Fake News and Post-Truth Impacts: Responses to Conflictive Uncertainty. Attributions of fake news and post-truth are symptoms of uncertainty arising from conflicting information. Little is known about human responses to conflictive uncertainty other than that people find it aversive. This project aims to identify the determinants of human attitudes towards conflictive uncertainty. The aims will be achieved via the development of measures of attitudes toward conflictive uncertainty, and studies i ....Fake News and Post-Truth Impacts: Responses to Conflictive Uncertainty. Attributions of fake news and post-truth are symptoms of uncertainty arising from conflicting information. Little is known about human responses to conflictive uncertainty other than that people find it aversive. This project aims to identify the determinants of human attitudes towards conflictive uncertainty. The aims will be achieved via the development of measures of attitudes toward conflictive uncertainty, and studies identifying the major influences thereof. Expected outcomes include advances in knowledge of how conflictive uncertainty attitudes relate to risk orientations, personality, and situational factors. Anticipated benefits include improved strategies for decision makers and communicators faced with conflictive uncertainty.Read moreRead less
Reading facial expressions from real and virtual humans. This project aims to advance understanding of human emotional communication and improve human rapport with the virtual humans and avatars that are rapidly infiltrating our social world. Using two unique stimulus sets - naturalistic human expressions and highly realistic virtual faces - together with powerful genetic, experimental, and individual differences designs, the project expects to answer previously intractable questions in emotion ....Reading facial expressions from real and virtual humans. This project aims to advance understanding of human emotional communication and improve human rapport with the virtual humans and avatars that are rapidly infiltrating our social world. Using two unique stimulus sets - naturalistic human expressions and highly realistic virtual faces - together with powerful genetic, experimental, and individual differences designs, the project expects to answer previously intractable questions in emotion science, as well as deliver tangible outcomes, such as new psychological tests to better understand human social connection. This should provide significant benefits, by improving emotion communication and offering a new perspective on how artificial intelligence can best serve human social needs.
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Resolving the role of dryland flooding in the global carbon cycle. Aquatic sources of carbon dioxide and methane are globally significant, but unknown for flooded drylands. The aim of this project is to use an innovative combination of well-integrated methodologies to determine if flooded drylands release large amounts of carbon dioxide and methane. This project is significant because this release of carbon dioxide and methane has not previously been accounted for and may change the magnitude of ....Resolving the role of dryland flooding in the global carbon cycle. Aquatic sources of carbon dioxide and methane are globally significant, but unknown for flooded drylands. The aim of this project is to use an innovative combination of well-integrated methodologies to determine if flooded drylands release large amounts of carbon dioxide and methane. This project is significant because this release of carbon dioxide and methane has not previously been accounted for and may change the magnitude of the global terrestrial carbon dioxide sink and account of some of the planet’s missing sources of methane. The outcomes of this project will make a significant contribution to our understanding of the global carbon cycle and earth climate system, and inform future management of these systems.
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Discovery Early Career Researcher Award - Grant ID: DE210100032
Funder
Australian Research Council
Funding Amount
$456,645.00
Summary
Unravelling how ecosystems function through time and space. This project aims to build a whole-of-ecosystem model to trace the biological capture of energy and cycling of matter as it moves through entire river catchments. It is expected to generate new knowledge about ecological responses to environmental streamflow through the novel integration of all major food-web compartments – from dissolved molecules to predatory fish – in a single framework. The expected outcome of this project is an enh ....Unravelling how ecosystems function through time and space. This project aims to build a whole-of-ecosystem model to trace the biological capture of energy and cycling of matter as it moves through entire river catchments. It is expected to generate new knowledge about ecological responses to environmental streamflow through the novel integration of all major food-web compartments – from dissolved molecules to predatory fish – in a single framework. The expected outcome of this project is an enhanced capacity to predict the ecological consequences of future water management scenarios, facilitating more precise management of river systems. This should provide considerable benefits to the health of Australia’s rivers and the contributions these ecosystems make to society, environment, and agriculture.Read moreRead less
Linking terrestrial–aquatic fluxes to rectify the Australian carbon balance. This project aims to rectify the Australian carbon balance by determining the amount of terrestrial carbon that is lost to streams and rivers across the country. Through a novel integration of high-resolution hydrochemical and gas measurements, remote sensing and machine learning algorithms, the project intends to generate new knowledge about the links between terrestrial carbon sequestration and aquatic carbon export. ....Linking terrestrial–aquatic fluxes to rectify the Australian carbon balance. This project aims to rectify the Australian carbon balance by determining the amount of terrestrial carbon that is lost to streams and rivers across the country. Through a novel integration of high-resolution hydrochemical and gas measurements, remote sensing and machine learning algorithms, the project intends to generate new knowledge about the links between terrestrial carbon sequestration and aquatic carbon export. Expected outcomes include a refined estimate of the net carbon sequestration potential across Australian biomes and seasons. This should provide significant benefits such as avoiding misalignment of greenhouse gas abatement policies and advancing carbon cycling models and predictions.Read moreRead less
Forecasting live fuel moisture content, the on/off switch for forest fire. Dry forest fuels are a precursor of large bushfires. This research aims to develop, for the first time, a model to reliably forecast the moisture content of live fuels (e.g. the foliage and fine branches of shrubs and trees). This will be achieved by combining (i) satellite-derived estimates of live fuel moisture content, (ii) forecasts of soil moisture, and (iii) plant physiological responses to soil dryness. Forecasts o ....Forecasting live fuel moisture content, the on/off switch for forest fire. Dry forest fuels are a precursor of large bushfires. This research aims to develop, for the first time, a model to reliably forecast the moisture content of live fuels (e.g. the foliage and fine branches of shrubs and trees). This will be achieved by combining (i) satellite-derived estimates of live fuel moisture content, (ii) forecasts of soil moisture, and (iii) plant physiological responses to soil dryness. Forecasts of live fuel moisture content will deliver an early warning system of the risk of bushfires. These forecasts will also facilitate improved planning of prescribed burns: if fuels are too dry there is a risk of burns escaping, conversely, if fuels are too wet there is a risk that burns will fail to meet objectives.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE230100132
Funder
Australian Research Council
Funding Amount
$438,909.00
Summary
Population genetics from environmental DNA to revolutionise conservation. This project aims to revolutionise conservation monitoring by developing environmental DNA tools to rapidly and efficiently extract detailed genetic data on entire populations from a simple environmental sample. This project expects to significantly enhance conservation management by providing critical information on genetic diversity and population health. Expected outcomes include new techniques to collect population gen ....Population genetics from environmental DNA to revolutionise conservation. This project aims to revolutionise conservation monitoring by developing environmental DNA tools to rapidly and efficiently extract detailed genetic data on entire populations from a simple environmental sample. This project expects to significantly enhance conservation management by providing critical information on genetic diversity and population health. Expected outcomes include new techniques to collect population genetic information with increased speed and affordability, enhancing the capacity for both industry and government to address conservation questions. This project is likely to provide significant benefits for aquatic conservation, where traditional monitoring proves problematic for many cryptic, elusive or rare species.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
Discovery Early Career Researcher Award - Grant ID: DE230101567
Funder
Australian Research Council
Funding Amount
$453,054.00
Summary
Listening to Nature: Transforming Bioacoustics through Spatial Audio. This project aims to research new 3D spatial audio processing techniques to analyse natural sounds for environmental conservation, while meeting the tasks, demands and data characteristics inherent to bioacoustics. Expected outcomes include new, accurate and efficient bioacoustics computation technologies, generalisable across different terrestrial regions, species types and environment changes. These could dramatically enhanc ....Listening to Nature: Transforming Bioacoustics through Spatial Audio. This project aims to research new 3D spatial audio processing techniques to analyse natural sounds for environmental conservation, while meeting the tasks, demands and data characteristics inherent to bioacoustics. Expected outcomes include new, accurate and efficient bioacoustics computation technologies, generalisable across different terrestrial regions, species types and environment changes. These could dramatically enhance the efficacy of current bioacoustic monitoring systems while opening up new research directions. Resulting technology could be adopted for immediate tasks like the monitoring of bushfire recovery efforts, and more generally, for the management and conservation of Australian natural resources.Read moreRead less
Modern statistical methods for clustering community ecology data. This project will develop statistical methods and software for clustering community ecology data, and use them to analyse systematic survey and citizen science program data collected along the Great Barrier Reef. By doing so, the project will address the dearth of statistical classification techniques for high-dimensional, multi-response data with complex relationships. When the resultant clustering methods are used to construct b ....Modern statistical methods for clustering community ecology data. This project will develop statistical methods and software for clustering community ecology data, and use them to analyse systematic survey and citizen science program data collected along the Great Barrier Reef. By doing so, the project will address the dearth of statistical classification techniques for high-dimensional, multi-response data with complex relationships. When the resultant clustering methods are used to construct bioregions and characterise species’ environmental responses, they should significantly enhance evaluations of the impact of human activity and environmental change on coral diversity. Ultimately, these evaluations can underpin future decisions in the conservation and management of the Great Barrier Reef.Read moreRead less