Big-Picture Bioethics: policy-making and liberal democracy. We live an era of rapid growth in biotechnology generating new and difficult ethical questions that need to be tackled by bioethicists and politicians. This project goes beyond typical approaches in bioethics to explore the "big picture": how policies are generated in ethically-contentious domains. It is important to examine how the values of different stakeholders are reflected in such processes to ensure that they are in accordance wi ....Big-Picture Bioethics: policy-making and liberal democracy. We live an era of rapid growth in biotechnology generating new and difficult ethical questions that need to be tackled by bioethicists and politicians. This project goes beyond typical approaches in bioethics to explore the "big picture": how policies are generated in ethically-contentious domains. It is important to examine how the values of different stakeholders are reflected in such processes to ensure that they are in accordance with Australia's commitment to fostering a multicultural, pluralistic, democratic society. This project will produce practical recommendations for refining public consultation in healthcare policy-making through an examination of three relevant contentious case studies in Australia with comparison to Canada.Read moreRead less
Artificial Intelligence, Robots, and Agriculture: Social and ethical issues. This project aims to investigate the social and ethical issues raised by the use of artificial intelligence and robotics in agriculture. By combining social science research methods and philosophical analysis, the project aims to generate new knowledge in bioethics and applied ethics. Expected outcomes of this project include an account of the social and ethical issues farmers, rural communities, and consumers anticipat ....Artificial Intelligence, Robots, and Agriculture: Social and ethical issues. This project aims to investigate the social and ethical issues raised by the use of artificial intelligence and robotics in agriculture. By combining social science research methods and philosophical analysis, the project aims to generate new knowledge in bioethics and applied ethics. Expected outcomes of this project include an account of the social and ethical issues farmers, rural communities, and consumers anticipate arising from these technologies, improved understanding of these issues, and an account of how these groups would like to see these issues addressed. This should help Australia benefit from the responsible use of artificial intelligence and robotics in agriculture.Read moreRead less
Remote presence for guidance on physical tasks. This project aims to transform remote collaboration on physical tasks. Current systems for remote collaboration on physical tasks are not as effective as working face-to-face. This could be overcome by sharing non-verbal cues, designing systems to account for cultural issues, and using a new model of communication. This project will develop theories and interaction methods for remote guidance based on natural non-verbal communication cues and cultu ....Remote presence for guidance on physical tasks. This project aims to transform remote collaboration on physical tasks. Current systems for remote collaboration on physical tasks are not as effective as working face-to-face. This could be overcome by sharing non-verbal cues, designing systems to account for cultural issues, and using a new model of communication. This project will develop theories and interaction methods for remote guidance based on natural non-verbal communication cues and cultural issues. This project is expected to benefit industries with widely distributed multi-cultural workforces such as mining, defence and medicine.Read moreRead less
An efficient approach to the computation of bacterial evolutionary distance. This project aims to apply advanced mathematical tools to improve our understanding of bacterial evolution. Bacteria account for as much total Earth biomass as all plant species put together, and have an unparalleled ability to evolve quickly and adapt to changing environments. Unfortunately, the existing mathematical models used to model bacterial evolution are generally computationally intractable. This project will r ....An efficient approach to the computation of bacterial evolutionary distance. This project aims to apply advanced mathematical tools to improve our understanding of bacterial evolution. Bacteria account for as much total Earth biomass as all plant species put together, and have an unparalleled ability to evolve quickly and adapt to changing environments. Unfortunately, the existing mathematical models used to model bacterial evolution are generally computationally intractable. This project will rectify this situation by using representation theory to transform combinatorial group theory into linear algebra, allowing for the application of advanced methods of numeric approximation. This will provide a better understanding of how bacteria evolve and improve our ability to manage their impact.Read moreRead less
Physics-aware machine learning for data-driven fire risk prediction. The 2019/20 Australian fire season was unprecedented in its extent, impact, and the response of fire agencies. In this project, we aim to answer the question: was the scale of these fires driven by known drivers of fire (drought, weather, fuels and ignitions), or were fundamentally new undescribed processes and phenomena involved? We will accomplish this by developing an innovative, physics-aware machine learning model of fire ....Physics-aware machine learning for data-driven fire risk prediction. The 2019/20 Australian fire season was unprecedented in its extent, impact, and the response of fire agencies. In this project, we aim to answer the question: was the scale of these fires driven by known drivers of fire (drought, weather, fuels and ignitions), or were fundamentally new undescribed processes and phenomena involved? We will accomplish this by developing an innovative, physics-aware machine learning model of fire risk and spread, trained and validated on a two-decade satellite fire record. The predictive ability of the model will be tested on the 2019/20 fire season to determine if novel drivers of fire can be identified, and the model itself will be operationalised into a novel short-to-mid term fire risk prediction tool. Read moreRead less