Goal pursuit decisions under environmental and social uncertainty. This project aims to develop an integrative computational model that explains how people prioritise the allocation of resources to different goals in the face of uncertainty. The project seeks to test a new theory through a series of experiments in which participants pursue goals by themselves in unpredictable environments, or in competition against an opponent. Expected outcomes include an integrated theory that accounts for the ....Goal pursuit decisions under environmental and social uncertainty. This project aims to develop an integrative computational model that explains how people prioritise the allocation of resources to different goals in the face of uncertainty. The project seeks to test a new theory through a series of experiments in which participants pursue goals by themselves in unpredictable environments, or in competition against an opponent. Expected outcomes include an integrated theory that accounts for the effects of both environmental and social uncertainty in the pursuit of multiple goals. Intended benefits include the development of computational models that can simulate human decision making in complex environments, analyse new concepts of operation, redesign work roles, and identify factors that reduce risk in decision-making.Read moreRead less
An explainability oriented approach to manage dependent supply chain risks. This project aims to help supply chain companies model the impact on their operations by capturing the uncertainties impacting their upstream suppliers. In the current uncertain business environment, the project's outcome will benefit service-based industries to have an enhanced understanding of their operating environment and take decisions accordingly to avoid failures. This will significantly increase the productivity ....An explainability oriented approach to manage dependent supply chain risks. This project aims to help supply chain companies model the impact on their operations by capturing the uncertainties impacting their upstream suppliers. In the current uncertain business environment, the project's outcome will benefit service-based industries to have an enhanced understanding of their operating environment and take decisions accordingly to avoid failures. This will significantly increase the productivity of Australian service-based industries across different domains. The expected outcome is that it generates new knowledge by which risk managers of a focal company can conjointly consider risk identification/assessment with risk management analysis to develop explainable strategies for managing uncertainties. Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE170100102
Funder
Australian Research Council
Funding Amount
$304,080.00
Summary
Managing land surface radiation management to reduce the intensity of heat waves. This project aims to use land surface radiation management to reduce the intensity of heat waves. Heat waves have high social, environmental, and economic effects, and their intensity will increase. Using climate models, this project will examine how altering current land management practices could change properties of soils and vegetation to reduce the intensity of heat waves. The expected outcomes of this project ....Managing land surface radiation management to reduce the intensity of heat waves. This project aims to use land surface radiation management to reduce the intensity of heat waves. Heat waves have high social, environmental, and economic effects, and their intensity will increase. Using climate models, this project will examine how altering current land management practices could change properties of soils and vegetation to reduce the intensity of heat waves. The expected outcomes of this project are information on adaptation to the increasing intensity of heat waves in Australia, which will be applicable globally.Read moreRead less
Towards an integrated model of reasoning and reasoning development. This project aims to identify the core cognitive processes that underlie different forms of reasoning and how they develop. The project intends to use a signal detection framework to derive detailed computational models of reasoning which can then be tested through Bayesian computational modelling as well as the first systematic investigation of developmental change in reasoning processes. Expected outcomes include a more princi ....Towards an integrated model of reasoning and reasoning development. This project aims to identify the core cognitive processes that underlie different forms of reasoning and how they develop. The project intends to use a signal detection framework to derive detailed computational models of reasoning which can then be tested through Bayesian computational modelling as well as the first systematic investigation of developmental change in reasoning processes. Expected outcomes include a more principled and comprehensive computational model of reasoning in both adults and children. The project should provide significant benefits by helping to resolve long-standing debates about how humans reason complex arguments relevant to everyday lives and guide development of more effective methods for teaching reasoning.Read moreRead less
Modelling How Humans Adapt to Task Demands in Safety-Critical Workplaces . This project aims to explain how human operators make decisions in complex work environments that require multiple tasks to be completed under time pressure. This project expects to achieve a significant theoretical and practical advance by developing and testing a computational model of the psychological processes that allow operators to adapt to the types of workplace task demands that can increase human error and the ....Modelling How Humans Adapt to Task Demands in Safety-Critical Workplaces . This project aims to explain how human operators make decisions in complex work environments that require multiple tasks to be completed under time pressure. This project expects to achieve a significant theoretical and practical advance by developing and testing a computational model of the psychological processes that allow operators to adapt to the types of workplace task demands that can increase human error and the risk of accidents. The expected outcome is a model that can explain operator decision-making and predict the conditions where operators are more likely to make delayed responses or errors. This should provide significant benefits by informing psychological theory and potentially reducing workplace incidents and accidents.Read moreRead less
The Misinformation Future—Confronting Emerging Threats. Misinformation presents challenges to public health and democracy. Though psychological research has explored processing mechanisms and countermeasures, new threats are arising that need to be confronted. This project aims to help meet these threats by (a) investigating misinformation impacts on future-oriented cognition and behaviours, with a focus on global long-term issues and (b) addressing the unique challenges posed by visual and synt ....The Misinformation Future—Confronting Emerging Threats. Misinformation presents challenges to public health and democracy. Though psychological research has explored processing mechanisms and countermeasures, new threats are arising that need to be confronted. This project aims to help meet these threats by (a) investigating misinformation impacts on future-oriented cognition and behaviours, with a focus on global long-term issues and (b) addressing the unique challenges posed by visual and synthetic (AI-generated) misinformation. The expected outcome is new knowledge on the processing and impacts of emerging types of misinformation and translation into practical interventions. These promise to benefit consumers, educators and policymakers, contributing to a healthier information environment.Read moreRead less
Monitoring Desalination Membrane Fouling using Sodium Magnetic Resonance. Seawater desalination using membrane modules is critical technology for potable water access, however it faces significant challenges due to fouling. Sodium magnetic resonance techniques will be developed to non-invasively detect and image salt accumulation in these opaque membrane modules due to fouling. These data will first be used to improve our understanding of the unexplored interplay between fouling and detrimental ....Monitoring Desalination Membrane Fouling using Sodium Magnetic Resonance. Seawater desalination using membrane modules is critical technology for potable water access, however it faces significant challenges due to fouling. Sodium magnetic resonance techniques will be developed to non-invasively detect and image salt accumulation in these opaque membrane modules due to fouling. These data will first be used to improve our understanding of the unexplored interplay between fouling and detrimental salt accumulation in the modules (known as cake-enhanced concentration polarisation) and thus validate 3D simulations of this phenomenon. The ability to unambiguously detect salt accumulation in membrane modules will then be extrapolated to a non-invasive monitoring tool for membrane fouling in desalination facilities.Read moreRead less
Economically efficient green logistics through cyber physical systems. Economically efficient green logistics through cyber physical systems. This project aims to realize green logistics by researching how to run diesel-powered heavy-duty milk trucks economically and efficiently on liquefied natural gas (LNG) and demonstrating to logistics companies that LNG conversion will reduce operating costs and emissions. Transportation systems account for 18% of Australia's carbon emissions, and diesel-po ....Economically efficient green logistics through cyber physical systems. Economically efficient green logistics through cyber physical systems. This project aims to realize green logistics by researching how to run diesel-powered heavy-duty milk trucks economically and efficiently on liquefied natural gas (LNG) and demonstrating to logistics companies that LNG conversion will reduce operating costs and emissions. Transportation systems account for 18% of Australia's carbon emissions, and diesel-powered logistics vehicles are a major contributor. However, converting these trucks to LNG requires strong evidence to convince logistics companies of the benefits of shifting to green logistics. An increase in logistics productivity is expected to increase Australia’s gross domestic product by $2 billion, while this research should also provide vital data on sustainability issues and LNG conversions.Read moreRead less
Combating Misinformation – Designing a Toolkit to Address a Global Problem. Misinformation impairs people’s cognition – their memory, reasoning and judgements – even if credible corrections are issued; it therefore poses a significant threat to evidence-based practice and policy. This project aims to develop novel psychological interventions to reduce the impact of misinformation, based on an experimental research program designed to systematically assess the effects of various types of misinfor ....Combating Misinformation – Designing a Toolkit to Address a Global Problem. Misinformation impairs people’s cognition – their memory, reasoning and judgements – even if credible corrections are issued; it therefore poses a significant threat to evidence-based practice and policy. This project aims to develop novel psychological interventions to reduce the impact of misinformation, based on an experimental research program designed to systematically assess the effects of various types of misinformation on cognition and behaviour. The expected outcome is the development of new knowledge regarding misinformation processing and communication and its translation into a toolkit for practical application. This promises to improve individual and public decision making and foster a culture of accurate information exchange.Read moreRead less
A predictive framework for the flow control of environmental roughness. This project aims to develop a new framework to accurately predict how macro-roughness controls flow, turbulence and transport in environmental systems. Exemplar systems range from flows over seagrass meadows, coral reefs and permeable beds in aquatic environments to flows over urban roughness in atmospheric environments. The overall health and function of these systems is intimately linked to how they modify the incoming fl ....A predictive framework for the flow control of environmental roughness. This project aims to develop a new framework to accurately predict how macro-roughness controls flow, turbulence and transport in environmental systems. Exemplar systems range from flows over seagrass meadows, coral reefs and permeable beds in aquatic environments to flows over urban roughness in atmospheric environments. The overall health and function of these systems is intimately linked to how they modify the incoming flow and the transport of nutrients, contaminants, heat and biota. Expected outcomes include novel theory and new predictive models to quantify the flow and transport 'climate' in these complex roughness systems. This will transform best practice in our understanding, management and protection of these critical ecosystems.Read moreRead less