Time consistency, risk-mitigation and partially observable systems. This project aims to find optimal decision rules that mitigate risk in a time consistent manner for partially observable systems. Many problems in conservation management and engineering systems are dependent on random environments and entail risk of failure. The challenge of consistently minimising such a risk while achieving satisfactory and sustainable resource consumption is considerable. This project aims to develop analyti ....Time consistency, risk-mitigation and partially observable systems. This project aims to find optimal decision rules that mitigate risk in a time consistent manner for partially observable systems. Many problems in conservation management and engineering systems are dependent on random environments and entail risk of failure. The challenge of consistently minimising such a risk while achieving satisfactory and sustainable resource consumption is considerable. This project aims to develop analytical and numerical methods for optimal control in such scenarios. These methods will have application to fishery management, communication networks, power systems and social resource allocation scenarios.Read moreRead less
Can eco-evolutionary theories explain outcomes of microbiome coalescence . Environmental microbial communities are among the most abundant and diverse natural communities, responsible for many ecologically and economically important ecosystem functions, including primary productivity and climate regulation. This project aims to identify the biotic and abiotic factors that regulate community and functional outcomes of microbiome coalescence (the mixing of two different communities) caused by natu ....Can eco-evolutionary theories explain outcomes of microbiome coalescence . Environmental microbial communities are among the most abundant and diverse natural communities, responsible for many ecologically and economically important ecosystem functions, including primary productivity and climate regulation. This project aims to identify the biotic and abiotic factors that regulate community and functional outcomes of microbiome coalescence (the mixing of two different communities) caused by natural and anthropogenic activities. The outcomes will provide a unifying ecological framework to predict variation in microbiomes across different scales, ecosystem types and disturbances, and will generate critical knowledge for the development of effective microbiome products, a rapidly growing industryRead moreRead less
Multitrophic interactions drive diversity-ecosystem function relationships. Soil communities, among the most abundant and diverse in nature are responsible for many critical ecosystem functions, including nutrient cycling and climate regulation. This project will determine whether consideration and quantification of interactions between different biotic communities – specifically among plants, soil microbes and animals, within and across trophic levels - can address underlying shortcomings in pr ....Multitrophic interactions drive diversity-ecosystem function relationships. Soil communities, among the most abundant and diverse in nature are responsible for many critical ecosystem functions, including nutrient cycling and climate regulation. This project will determine whether consideration and quantification of interactions between different biotic communities – specifically among plants, soil microbes and animals, within and across trophic levels - can address underlying shortcomings in predictions from classical biodiversity-ecosystem function theory. By advancing understanding of biological complexity and its impacts on ecosystem functions, the project will provide a unifying framework for understanding variation in ecosystem functions across scales, ecosystem types and multiple environmental disturbances.Read moreRead less
A systemic environmental impact metric for companies and investors. Environmental-Social-Governance (ESG) metrics are marketed as measures of environmental performance, but they often track exposure to environmental risk rather than generation of environmental impacts. This project aims to develop and test a science-based, systemic environmental impact score for corporate activities. Expected outcomes include new knowledge of cross-scale interactions in the Earth system and tools to assess a bus ....A systemic environmental impact metric for companies and investors. Environmental-Social-Governance (ESG) metrics are marketed as measures of environmental performance, but they often track exposure to environmental risk rather than generation of environmental impacts. This project aims to develop and test a science-based, systemic environmental impact score for corporate activities. Expected outcomes include new knowledge of cross-scale interactions in the Earth system and tools to assess a business or investment’s systemic environmental impacts from activities including water extraction, deforestation and carbon emissions. These outcomes should provide benefits including improved business decision-making on impact mitigation, environmental quality, productivity and corporate environmental reputation.Read moreRead less
Tranquillising Work Stress: Corporate Climate and Antidepressant Use. This national project will investigate the plausible link between distress at work and Australia’s high levels of antidepressant use, through creative linkage of data from the Australian Workplace Barometer (10-year longitudinal study) to antidepressant medication data (via the national Pharmaceutical Benefits Scheme). The project advances theory by probing the role corporate climate plays in work design, distress, mental hea .... Tranquillising Work Stress: Corporate Climate and Antidepressant Use. This national project will investigate the plausible link between distress at work and Australia’s high levels of antidepressant use, through creative linkage of data from the Australian Workplace Barometer (10-year longitudinal study) to antidepressant medication data (via the national Pharmaceutical Benefits Scheme). The project advances theory by probing the role corporate climate plays in work design, distress, mental health problems and antidepressant use. It will determine if antidepressant use has led to an underestimation of work stress effects. It will estimate the $AUD cost of work related antidepressant use. The project will yield evidence to stimulate corporate climate change to protect worker psychological health and wellbeing.Read moreRead less
Assessing absolute sustainability of global cities. The project aims to create a quantitative modelling framework for assessing the absolute sustainability of cities by combining global multi-region input-output analysis with the 'safe and just space' concept for human development. The model will allow assessment of the full supply chain environmental and social impacts of urban economic activities against biophysical planetary limits as well as social foundation thresholds defined in the litera ....Assessing absolute sustainability of global cities. The project aims to create a quantitative modelling framework for assessing the absolute sustainability of cities by combining global multi-region input-output analysis with the 'safe and just space' concept for human development. The model will allow assessment of the full supply chain environmental and social impacts of urban economic activities against biophysical planetary limits as well as social foundation thresholds defined in the literature. The project will advance sustainability science methodology and will greatly benefit worldwide initiatives for urban sustainability. Case studies on Australian cities will assess where interventions can be most practically, realistically and effectively implemented.Read moreRead less
Partially Observable MDPs, Monte Carlo Methods, and Sustainable Fisheries. Partially Observable Markov Decision Processes (POMDPs) provide a general mathematical framework for sequential decision making under uncertainty. However, solving POMDPs effectively under realistic assumptions remains a challenging problem. This project aims to develop new efficient Monte Carlo algorithms to significantly advance the application of POMDPs to real-world decision problems involving complex action spaces an ....Partially Observable MDPs, Monte Carlo Methods, and Sustainable Fisheries. Partially Observable Markov Decision Processes (POMDPs) provide a general mathematical framework for sequential decision making under uncertainty. However, solving POMDPs effectively under realistic assumptions remains a challenging problem. This project aims to develop new efficient Monte Carlo algorithms to significantly advance the application of POMDPs to real-world decision problems involving complex action spaces and system dynamics. Both theoretical and algorithmic approaches will be applied to sustainable fishery management --- an important problem for Australia and an ideal context for POMDPs. The project will advance research in artificial intelligence, dynamical systems, and fishery operations, and benefit the national economy.Read moreRead less