Discovery Early Career Researcher Award - Grant ID: DE210101896
Funder
Australian Research Council
Funding Amount
$436,875.00
Summary
Interface engineering of 2D materials for advanced battery application. The fast-growing energy storage market demands new devices with both high energy and power density. This project aims to understand and then engineering electrode-electrolyte interfaces using novel two-dimensional (2D) materials to achieve accelerated ion transport and enhanced surface redox reactions. Advanced in-situ and ex-situ characterization tools, including X-ray scattering, neutron scattering, and terahertz time-doma ....Interface engineering of 2D materials for advanced battery application. The fast-growing energy storage market demands new devices with both high energy and power density. This project aims to understand and then engineering electrode-electrolyte interfaces using novel two-dimensional (2D) materials to achieve accelerated ion transport and enhanced surface redox reactions. Advanced in-situ and ex-situ characterization tools, including X-ray scattering, neutron scattering, and terahertz time-domain spectroscopy, will be employed to study energy storage mechanisms. Novel solid-state batteries will be demonstrated based on well-designed electrodes using 2D materials. This project will boost the standing of Australia in the global competition of developing more efficient energy storage devices. Read moreRead less
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