The meaning of home for children following parental separation. This project aims to identify the meaning of home for children in separated families by interviewing children and parents about children’s experiences of home and homemaking. Since most children now traverse two households, there needs to be an increasing emphasis in policy, law and professional practice on listening to children regarding their post-separation living arrangements. By describing and analysing home for children, the p ....The meaning of home for children following parental separation. This project aims to identify the meaning of home for children in separated families by interviewing children and parents about children’s experiences of home and homemaking. Since most children now traverse two households, there needs to be an increasing emphasis in policy, law and professional practice on listening to children regarding their post-separation living arrangements. By describing and analysing home for children, the project will provide a solid basis for shifting the prevailing focus on parents’ needs in application of the law toward more child-responsive parenting arrangements. This new knowledge will support parents and professionals to achieve child-responsive approaches to post-separation parenting arrangements, reducing potentially adverse impacts of parental separation on children, and benefitting children, families and the community.Read moreRead less
A multi-agent system for stakeholder management in off-site construction. This project aims to investigate a socio-technology model for stakeholders and informatics to improve off-site construction (OSC) productivity in infrastructure construction. A multi-agent system for OSC could drive down cost, but requires highly integrated collaboration among stakeholders. The project’s quantitative approaches include large-scale social network analysis, multi-agent consensus modelling and an optimisation ....A multi-agent system for stakeholder management in off-site construction. This project aims to investigate a socio-technology model for stakeholders and informatics to improve off-site construction (OSC) productivity in infrastructure construction. A multi-agent system for OSC could drive down cost, but requires highly integrated collaboration among stakeholders. The project’s quantitative approaches include large-scale social network analysis, multi-agent consensus modelling and an optimisation algorithm for collaborative planning. The project outcomes are expected to secure long-term economic benefits by enhancing performance in complex projects.Read moreRead less
Judges' work, place and psychological health - a national view. This project aims to address the human, juridical and financial costs of judicial officers’ work-related psychological harm. This harm is implicated in early retirement, sick leave and suicide. It threatens appropriate courtroom conduct, procedural fairness and impartial adjudication. The project seeks to generate new knowledge of the stress judicial officers experience and the individual and institutional mechanisms for managing st ....Judges' work, place and psychological health - a national view. This project aims to address the human, juridical and financial costs of judicial officers’ work-related psychological harm. This harm is implicated in early retirement, sick leave and suicide. It threatens appropriate courtroom conduct, procedural fairness and impartial adjudication. The project seeks to generate new knowledge of the stress judicial officers experience and the individual and institutional mechanisms for managing stressors, combining socio-legal and psychological approaches. Expected outcomes include evidence-based understandings to inform recruitment and retention strategies specific to this highly specialized workforce. This should provide significant benefits for judges’ work capacities and courts' delivery of justice.Read moreRead less
Rethinking housing: network analysis for digital collaboration. This project aims to understand persistent housing sector supply problems through analysis of digital collaborative practices. This project expects to generate new knowledge for an emerging housing digital economy using interdisciplinary network theory and data visualisation techniques. The housing sector has long been criticised for shortcomings in affordability, efficiency, quality, social and environmental responsiveness and appr ....Rethinking housing: network analysis for digital collaboration. This project aims to understand persistent housing sector supply problems through analysis of digital collaborative practices. This project expects to generate new knowledge for an emerging housing digital economy using interdisciplinary network theory and data visualisation techniques. The housing sector has long been criticised for shortcomings in affordability, efficiency, quality, social and environmental responsiveness and appropriateness of offerings. Expected outcomes include enhanced housing supply professionals' capability, improved knowledge among public/private sector decision makers responsible for housing supply and development of new digital collaborative behavioural theoretical and practical frameworks for the sector.Read moreRead less
Changing Judicial Performance: Emotion and Legitimacy. This project examines emotion and emotional expression in judicial performance. Although judging is understood as unemotional, changing norms demand judicial emotional awareness and impose greater scrutiny of in-court judicial behaviour, creating practical tension for the judiciary and conceptual tension in understanding judging. Using surveys, interviews and observations of the Australian judiciary, and judicial performance evaluation data ....Changing Judicial Performance: Emotion and Legitimacy. This project examines emotion and emotional expression in judicial performance. Although judging is understood as unemotional, changing norms demand judicial emotional awareness and impose greater scrutiny of in-court judicial behaviour, creating practical tension for the judiciary and conceptual tension in understanding judging. Using surveys, interviews and observations of the Australian judiciary, and judicial performance evaluation data from the United States of America, this research examines whether judicial emotion and emotional display enhance or detract from judicial performance, considering impartiality and legitimacy of judicial authority. It aims to generate substantial new knowledge about judicial decision making and judicial behaviour.Read moreRead less
Learning how people read: Models, brains, big data and maths. Aims: This project aims to understand how people read. We will use novel mathematical methods, experimentation, brain imaging and computational modelling to adjudicate between model predictions.
Significance: This project expects to develop methods to understand and test important aspects of reading.
Expected outcomes: Expected outcomes are the development of novel methods for understanding complex models and the collection of data t ....Learning how people read: Models, brains, big data and maths. Aims: This project aims to understand how people read. We will use novel mathematical methods, experimentation, brain imaging and computational modelling to adjudicate between model predictions.
Significance: This project expects to develop methods to understand and test important aspects of reading.
Expected outcomes: Expected outcomes are the development of novel methods for understanding complex models and the collection of data that can extend and falsify current models of reading.
Benefits: These developments will significantly increase our understanding of how people read and what causes dyslexia. This work will also provide new ways to evaluate complex computational psychological models.Read moreRead less
Analysing interactions within the criminal deportation system. This project aims to investigate the convergence of migration control and criminal justice by analysing pathways to criminal deportation. The project expects to generate new criminological understandings of deportation as a means of promoting community safety using interdisciplinary approaches that capture regional and metropolitan practice. Expected outcomes include knowledge of how information flows between migration control and cr ....Analysing interactions within the criminal deportation system. This project aims to investigate the convergence of migration control and criminal justice by analysing pathways to criminal deportation. The project expects to generate new criminological understandings of deportation as a means of promoting community safety using interdisciplinary approaches that capture regional and metropolitan practice. Expected outcomes include knowledge of how information flows between migration control and criminal justice agencies, and the implications for policing, courts, and prison administration. This should provide significant benefits for policy-makers and practitioners, by articulating emerging and unexplored practices that have major consequences for community safety, social cohesion and the rule-of-law.Read moreRead less
Things don’t always go better with Coke. This project aims to test whether soft drink use is governed partly by automatic processes (cognitive biases) that operate largely outside of conscious control. In so doing, the project expects to generate a new conceptual understanding of the mechanisms that drive the overconsumption of soft drinks. Expected outcomes include theoretical innovation, new research methodologies, and accessible cost-effective technologies for reducing excessive sugar intake ....Things don’t always go better with Coke. This project aims to test whether soft drink use is governed partly by automatic processes (cognitive biases) that operate largely outside of conscious control. In so doing, the project expects to generate a new conceptual understanding of the mechanisms that drive the overconsumption of soft drinks. Expected outcomes include theoretical innovation, new research methodologies, and accessible cost-effective technologies for reducing excessive sugar intake from soft drinks, in line with recent World Health Organization guidelines. These outcomes will contribute to combatting obesity and tooth decay.Read moreRead less
Data analytics-based tools and methods to enhance self-regulated learning. This project aims to develop student self-regulated learning skills by harnessing the potential of Big Data analytics. The project expects to generate new knowledge at the intersection of learning analytics, educational technology, learning sciences and teaching practice resulting from novel data collection and analysis tools and methods. The outputs are expected to include insights into metacognitive, motivational, and t ....Data analytics-based tools and methods to enhance self-regulated learning. This project aims to develop student self-regulated learning skills by harnessing the potential of Big Data analytics. The project expects to generate new knowledge at the intersection of learning analytics, educational technology, learning sciences and teaching practice resulting from novel data collection and analysis tools and methods. The outputs are expected to include insights into metacognitive, motivational, and technical issues facing analytics-based personalised feedback. The outcomes are intended to offer benefits for developing pedagogical and the design of educational technology. The outcomes can result in improved student learning outcomes in higher education to ensure graduates are prepared for the digital economy.Read moreRead less
Predicting concentration-gradient-driven liquid transport in 2D membranes. This project aims to achieve a predictive understanding of liquid transport through two-dimensional (2D) membranes driven by concentration gradients by using a combination of novel theory and computation. Membranes made from 2D nanomaterials hold great promise for many applications from desalination to power generation to chemical sensing, but the concentration-gradient-driven transport processes that underlie these appli ....Predicting concentration-gradient-driven liquid transport in 2D membranes. This project aims to achieve a predictive understanding of liquid transport through two-dimensional (2D) membranes driven by concentration gradients by using a combination of novel theory and computation. Membranes made from 2D nanomaterials hold great promise for many applications from desalination to power generation to chemical sensing, but the concentration-gradient-driven transport processes that underlie these applications are not well understood. The expected outcome of this project is an unprecedented quantitative understanding of the parameters that control these transport processes. This will enable predictive optimisation of 2D membranes, which will reduce the time and cost of membrane development for diverse applications.
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