Discovery Early Career Researcher Award - Grant ID: DE200100164
Funder
Australian Research Council
Funding Amount
$387,551.00
Summary
How do neural circuits coordinate to produce adaptive changes in behaviour? This project aims to discover how neurons alter their function in coordinated ways to produce adaptive changes in behaviour. Behavioural outputs result from the activity of multiple cells in a functional network, but current methods are limited to studying signalling effects on single neurons. To address this, I will develop new methods to visualise every cell in the brain of the living nematode worm to provide a unique ....How do neural circuits coordinate to produce adaptive changes in behaviour? This project aims to discover how neurons alter their function in coordinated ways to produce adaptive changes in behaviour. Behavioural outputs result from the activity of multiple cells in a functional network, but current methods are limited to studying signalling effects on single neurons. To address this, I will develop new methods to visualise every cell in the brain of the living nematode worm to provide a unique systems-level understanding of a model brain. Through collaboration with engineers and psychologists, I will describe molecular switches that trigger reorganisation of entire neural networks. Expected outcomes include new insights on neural circuit plasticity, which will advance discovery in neuroscience and robotics.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE230100998
Funder
Australian Research Council
Funding Amount
$444,576.00
Summary
Should I stay or should I go? How brain stem cells leave quiescence. Most adult stem cells in our brains are sleeping (quiescent). Quiescence helps ensure animals have a lifelong population of brain stem cells, which is crucial for the maintenance of brain circuitry. This project aims to investigate how this process is regulated at a molecular level. This project expects to define the molecular playbook controlling quiescence and explain why brain stem cells progress into deeper states of quiesc ....Should I stay or should I go? How brain stem cells leave quiescence. Most adult stem cells in our brains are sleeping (quiescent). Quiescence helps ensure animals have a lifelong population of brain stem cells, which is crucial for the maintenance of brain circuitry. This project aims to investigate how this process is regulated at a molecular level. This project expects to define the molecular playbook controlling quiescence and explain why brain stem cells progress into deeper states of quiescence during aging by combining novel tissue culture and genetic models, where brain stem cells have disrupted quiescence, with innovative methods of reading gene expression. The benefits of these outcomes include the development of methods to control the quiescence of brain stem cells for bioengineering purposes.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: DE200100692
Funder
Australian Research Council
Funding Amount
$417,842.00
Summary
Stopping in the Real World: Cognitive Architectures for Selective Stopping. Response inhibition is the ability to stop actions that are in progress but become no longer appropriate, such as halting an order to launch a missile strike when a civilian vehicle is detected. The project focuses on people’s ability to either stop all planned actions or selectively stop some actions while allowing others to occur. The goal is to develop methodology to reliably measure the time it takes to stop actions, ....Stopping in the Real World: Cognitive Architectures for Selective Stopping. Response inhibition is the ability to stop actions that are in progress but become no longer appropriate, such as halting an order to launch a missile strike when a civilian vehicle is detected. The project focuses on people’s ability to either stop all planned actions or selectively stop some actions while allowing others to occur. The goal is to develop methodology to reliably measure the time it takes to stop actions, investigate the psychological mechanisms involved in stopping, and develop tools for defence-related personnel and job selection. The project provides significant benefits by enabling the study of how response inhibition ensures that appropriate actions occur and how failures of inhibition result in inappropriate actions. 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