ARC Centre of Excellence for the Elimination of Violence Against Women. ARC Centre of Excellence for the Elimination of Violence Against Women. Eliminating violence against women is one of the major challenges of the 21st century. Awareness of the problem has grown exponentially, but solutions to it have not. This Centre aims to transform our understanding of the problem by examining the structural drivers that cause and compound violence against women, and pioneering new, evidence-based approac ....ARC Centre of Excellence for the Elimination of Violence Against Women. ARC Centre of Excellence for the Elimination of Violence Against Women. Eliminating violence against women is one of the major challenges of the 21st century. Awareness of the problem has grown exponentially, but solutions to it have not. This Centre aims to transform our understanding of the problem by examining the structural drivers that cause and compound violence against women, and pioneering new, evidence-based approaches to radically improve policy and practice across Australia and the Indo-Pacific. The Centre mobilises survivor-centric and Indigenous methodologies, interdisciplinary collaborations, and Indo-Pacific partnerships to deliver scalable approaches to eliminate violence against women across the legal, security, economic, health, and political systems of Australia and the region.Read moreRead less
Formal approaches to legal reasoning. This project aims to use formal epistemology to improve understanding of existing legal practices and to propose recommendations for improving the consistency and accuracy of legal proceedings. Since judges and juries rarely know all the relevant facts, they must make the best decision possible in the face of uncertainty. Formal epistemology employs probabilistic reasoning to advance understanding of how to form beliefs and make decisions in response to unce ....Formal approaches to legal reasoning. This project aims to use formal epistemology to improve understanding of existing legal practices and to propose recommendations for improving the consistency and accuracy of legal proceedings. Since judges and juries rarely know all the relevant facts, they must make the best decision possible in the face of uncertainty. Formal epistemology employs probabilistic reasoning to advance understanding of how to form beliefs and make decisions in response to uncertain evidence. The project has potential to influence the relevant policy and will result in improved legal reasoning and risk reduction in legal decision making.Read moreRead less
Dimension reduction and model selection for statistically challenging data. This project aims to develop a deep theoretical understanding of the relationship between various dimension reduction and model selection methods used in statistical model building, and then use this understanding to develop new, improved methods of model building for statistically challenging data. The research will impact on both the theory and practice of statistics, and on substantive fields which collect and analyse ....Dimension reduction and model selection for statistically challenging data. This project aims to develop a deep theoretical understanding of the relationship between various dimension reduction and model selection methods used in statistical model building, and then use this understanding to develop new, improved methods of model building for statistically challenging data. The research will impact on both the theory and practice of statistics, and on substantive fields which collect and analyse these kinds of data. This will provide a significant improvement in the statistical model building in areas such as epidemiology, chemical and ecological sciences. The project is timely because of the increasing collection of large-dimensional, complex, correlated data sets in these and many other fields.Read moreRead less
Prediction, inference and their application to modelling correlated data. This project aims to create new, improved methods for prediction and making inference about predictions for a variety of correlated data types through inventing sophisticated and novel resampling schemes such as the generalised fast bootstrap and repeated partial permutation. The research will impact on both the theory and practice of statistics and on substantive fields which use mixed or compositional models to analyse d ....Prediction, inference and their application to modelling correlated data. This project aims to create new, improved methods for prediction and making inference about predictions for a variety of correlated data types through inventing sophisticated and novel resampling schemes such as the generalised fast bootstrap and repeated partial permutation. The research will impact on both the theory and practice of statistics and on substantive fields which use mixed or compositional models to analyse dependent data. This will be a significant improvement in the assessment and stability of statistical models in areas such as social, ecological and geological sciences.Read moreRead less
Finding equivalence between natural and artificial intelligences. This project aims to investigate the ways in which artificial intelligence is equivalent to human intelligence. Computers outperform humans in many domains, yet it is clear that computers often don’t perform tasks the way humans do. Developing innovative methods for evaluating claims of equivalence by drawing on simpler, well-understood model systems like the honeybee brain, the project expects to fill this existing knowledge gap. ....Finding equivalence between natural and artificial intelligences. This project aims to investigate the ways in which artificial intelligence is equivalent to human intelligence. Computers outperform humans in many domains, yet it is clear that computers often don’t perform tasks the way humans do. Developing innovative methods for evaluating claims of equivalence by drawing on simpler, well-understood model systems like the honeybee brain, the project expects to fill this existing knowledge gap. Expected outcomes include a framework that provides powerful, nuanced criteria for comparison of natural and artificial intelligences. Benefits are expected to include enhanced guidance for the development of AI systems both in everyday contexts and as exploratory tools in comparative and cognitive neuroscience.Read moreRead less
Discovering a ‘good read’: Pathways to reading for Australian teens. This project aims to support the school, library, and book industries to increase teenagers’ recreational reading. Matching the right book to the right reader is essential to increase young people’s motivation to read. Yet how cultural intermediaries should operate to best effect within the complex ecologies that shape young people’s text selection is unclear. The project expects to generate robust evidence on how teens discove ....Discovering a ‘good read’: Pathways to reading for Australian teens. This project aims to support the school, library, and book industries to increase teenagers’ recreational reading. Matching the right book to the right reader is essential to increase young people’s motivation to read. Yet how cultural intermediaries should operate to best effect within the complex ecologies that shape young people’s text selection is unclear. The project expects to generate robust evidence on how teens discover books and the cultural factors that influence their choices. Expected outcomes include strategies that libraries, schools, and the book industry can use to promote Australian content for young adults, and equip young people to participate more fully in the social and economic benefits of pleasure reading.Read moreRead less
Performing transdisciplinarity. This project aims to use the illustrated songbook, a performative genre which fuses image, music and text, to study the transdisciplinary nature of 18th-century print culture. Through multifaceted research on an exemplary songbook, this project will create a multimedia digital interface for linking deep disciplinary knowledge and the recreation of the sounds, sensibilities, and social mores of 18th-century France. The project's model of rich digital understanding ....Performing transdisciplinarity. This project aims to use the illustrated songbook, a performative genre which fuses image, music and text, to study the transdisciplinary nature of 18th-century print culture. Through multifaceted research on an exemplary songbook, this project will create a multimedia digital interface for linking deep disciplinary knowledge and the recreation of the sounds, sensibilities, and social mores of 18th-century France. The project's model of rich digital understanding has potential benefits for cultural institutions whose complex objects lie dormant or underused.Read moreRead less
Re-imaging the empirical: Statistical visualisation in art and science. This project aims to investigate how statistical images re-shape diverse knowledge domains and practices from facial recognition to medical diagnosis to video-tagging, and how arts-led visualisation changes statistical image conventions and techniques. The overlap of popular, scientific and aesthetic dimensions of visual culture with data analytical techniques is creating a new kind of statistical visual culture. However, th ....Re-imaging the empirical: Statistical visualisation in art and science. This project aims to investigate how statistical images re-shape diverse knowledge domains and practices from facial recognition to medical diagnosis to video-tagging, and how arts-led visualisation changes statistical image conventions and techniques. The overlap of popular, scientific and aesthetic dimensions of visual culture with data analytical techniques is creating a new kind of statistical visual culture. However, there is scant literacy or understanding of statistical visualisation's role in empirical domains today. This project aims to improve visual literacies and dialogue across communities of practice in art and science, and to communicate the value and role of statistics today.Read moreRead less
Mongolian medicine: different modes of knowledge transmission. This project aims to investigate a multispecies approach within nomadic medical practices and how this knowledge has been transmitted on the Mongolian Plateau. It will examine how Mongolian medicine treats both humans and animal patients, and how multispecies knowledge has developed over time. The project will focus on three forms of knowledge transmission: learning through word-of-mouth and practical trial-and-error; a more structur ....Mongolian medicine: different modes of knowledge transmission. This project aims to investigate a multispecies approach within nomadic medical practices and how this knowledge has been transmitted on the Mongolian Plateau. It will examine how Mongolian medicine treats both humans and animal patients, and how multispecies knowledge has developed over time. The project will focus on three forms of knowledge transmission: learning through word-of-mouth and practical trial-and-error; a more structured form of learning through Buddhist monasteries, which engages with both apprenticeship and ancient texts; and the modern institutional model of the hospital. The project expects to contribute to research on global health across species, as well as across different environmental contexts within local settings.Read moreRead less
ARC Centre of Excellence for Plant Success in Nature and Agriculture. The ARC CoE for Plant Success in Nature and Agriculture will discover the adaptive strategies underpinning productivity and resilience in diverse plants and deepen knowledge of the genetic and physiological networks driving key traits. Using novel quantitative and computational approaches, the Centre will link gene networks with traits across biological levels, giving breeders an unparalleled predictive capacity. The Centre wi ....ARC Centre of Excellence for Plant Success in Nature and Agriculture. The ARC CoE for Plant Success in Nature and Agriculture will discover the adaptive strategies underpinning productivity and resilience in diverse plants and deepen knowledge of the genetic and physiological networks driving key traits. Using novel quantitative and computational approaches, the Centre will link gene networks with traits across biological levels, giving breeders an unparalleled predictive capacity. The Centre will accelerate technologies to transfer successful networks into crops and build legal frameworks to secure this knowledge. With a uniquely multidisciplinary team, the Centre will deliver new strategies to address the problems of food security and climate change, establishing Australia as a global leader in these areas.Read moreRead less