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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
Interactions of Human and Machine Intelligence in Modern Economic Systems. Much of modern economic systems are driven by machine-machine and machine-human interactions that happens rapidly at large scale. But such interactions are often opaque and can have negative or catastrophic consequences, such as market plunges with no apparent economic reasons in financial trading, content recommendations that promote extremism, algorithms in gig economy leading to worker exploitation and wasted resources ....Interactions of Human and Machine Intelligence in Modern Economic Systems. Much of modern economic systems are driven by machine-machine and machine-human interactions that happens rapidly at large scale. But such interactions are often opaque and can have negative or catastrophic consequences, such as market plunges with no apparent economic reasons in financial trading, content recommendations that promote extremism, algorithms in gig economy leading to worker exploitation and wasted resources. This project aims for new theoretical results and algorithms at the intersection computational economics, game theory, and dynamical systems, that establish conditions under which the economic systems are stable, propose mechanisms that make the interactions more fair, transparent and aligned with human values.Read moreRead less
Computational Mechanisms of Online Attention Markets. The internet has operated as an major exchange of information and attention for the past few decades, yet surprisingly little is known about how individual choices and collective attention interact, let alone about how different parties can influence or control it. This project aims to uncover the mathematical underpinnings between individual actions and collective trends in online attention market, design computational methods for estimating ....Computational Mechanisms of Online Attention Markets. The internet has operated as an major exchange of information and attention for the past few decades, yet surprisingly little is known about how individual choices and collective attention interact, let alone about how different parties can influence or control it. This project aims to uncover the mathematical underpinnings between individual actions and collective trends in online attention market, design computational methods for estimating and influencing attention allocation, and enable applications where content consumers, producers, hosting platforms and regulatory bodies are each empowered with their share of influence in the attention market.Read moreRead less
Genetic rescue of Australian wildlife. Genetic rescue of Australian wildlife. This project aims to test genetic rescue as an efficient recovery technique for threatened plants and animals. Genetic rescue is under-utilised, even though it is overwhelmingly beneficial. This project will convert management actions on five Endangered/Critically Endangered species into rigorous experiments that measure the fitness benefits of genetic rescue, and demonstrate genome-wide consequences. Anticipated outco ....Genetic rescue of Australian wildlife. Genetic rescue of Australian wildlife. This project aims to test genetic rescue as an efficient recovery technique for threatened plants and animals. Genetic rescue is under-utilised, even though it is overwhelmingly beneficial. This project will convert management actions on five Endangered/Critically Endangered species into rigorous experiments that measure the fitness benefits of genetic rescue, and demonstrate genome-wide consequences. Anticipated outcomes include innovative genetic rescue protocols, a framework for genetic rescue, and leading-edge conservation training. Expected benefits are increased persistence of species that are otherwise unresponsive to management, and a new path to saving endangered species.Read moreRead less
Equity and spatial reasoning in students’ mathematics development. The project aims to understand the influence of Spatial-Reasoning on school mathematics. Spatial-Reasoning skills are a significant predictor of achievement in mathematics, and will become increasingly necessary in digital and dynamic environments. Opportunities for disadvantaged students to develop such reasoning skills are limited; they are typically not taught in schools. The project investigates the role and nature of Spatial ....Equity and spatial reasoning in students’ mathematics development. The project aims to understand the influence of Spatial-Reasoning on school mathematics. Spatial-Reasoning skills are a significant predictor of achievement in mathematics, and will become increasingly necessary in digital and dynamic environments. Opportunities for disadvantaged students to develop such reasoning skills are limited; they are typically not taught in schools. The project investigates the role and nature of Spatial-Reasoning in students’ mathematics development; and substantiates the long-term effect of a spatial learning programme on educationally disadvantaged students’ mathematics performance and reasoning. This project is expected to improve disadvantaged students’ spatial reasoning and mathematics skills and their life opportunities.Read moreRead less
Linking for Life: Enhancing pathways to well-being for all Australians. The Linking for Life Project will identify pathways to wellbeing and better social outcomes across the life-course for high-risk/vulnerable individuals and their families to streamline service provision, improve outcomes and identify cost-efficiencies across government agencies. The work will expand cross-sectoral data linkage capability, enhancing research capacity to generate evidence-based policy to improve integrated ser ....Linking for Life: Enhancing pathways to well-being for all Australians. The Linking for Life Project will identify pathways to wellbeing and better social outcomes across the life-course for high-risk/vulnerable individuals and their families to streamline service provision, improve outcomes and identify cost-efficiencies across government agencies. The work will expand cross-sectoral data linkage capability, enhancing research capacity to generate evidence-based policy to improve integrated service delivery across government. The project will also trial innovative data linkage models including the creation of data repositories to improve efficiency for data provision and access, which will have application nationally and enable more timely access to whole-population linked cross-sector data.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240101245
Funder
Australian Research Council
Funding Amount
$445,047.00
Summary
Automated Modelling Assistance for the Creation of Complex Planning Models. Artificial Intelligence (AI) planning technology is used to control systems like automated factories, robots, or to solve complex optimisation problems. Creating these models is however rather complex and error-prone and requires experts to create them in the first place. This project aims at developing techniques and tools for automated modelling support. They will make the modelling process easier and guarantee desired ....Automated Modelling Assistance for the Creation of Complex Planning Models. Artificial Intelligence (AI) planning technology is used to control systems like automated factories, robots, or to solve complex optimisation problems. Creating these models is however rather complex and error-prone and requires experts to create them in the first place. This project aims at developing techniques and tools for automated modelling support. They will make the modelling process easier and guarantee desired model properties such as the desired system behaviour. The tools will thus contribute towards making the technology more easily accessible to companies that might want to deploy them, while reducing costs for doing so and increasing the quality of these models.
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Integrating fire and predator management to conserve threatened species. This project aims to empower land managers to better conserve Australia’s threatened native animals by developing decision-support approaches that facilitate integrated management of threatening processes. The project will use a combination of novel predictive models, field experiments and data syntheses to assist land managers to better conserve Australia’s threatened native fauna. This project will benefit biodiversity co ....Integrating fire and predator management to conserve threatened species. This project aims to empower land managers to better conserve Australia’s threatened native animals by developing decision-support approaches that facilitate integrated management of threatening processes. The project will use a combination of novel predictive models, field experiments and data syntheses to assist land managers to better conserve Australia’s threatened native fauna. This project will benefit biodiversity conservation by enabling more effective allocation of limited conservation resources.Read moreRead less
Social isolation and volunteering of older Chinese immigrants in Australia. This co-designed and collaborative research addresses an acute challenge since COVID-19: how to make volunteering activities more accessible to CALD immigrants who suffer from serious social isolation. The researchers will work with 5 partner organisations (POs) to study Chinese immigrants (60+) in NSW as an example. It will analyse census and GSS datasets, conduct in-depth interviews and focus groups in the settings of ....Social isolation and volunteering of older Chinese immigrants in Australia. This co-designed and collaborative research addresses an acute challenge since COVID-19: how to make volunteering activities more accessible to CALD immigrants who suffer from serious social isolation. The researchers will work with 5 partner organisations (POs) to study Chinese immigrants (60+) in NSW as an example. It will analyse census and GSS datasets, conduct in-depth interviews and focus groups in the settings of old-age care, service navigation and elderly learning. This research will produce new evidence and test the effect of peer education, and support services and policy advocacy of the POs. This research will benefit CALD older immigrants, enhance service capacity and contribute to greater social cohesion in Australia.Read moreRead less
Using pollinators to optimise plant conservation translocation. This project aims to address the low success rate of conservation translocations of threatened orchids. While pollinators are critical for plant reproduction, they are very rarely considered when establishing new populations of endangered species. Our innovative approach to conservation translocation involves using pollinators in site selection, developing strategies to mitigate risks of hybridisation, and optimising plant reproduct ....Using pollinators to optimise plant conservation translocation. This project aims to address the low success rate of conservation translocations of threatened orchids. While pollinators are critical for plant reproduction, they are very rarely considered when establishing new populations of endangered species. Our innovative approach to conservation translocation involves using pollinators in site selection, developing strategies to mitigate risks of hybridisation, and optimising plant reproduction through planting design. The key outcome will be best-practice protocols to fast-track the establishment of self-sustaining populations. Due to their novelty, the approaches we develop will benefit plant translocations worldwide, and lead to enhanced conservation outcomes at reduced financial cost. Read moreRead less