with few data. It expects to reduce the undesirable dependence of current machine learning on labelled data and significantly expand its application scope. Expected outcomes of the project consist of new theoretical results on meta-learning and a set of innovative algorithms that can support the bui ....Making Meta-learning Generalised . This project aims to develop novel machine learning techniques, termed generalised meta-learning, to make machines better utilise past experience to solve new tasks with few data. It expects to reduce the undesirable dependence of current machine learning on labelled data and significantly expand its application scope. Expected outcomes of the project consist of new theoretical results on meta-learning and a set of innovative algorithms that can support the building of next generation of computer vision systems to work in open and dynamic environments. This should be able to produce solid benefits to the science, society, and economy of Australian via the application of these advanced intelligent systems.Read moreRead less