Data-driven Traffic Analytics for Incident Analysis and Management. Traffic incidents are among the primary concerns of all transport authorities around the world due to their significant impact in terms of traffic congestion and delay, air and noise pollution, and management cost. This project aims to address incident analysis and management in complex and multi-modal traffic networks by combining multidisciplinary research efforts from transportation engineering and data science. The intended ....Data-driven Traffic Analytics for Incident Analysis and Management. Traffic incidents are among the primary concerns of all transport authorities around the world due to their significant impact in terms of traffic congestion and delay, air and noise pollution, and management cost. This project aims to address incident analysis and management in complex and multi-modal traffic networks by combining multidisciplinary research efforts from transportation engineering and data science. The intended outcomes will be an innovative incident analysis and management framework synergising traffic data analytics and traffic simulation modelling as well as its key enabling techniques and prototype systems. This will significantly help mitigate incident impacts on daily commuters.Read moreRead less
A national framework for managing malignant plastics in museum collections. A national framework for managing malignant plastics in museum collections. This collaborative project between three universities, four museums and an art gallery aims to discover how to predict and increase the lifespan of malignant plastics or polymers by studying their identification, deterioration and conservation. 5 to 80% of museum collections, composed of growing numbers of plastic or polymer-based materials, need ....A national framework for managing malignant plastics in museum collections. A national framework for managing malignant plastics in museum collections. This collaborative project between three universities, four museums and an art gallery aims to discover how to predict and increase the lifespan of malignant plastics or polymers by studying their identification, deterioration and conservation. 5 to 80% of museum collections, composed of growing numbers of plastic or polymer-based materials, need better preservation. Conservators do not have much expertise in preserving plastics, which are contemporary and have a relatively short life expectancy. This project intends to provide museums with a model for prioritising and effectively allocating resources to preserve a vulnerable group of collections for future generations.Read moreRead less
Self-organised communication as a foundation of large, complex societies. This Project aims to investigate how evolution has shaped the self-organisation of robust communication networks that emerge in large animal collectives from the actions of individuals following only simple, local rules. It expects to generate new knowledge into the fundamental principles guiding the self-organisation of networks that can sustain a complex society. Empirical work with ant colonies will inform the construct ....Self-organised communication as a foundation of large, complex societies. This Project aims to investigate how evolution has shaped the self-organisation of robust communication networks that emerge in large animal collectives from the actions of individuals following only simple, local rules. It expects to generate new knowledge into the fundamental principles guiding the self-organisation of networks that can sustain a complex society. Empirical work with ant colonies will inform the construction of simulation models to push the investigation beyond experimental limits. The Project should significantly advance our understanding of how communication networks enable the development of large societies, and thus of how to better manage autonomous man-made networks, most importantly the Internet-of-Things.Read moreRead less
Industrial Transformation Research Hubs - Grant ID: IH210100051
Funder
Australian Research Council
Funding Amount
$5,000,000.00
Summary
The ARC Research Hub for Digital Bioprocess Development. The ARC Hub for Digital Bioprocess Development aims to assist the Biopharma industry by increasing digital innovation, productivity and competitiveness. An interdisciplinary team of engineers, scientists and computing specialists will develop digitally integrated advanced manufacturing processes and a platform for industry adoption. The program will address key bioprocessing research challenges and develop new process and digital models th ....The ARC Research Hub for Digital Bioprocess Development. The ARC Hub for Digital Bioprocess Development aims to assist the Biopharma industry by increasing digital innovation, productivity and competitiveness. An interdisciplinary team of engineers, scientists and computing specialists will develop digitally integrated advanced manufacturing processes and a platform for industry adoption. The program will address key bioprocessing research challenges and develop new process and digital models that can predict and optimise manufacturing processes, resulting in greater yields, faster and more flexible processes and enhanced product stability. The Hub will transform biopharmaceutical manufacturing and unlock growth opportunities to forge an internationally competitive Australian Biopharma sector.Read moreRead less
An intelligent machine modelling assistant for combinatorial optimisation. This project aims to discover key fundamental technologies for automating assistance to non-expert users in the formulation of mathematical models. Through automating the modelling of combinatorial optimization problems, this research will generate new knowledge to address the fundamental challenges of automatic mathematical modelling. This intelligent assistant will enable synthesis of new mathematical models through th ....An intelligent machine modelling assistant for combinatorial optimisation. This project aims to discover key fundamental technologies for automating assistance to non-expert users in the formulation of mathematical models. Through automating the modelling of combinatorial optimization problems, this research will generate new knowledge to address the fundamental challenges of automatic mathematical modelling. This intelligent assistant will enable synthesis of new mathematical models through the utilisation of pioneering natural language processing components and novel custom-made machine-readable knowledge bases. The outcome of this research will broaden access to high-quality models by non-expert workforce and alleviate the shortage of expert mathematicians, bringing significant social and economic benefits.Read moreRead less
Reducing direct greenhouse gas emissions from urban wastewater systems. This project aims to develop a systematic framework for water utilities to monitor and reduce direct greenhouse gas (GHG) emissions from wastewater systems. A standardised monitoring protocol will be developed to conduct an unprecedented nationwide sampling campaign. The obtained data, with microbial characterisation and mechanism analysis, will be used to develop novel models for accurate prediction of GHG emissions. Expect ....Reducing direct greenhouse gas emissions from urban wastewater systems. This project aims to develop a systematic framework for water utilities to monitor and reduce direct greenhouse gas (GHG) emissions from wastewater systems. A standardised monitoring protocol will be developed to conduct an unprecedented nationwide sampling campaign. The obtained data, with microbial characterisation and mechanism analysis, will be used to develop novel models for accurate prediction of GHG emissions. Expected outcomes include protocol to accurately monitor emissions, models to predict emission under various conditions, and mitigation guideline for typical plant configurations. The anticipated benefit is a significant reduction in GHG emissions from urban water industry and support it to meet net-zero-emission goal by 2050.Read moreRead less
Congestion control in complex networks with higher-order interactions. Traffic congestion significantly costs the Australian economy and environment. This project aims to develop ground-breaking network models of urban traffic systems to build a new congestion control framework. The purpose of network modelling is to capture the interdependence between different parts of traffic systems, which facilitates studying congestion cascade within the network. The project expects to generate next genera ....Congestion control in complex networks with higher-order interactions. Traffic congestion significantly costs the Australian economy and environment. This project aims to develop ground-breaking network models of urban traffic systems to build a new congestion control framework. The purpose of network modelling is to capture the interdependence between different parts of traffic systems, which facilitates studying congestion cascade within the network. The project expects to generate next generation of network models for more effective congestion control. Expected outcomes include novel congestion control technologies that adjust traffic signals in real-time to optimally utilise the available road space. This should provide significant economic and environmental benefits to Australians by easing traffic jams.Read moreRead less
Curating Museum Collections for Climate Change Mitigation. The Project aims to investigate how museum collections, many of which have histories entangled in Australia’s high emission sectors that supported the nation’s economic growth, can be curated to support climate change mitigation. Drawing together the disciplines of biogeochemistry, museology, environmental humanities, Indigenous knowledge and education, the Project anticipates enhancing the Museum of Applied Arts and Sciences' capacity f ....Curating Museum Collections for Climate Change Mitigation. The Project aims to investigate how museum collections, many of which have histories entangled in Australia’s high emission sectors that supported the nation’s economic growth, can be curated to support climate change mitigation. Drawing together the disciplines of biogeochemistry, museology, environmental humanities, Indigenous knowledge and education, the Project anticipates enhancing the Museum of Applied Arts and Sciences' capacity for climate action through innovative programs. Its benefits include developing new collections-based climate research which incorporate the perspectives of multi-stakeholders, including Indigenous Australians, and builds museums' capacity to grow public climate literacy.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE170100017
Funder
Australian Research Council
Funding Amount
$1,231,000.00
Summary
Networked knowledge for repatriation communities. This project aims to build a digital facility that supports the repatriation of Indigenous human remains. Repatriation contributes to reconciliation and Indigenous healing and wellbeing, and has been the most important agent of change in the relationship between Indigenous peoples, museums and the academy over the past 40 years. Successful repatriation requires and produces research materials diverse in type, geography and accessibility. Within a ....Networked knowledge for repatriation communities. This project aims to build a digital facility that supports the repatriation of Indigenous human remains. Repatriation contributes to reconciliation and Indigenous healing and wellbeing, and has been the most important agent of change in the relationship between Indigenous peoples, museums and the academy over the past 40 years. Successful repatriation requires and produces research materials diverse in type, geography and accessibility. Within an Indigenous data-governance framework, this project will gather, preserve and make accessible a critical and extensive record of repatriation information worldwide. The project is expected to support repatriation practice and scholarship and improve the opportunities of repatriation for social good.Read moreRead less
Building insights of our largest terrestrial carbon sink: rangelands soils. Rangelands soils represent Australia’s largest carbon sink. Yet, little is known about their potential for carbon sequestration or their vulnerability to climate and environmental change. This project leverages investments in national terrestrial observation platforms and integrates previous research outputs to develop new methods to measure and build understanding of soil carbon composition and dynamics in rangeland eco ....Building insights of our largest terrestrial carbon sink: rangelands soils. Rangelands soils represent Australia’s largest carbon sink. Yet, little is known about their potential for carbon sequestration or their vulnerability to climate and environmental change. This project leverages investments in national terrestrial observation platforms and integrates previous research outputs to develop new methods to measure and build understanding of soil carbon composition and dynamics in rangeland ecosystems. Under a framework that connects detailed measurements and small-scale processes, with machine-learning, data-model assimilation and large-scale next-generation biogeochemical modelling, it’ll allow more accurate predictions of soil carbon change and better decision-making to guide sustainable rangelands management.Read moreRead less