Australian Laureate Fellowships - Grant ID: FL220100020
Funder
Australian Research Council
Funding Amount
$2,647,737.00
Summary
Unveiling the Winds of Star-Forming Galaxies. This project seeks to resolve an outstanding problem in the formation of cosmic structure: what is the nature of galactic winds, and what physical mechanisms are responsible for driving them? Answering these questions requires computer simulations of greater resolution than have previously been possible, coupled to next-generation telescopic observations. This research aims to develop novel methods to enable the required simulations, leveraging new h ....Unveiling the Winds of Star-Forming Galaxies. This project seeks to resolve an outstanding problem in the formation of cosmic structure: what is the nature of galactic winds, and what physical mechanisms are responsible for driving them? Answering these questions requires computer simulations of greater resolution than have previously been possible, coupled to next-generation telescopic observations. This research aims to develop novel methods to enable the required simulations, leveraging new hardware architectures at Australian supercomputer facilities, and to use these approaches to solve a major open problem in astrophysics, open new frontiers in simulation, and multiply the return on Australia's investment in both computer facilities and telescopes that will study galactic winds.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
Australian Laureate Fellowships - Grant ID: FL110100104
Funder
Australian Research Council
Funding Amount
$2,939,883.00
Summary
New approaches to discovering biodiversity and understanding its response to past climate change. New technologies will be used to predict and discover biodiversity hotspots in Australia, especially in the monsoonal tropics. New capacity will be built in biodiversity science, and the results used to improve conservation policy and the effectiveness of conservation planning.