Theoretical Foundations of Ethical Machine Learning. The project aims to develop a systematic theory of ethical machine learning. Machine learning is a powerful and pervasive technology that is already having a huge impact on Australia. When applied to data about people there are a range of ethical harms that can arise (fairness, and privacy are two of them). The project aims to develop a rigorously grounded foundation for managing such ethical harms. For example it will allow the quantification ....Theoretical Foundations of Ethical Machine Learning. The project aims to develop a systematic theory of ethical machine learning. Machine learning is a powerful and pervasive technology that is already having a huge impact on Australia. When applied to data about people there are a range of ethical harms that can arise (fairness, and privacy are two of them). The project aims to develop a rigorously grounded foundation for managing such ethical harms. For example it will allow the quantification of the inevitable trade-offs between fairness and utility. The benefits of the project should include better ways of managing these trade-offs, a competitive advantage for Australian firms developing the technology, and will ensure that the country retains a social license to use the technology.Read moreRead less
Australian Laureate Fellowships - Grant ID: FL200100176
Funder
Australian Research Council
Funding Amount
$3,128,080.00
Summary
Theoretical Foundations of Ethical Machine Learning. The project will develop a systematic theory of ethical machine learning. Machine learning is a powerful and pervasive technology that is already having a huge impact on Australia. When applied to data about people there are a range of ethical harms that can arise (fairness, and privacy are two of them). The project will develop a rigorously grounded foundation for managing such ethical harms. For example it will allow the quantification of t ....Theoretical Foundations of Ethical Machine Learning. The project will develop a systematic theory of ethical machine learning. Machine learning is a powerful and pervasive technology that is already having a huge impact on Australia. When applied to data about people there are a range of ethical harms that can arise (fairness, and privacy are two of them). The project will develop a rigorously grounded foundation for managing such ethical harms. For example it will allow the quantification of the inevitable trade-offs between fairness and utility. The benefits of the project will include the best possible ways of managing these trade-offs, competitive advantage for Australian firms developing the technology, and will ensure that the country retains a social license to use the technology.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE170100477
Funder
Australian Research Council
Funding Amount
$380,000.00
Summary
The unintended consequences of foreign military training. This project aims to explore the effects of foreign military training on civil-military relations in recipient states. Developed countries are increasingly training developing countries’ militaries. While training is provided to promote traditional security goals, development, and stability, it may have unintended consequences including increasing the prospect of a coup. Using quantitative and qualitative methods, including case studies o ....The unintended consequences of foreign military training. This project aims to explore the effects of foreign military training on civil-military relations in recipient states. Developed countries are increasingly training developing countries’ militaries. While training is provided to promote traditional security goals, development, and stability, it may have unintended consequences including increasing the prospect of a coup. Using quantitative and qualitative methods, including case studies of the US and Australia, the project aims to explain the effects of these training programs, advance the understanding of civil-military relations and produce policy recommendations to improve outcomes of engagement with foreign militaries.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE200100803
Funder
Australian Research Council
Funding Amount
$405,763.00
Summary
Slicing dead stars to reveal the origin of heavy elements in the Universe. This project aims to improve our understanding of how massive stars forge heavy elements like oxygen, that are key to life. It will use state-of-the-art spectrographs on Australian and Chilean telescopes to observe the ashes of dead stars, and test recent theoretical models. Expected outcomes include spectral maps of young supernova remnants, new observational constraints for theoretical models of massive stars and core-c ....Slicing dead stars to reveal the origin of heavy elements in the Universe. This project aims to improve our understanding of how massive stars forge heavy elements like oxygen, that are key to life. It will use state-of-the-art spectrographs on Australian and Chilean telescopes to observe the ashes of dead stars, and test recent theoretical models. Expected outcomes include spectral maps of young supernova remnants, new observational constraints for theoretical models of massive stars and core-collapse supernovae, and innovative visualization solutions for complex 3D datasets. This project is expected to largely refine our grasp of the formation of heavy elements in the Universe, and thus provide significant cultural benefit in enhancing our understanding of mankind's cosmic origin in the heart of massive stars. Read moreRead less
Investigating Wnt signaling during human nephron commitment and patterning. Aims: To use gene edited stem cell lines that display cell location, identity and cell state to map human kidney tissue formation in the laboratory. By monitoring how each cell responds to those around it across time and space, we will for the first time map the formation of kidney tissue in the dish.
Significance: Understanding how stem cells form a tissue will help us to improve and control the process. This is key to ....Investigating Wnt signaling during human nephron commitment and patterning. Aims: To use gene edited stem cell lines that display cell location, identity and cell state to map human kidney tissue formation in the laboratory. By monitoring how each cell responds to those around it across time and space, we will for the first time map the formation of kidney tissue in the dish.
Significance: Understanding how stem cells form a tissue will help us to improve and control the process. This is key to advancing tissue engineering.
Expected outcomes: The proposal will pioneer state-of-the-art imaging, gene editing and machine learning approaches, generating models of human development that are currently unavailable.
Benefits: This understanding will guide the development of novel approaches to tissue engineering.
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Understanding the robustness and plasticity of metabolite concentrations. This project aims to further the understanding of how organisms mitigate the effects of changing environment by altering metabolite concentrations, important for food quality, energetics, and health. Through this understanding, the project provides the potential to precisely tailor metabolic intervention strategies, highly beneficial for applied sciences. The expected outcome of the project is a suite of computational appr ....Understanding the robustness and plasticity of metabolite concentrations. This project aims to further the understanding of how organisms mitigate the effects of changing environment by altering metabolite concentrations, important for food quality, energetics, and health. Through this understanding, the project provides the potential to precisely tailor metabolic intervention strategies, highly beneficial for applied sciences. The expected outcome of the project is a suite of computational approaches that allow for integration of large-scale data with networks to predict metabolite concentration ranges. This will provide significant benefit with the aim of maintaining outstanding research in Australia, and has clear potential for improved human health and enhanced food quality via metabolic reprogramming.Read moreRead less
Australian Laureate Fellowships - Grant ID: FL160100170
Funder
Australian Research Council
Funding Amount
$2,887,531.00
Summary
Scaling in biology: size control at the cell, organelle and organism level. This project aims to decipher the universal mechanisms that coordinate growth with division and thereby dictate the size of the cell. It would investigate this question from the triangulating perspective of evolution using yeast and animal models. It plans to interrogate the complex sub-networks that govern cell size using novel genome-scale reagent sets for systematic genetics and other approaches. It would integrate th ....Scaling in biology: size control at the cell, organelle and organism level. This project aims to decipher the universal mechanisms that coordinate growth with division and thereby dictate the size of the cell. It would investigate this question from the triangulating perspective of evolution using yeast and animal models. It plans to interrogate the complex sub-networks that govern cell size using novel genome-scale reagent sets for systematic genetics and other approaches. It would integrate this data in predictive mathematical models of size control that illuminate how the cell processes size-related information, and how size mechanisms evolve to impact form and function in biology. This research is expected to have commercial applications in biotechnology processes and bioengineering.Read moreRead less