Design practice research: uncovering the role of spatial intelligence in designing and in reviewing design of the built environment. This project will result in the identification and methodical analysis of spatial intelligence as deployed by Architects, Landscape Architects and Urban Designer practitioners. It will also explore improvements and invention of new design policies and design procurement procedures which are informed by deeper understandings of Spatial Intelligence.
Industrial Transformation Training Centres - Grant ID: IC210100056
Funder
Australian Research Council
Funding Amount
$3,975,864.00
Summary
ARC Training Centre for Next-Gen Technologies in Biomedical Analysis . The Centre for Next-Gen Technologies in Biomedical Analysis will deliver workforce trained in the development of transformative technologies that will rapidly expand the Australian pharmaceutical, diagnostic and defence sector. The university-industry partnership will increase Australia’s manufacturing capability by fast tracking screening, by integrating 3D printing, advanced sensing, big data analytics, machine learning an ....ARC Training Centre for Next-Gen Technologies in Biomedical Analysis . The Centre for Next-Gen Technologies in Biomedical Analysis will deliver workforce trained in the development of transformative technologies that will rapidly expand the Australian pharmaceutical, diagnostic and defence sector. The university-industry partnership will increase Australia’s manufacturing capability by fast tracking screening, by integrating 3D printing, advanced sensing, big data analytics, machine learning and artificial intelligence for the delivery of optimal solutions in diagnosis, treatment and wellbeing. The centre will deliver training in Industry 4.0 skills which will boost early-stage scale-up and accelerate the sector’s supply chain, which is pivotal for the Australian industries to maintain a competitive edge. Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE190100019
Funder
Australian Research Council
Funding Amount
$420,000.00
Summary
Time-layered cultural map of Australia. The Time-layered cultural map (TLCMap) of Australia is an online research platform that will deliver researcher driven national-scale infrastructure for the humanities, focused on mapping, time series, and data integration. The TLCMap will expand the use of Australian cultural and historical data for research through sharply defined and powerful discovery mechanisms, enabling researchers to visualise hidden geographic and historical patterns and trends, an ....Time-layered cultural map of Australia. The Time-layered cultural map (TLCMap) of Australia is an online research platform that will deliver researcher driven national-scale infrastructure for the humanities, focused on mapping, time series, and data integration. The TLCMap will expand the use of Australian cultural and historical data for research through sharply defined and powerful discovery mechanisms, enabling researchers to visualise hidden geographic and historical patterns and trends, and to build online resources which present to a wider public the rich layers of cultural data in Australian locations. TLCMap is not a singular project or software application with a defined research outcome, but infrastructure linking geo-spatial maps of Australian cultural and historical information, adapted to time series and will be a significant contribution to humanities research in Australia. For researchers, it will transform access to data and to visualisation tools and open new perspectives on Australian culture and history. For the public, it will enable increased accessibility to historical and cultural data through visualisations made available online and in print.Read moreRead less
Australia’s new cities: past, present and future. This project aims to investigate the conceptualisation, creation and promotion of new cities in Australia since the mid-20th century. The project expects to generate new knowledge in the area of urban planning and architectural history, leading to new understandings of community engagement with planning and architecture and dialogue on decentralisation, housing affordability and metropolitan primacy. Expected outcomes of this project include cont ....Australia’s new cities: past, present and future. This project aims to investigate the conceptualisation, creation and promotion of new cities in Australia since the mid-20th century. The project expects to generate new knowledge in the area of urban planning and architectural history, leading to new understandings of community engagement with planning and architecture and dialogue on decentralisation, housing affordability and metropolitan primacy. Expected outcomes of this project include contribution to the national conversation regarding political vision for large-scale infrastructure through a book, short film and media engagement on the topic. This project should provide significant benefits to community dialogue on issues of heritage, housing and environment.Read moreRead less
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
INTEGRATED PASSIVE AND ACTIVE CONTROL OF HUMMING NOISE FROM KCGM’S HAUL TRUCKS. This project aims to resolve an environmental noise issue caused by the humming noise of Kalgoorlie Consolidated Gold Mines haul trucks in the areas of Kalgoorlie, Boulder, and Williamstown. This solution utilises integrated passive and active control systems to attenuate the frequency components of humming noise from a truck’s exhaust and engine. A novel aspect of this technique is the use of passive micro-perforate ....INTEGRATED PASSIVE AND ACTIVE CONTROL OF HUMMING NOISE FROM KCGM’S HAUL TRUCKS. This project aims to resolve an environmental noise issue caused by the humming noise of Kalgoorlie Consolidated Gold Mines haul trucks in the areas of Kalgoorlie, Boulder, and Williamstown. This solution utilises integrated passive and active control systems to attenuate the frequency components of humming noise from a truck’s exhaust and engine. A novel aspect of this technique is the use of passive micro-perforated structures to provide the necessary sound absorption capability and to alter the sound propagation and radiation properties of the truck exhaust and engine, and increase the effectiveness of active control.Read moreRead less
Modelling health: Reporting behaviour and misclassification using survey data. Empirical models based on large scale survey data sets are used by health economists to inform policymakers. However, in the case of sensitive topics, a potential for survey misreporting may lead to inaccurate estimates of aberrant behaviours. To date, little work has been done analysing the extent and consequences of inaccurate reporting, especially within health economics. By addressing areas where potential for mis ....Modelling health: Reporting behaviour and misclassification using survey data. Empirical models based on large scale survey data sets are used by health economists to inform policymakers. However, in the case of sensitive topics, a potential for survey misreporting may lead to inaccurate estimates of aberrant behaviours. To date, little work has been done analysing the extent and consequences of inaccurate reporting, especially within health economics. By addressing areas where potential for misinformation is high, the overall quality of results will be enhanced. This research will be submitted to highly ranked health economics and econometrics journals to be made available to relevant policymakers intent on ensuring a healthy society.Read moreRead less
#thismymob: Digital land rights and reconnecting Indigenous communities. This project aims to investigate how social technology can connect Indigenous communities and enhance wellbeing; design culturally appropriate and sensitive technologies that afford a safe refuge for Indigenous peoples and their communities. This project will design and evaluate a mobile app to implement a national-scale, Indigenous-led technology development project and develop a national technology research and developmen ....#thismymob: Digital land rights and reconnecting Indigenous communities. This project aims to investigate how social technology can connect Indigenous communities and enhance wellbeing; design culturally appropriate and sensitive technologies that afford a safe refuge for Indigenous peoples and their communities. This project will design and evaluate a mobile app to implement a national-scale, Indigenous-led technology development project and develop a national technology research and development framework and post-secondary Indigenous software engineering curricula. The project expects to benefit Indigenous developers, entrepreneurs and start-ups to develop, operate and own technology.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.