Obstacles to Contract Enforcement in Indonesia. The Australia-Indonesia Comprehensive Economic Partnership (IA-CEPA) came into force in 2020 but foreign investment in Indonesia has consistently failed to meet targets, largely due to concerns about the lack of reliable and just judicial contract enforcement. This project aims to investigate why predictable and fair contract enforcement in Indonesia is so inaccessible, particularly for foreign investors, and, through doctrinal and empirical resear ....Obstacles to Contract Enforcement in Indonesia. The Australia-Indonesia Comprehensive Economic Partnership (IA-CEPA) came into force in 2020 but foreign investment in Indonesia has consistently failed to meet targets, largely due to concerns about the lack of reliable and just judicial contract enforcement. This project aims to investigate why predictable and fair contract enforcement in Indonesia is so inaccessible, particularly for foreign investors, and, through doctrinal and empirical research, explain the causes of this situation. In partnership with Indonesian courts and lawyers, it also aims to support the development of legal and policy reform proposals that can help resolve Indonesia’s commercial contract enforcement problems and encourage Australian investment there.Read moreRead less
Harnessing Business Insights from Unstructured Customer Data. Resulting from customers’ widespread uptake of online channels to buy and communicate has been a surge in online reviews and social media posts. This textual information offers a viable alternative to surveys that Australian businesses currently conduct to obtain customer insights. However, these reviews are unstructured and require substantial pre-processing to extract underlying customer perceptions. Therefore, this project aims to ....Harnessing Business Insights from Unstructured Customer Data. Resulting from customers’ widespread uptake of online channels to buy and communicate has been a surge in online reviews and social media posts. This textual information offers a viable alternative to surveys that Australian businesses currently conduct to obtain customer insights. However, these reviews are unstructured and require substantial pre-processing to extract underlying customer perceptions. Therefore, this project aims to develop a novel machine learning approach to quantify the business-relevant information contained in textual information shared by customers online. This alternative approach will provide significant cost-saving benefits for a range of Australian companies, such as retailers, hotels, airlines and restaurants.Read moreRead less
Bias and allostery at the calcium sensing receptor. This project aims to provide a mechanistic and dynamic picture of the structure, function and physiology of the human calcium sensing receptor (CaSR), which is critical for vertebrate life. By responding to chemicals in the body, it acts as a universal nutrient sensor to maintain extracellular calcium homeostasis and mediate biological functions, including neurotransmission, inflammation, digestion, blood pressure and development. However, it i ....Bias and allostery at the calcium sensing receptor. This project aims to provide a mechanistic and dynamic picture of the structure, function and physiology of the human calcium sensing receptor (CaSR), which is critical for vertebrate life. By responding to chemicals in the body, it acts as a universal nutrient sensor to maintain extracellular calcium homeostasis and mediate biological functions, including neurotransmission, inflammation, digestion, blood pressure and development. However, it is not known how this single receptor controls the actions of multiple ligands to mediate numerous functions. By elucidating the roles of the CaSR and its ligands, this project aims to better understand fundamental physiological processes.Read moreRead less
Data-driven monitoring of raceway dynamics in ironmaking blast furnaces. Raceway dynamics in ironmaking blast furnaces affect operational stability and cost considerably, yet their dynamic behaviour has not been well monitored online. The project aims to develop a data-driven model for monitoring the internal state of gas-solid-powder reacting flow in the raceway and predicting raceway anomalies online. It will be achieved by combining particle-fluid numerical simulations with data processing an ....Data-driven monitoring of raceway dynamics in ironmaking blast furnaces. Raceway dynamics in ironmaking blast furnaces affect operational stability and cost considerably, yet their dynamic behaviour has not been well monitored online. The project aims to develop a data-driven model for monitoring the internal state of gas-solid-powder reacting flow in the raceway and predicting raceway anomalies online. It will be achieved by combining particle-fluid numerical simulations with data processing and reduced-order state observer, supported by lab/plant experiments, and collaborating with two industry partners from coal and steel industries. The project outcomes including codes, models and raceway control strategies can help promote Australian metallurgical coal's global markets and ultimately the Australian economy.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC200100009
Funder
Australian Research Council
Funding Amount
$4,861,236.00
Summary
ARC Training Centre in Optimisation Technologies, Integrated Methodologies, and Applications (OPTIMA). OPTIMA addresses industry’s urgent need for decision-making tools for global competitiveness: reducing lead times, and financial and environmental costs, while improving efficiency, quality, and agility. Despite strong expertise in academia, industry is yet to fully benefit from optimisation technology due to its high barrier to entry. Connecting industry partners with world-leading interdiscip ....ARC Training Centre in Optimisation Technologies, Integrated Methodologies, and Applications (OPTIMA). OPTIMA addresses industry’s urgent need for decision-making tools for global competitiveness: reducing lead times, and financial and environmental costs, while improving efficiency, quality, and agility. Despite strong expertise in academia, industry is yet to fully benefit from optimisation technology due to its high barrier to entry. Connecting industry partners with world-leading interdisciplinary researchers and talented students, OPTIMA will advance an industry-ready optimisation toolkit, while training a new generation of industry practitioners and over 120 young researchers, vanguarding a highly skilled workforce of change agents for transformation of the advanced manufacturing, energy resources, and critical infrastructure sectors.Read moreRead less
New Lead-Free Brass Solutions for Drinking Water Applications. The aim of this Linkage Project is to provide viable material solutions to address the health problem of Lead-contamination in drinking water arising from Leaded-brass plumbing products and the impact Lead-removal from brass will have on the brass industry. In order to achieve this, this project engages leading multidisciplinary researchers along with Australian and international industry partners from across the brass industry suppl ....New Lead-Free Brass Solutions for Drinking Water Applications. The aim of this Linkage Project is to provide viable material solutions to address the health problem of Lead-contamination in drinking water arising from Leaded-brass plumbing products and the impact Lead-removal from brass will have on the brass industry. In order to achieve this, this project engages leading multidisciplinary researchers along with Australian and international industry partners from across the brass industry supply and sales network. This project seeks to identify and harness the key material-product attributes required to develop and implement new, lead-free alloy alternatives that meet health-compliance, production and commercial viability, that offer benefits across the industry network and health benefits to society.Read moreRead less
Borderline Personality as Social Phenomena. Mental disorders attract social stigma and those diagnosed are widely misunderstood. This project aims to collect and analyse accounts of people living with Borderline Personality Disorder (BPD) - mainly women - and perspectives of social support practitioners. The intended outcome is to provide a sophisticated understanding of BPD as a social phenomenon, develop sociological evidence based on lived experiences and generate Australian digital resources ....Borderline Personality as Social Phenomena. Mental disorders attract social stigma and those diagnosed are widely misunderstood. This project aims to collect and analyse accounts of people living with Borderline Personality Disorder (BPD) - mainly women - and perspectives of social support practitioners. The intended outcome is to provide a sophisticated understanding of BPD as a social phenomenon, develop sociological evidence based on lived experiences and generate Australian digital resources including narratives of BPD, creative outputs and practitioner perspectives. The anticipated goal of this project is to inform policy and community responses addressing stigma and marginalisation, and the improvement of social support for those affected by BPD.Read moreRead less
Switching Dynamics Approach for Distributed Global Optimisation . This project aims to create a breakthrough switching dynamics approach and new technology to speed up finding optimal solutions. It will develop a distributed switching dynamics based optimisation scheme for global optimisation problems in industrial big-data environments where timely decision making is required. It will result in a practical technology for industry optimisation problems such as economic energy dispatch in smart g ....Switching Dynamics Approach for Distributed Global Optimisation . This project aims to create a breakthrough switching dynamics approach and new technology to speed up finding optimal solutions. It will develop a distributed switching dynamics based optimisation scheme for global optimisation problems in industrial big-data environments where timely decision making is required. It will result in a practical technology for industry optimisation problems such as economic energy dispatch in smart grids and optimal charging and discharging tasks in a large network of electric vehicles, helping Australian power industry improve efficiency and security, as well as training the next generation scientists and engineers for Australia in this emerging field.Read moreRead less
Social practices of oral health in Australian preschool children. The aim of the study is to explore "social practices" of oral health in Australian (Aboriginal and non-Aboriginal) preschool children. We use this emerging theory to move away from focusing on individuals and individual behaviour (and blame) to identify and map social practices: actions, materials and meanings families attribute to
child’s oral health. Expected project outcomes include identifying practices promoting or underminin ....Social practices of oral health in Australian preschool children. The aim of the study is to explore "social practices" of oral health in Australian (Aboriginal and non-Aboriginal) preschool children. We use this emerging theory to move away from focusing on individuals and individual behaviour (and blame) to identify and map social practices: actions, materials and meanings families attribute to
child’s oral health. Expected project outcomes include identifying practices promoting or undermining children’s oral health that can inform upstream and downstream policy directions and practices to improve health outcomes. This offers a new approach to "wicked" problems such as oral health where extensive
effort has not reduced morbidity and cost despite rhetoric that oral health is preventable.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