Conviction Politics: the convict routes of Australian democracy. This transnational digital history project aims to demonstrate the importance of collective convict protest to the early development of democracy in colonial Australia. It generates new knowledge about Australian convict history, documenting for the first time the extent and character of convict activism 1788-1850 and offers fresh perspectives on the role of ‘political’ transportees in the mobilisation of the wider convict and free ....Conviction Politics: the convict routes of Australian democracy. This transnational digital history project aims to demonstrate the importance of collective convict protest to the early development of democracy in colonial Australia. It generates new knowledge about Australian convict history, documenting for the first time the extent and character of convict activism 1788-1850 and offers fresh perspectives on the role of ‘political’ transportees in the mobilisation of the wider convict and free population for reform. Expected project outcomes include building international and interdisciplinary HASS/STEM/industry collaborations in digital methods for archive research and communication, delivering significant benefits, notably innovative media ensuring impact with domestic and international audiences.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
Discovery Early Career Researcher Award - Grant ID: DE220100265
Funder
Australian Research Council
Funding Amount
$417,000.00
Summary
A closed-loop human–agent learning framework to enhance decision making. This project aims to design a foundational human–agent learning framework to augment the decision making process, using reinforcement and closed-loop mechanisms to enable symbiosis between a human and an artificial-intelligence agent. It envisages significant new technologies to promote controllability and efficient and safe exploration of an environment for decision actions – drastically boosting learning effectiveness and ....A closed-loop human–agent learning framework to enhance decision making. This project aims to design a foundational human–agent learning framework to augment the decision making process, using reinforcement and closed-loop mechanisms to enable symbiosis between a human and an artificial-intelligence agent. It envisages significant new technologies to promote controllability and efficient and safe exploration of an environment for decision actions – drastically boosting learning effectiveness and interpretability in decision making. Expected outcomes will benefit national cybersecurity by improving our understanding of vulnerabilities and threats involving decision actions, and by ensuring that human feedback and evaluations can help prevent catastrophic events in explorations of dynamic and complex environments.Read moreRead less
Warratyi: Cultural Innovation in the Indigenous Settlement of Australia. This project aims to determine the role of cultural innovation in the Indigenous settlement of Australia's arid zone 50,000 years ago. Using innovative methods, it will produce new data on key technologies, symbolic behaviours and human interactions with animals and environment to identify the cultural innovations needed to overcome the challenges of Australia's deserts. Expected outcomes include new understandings of the s ....Warratyi: Cultural Innovation in the Indigenous Settlement of Australia. This project aims to determine the role of cultural innovation in the Indigenous settlement of Australia's arid zone 50,000 years ago. Using innovative methods, it will produce new data on key technologies, symbolic behaviours and human interactions with animals and environment to identify the cultural innovations needed to overcome the challenges of Australia's deserts. Expected outcomes include new understandings of the settlement of the arid zone to inform global debates relating to the dispersal, settlement and lifestyles of early humans in marginal environments. Expected benefits include new information for cultural tourism and education and to support South Australia’s World Heritage nomination for the Flinders Ranges.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