High resolution warm ocean records from laminated sediment. This project will produce environmental records during ocean warming events in the geologic past to reveal processes associated with warm oceans similar to those anticipated in the coming century. New Australian technology allows investigation of sediment records at unprecedented time resolution providing insight into processes operating on societally relevant time scales of decades to centuries. This work will open an archive of climat ....High resolution warm ocean records from laminated sediment. This project will produce environmental records during ocean warming events in the geologic past to reveal processes associated with warm oceans similar to those anticipated in the coming century. New Australian technology allows investigation of sediment records at unprecedented time resolution providing insight into processes operating on societally relevant time scales of decades to centuries. This work will open an archive of climate information revealing feedback, thresholds and tipping points from past events previously inaccessible because of technical and conceptual limitations. It will provide critical inputs into models predicting future climate and to illuminate the risks and compensating feedbacks occurring with warming.
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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