Every Day Matters: Reducing School Non-Attendance in Autistic Students. Autistic children miss one day a week of school, three times more than their peers. This significantly impacts their learning, wellbeing and later, their vocational outcomes. This project aims to identify the factors that put autistic children at increased risk of missing school and map the supports and interventions used to reduce school non-attendance. Expected outcomes include an autism-specific model of the how and why s ....Every Day Matters: Reducing School Non-Attendance in Autistic Students. Autistic children miss one day a week of school, three times more than their peers. This significantly impacts their learning, wellbeing and later, their vocational outcomes. This project aims to identify the factors that put autistic children at increased risk of missing school and map the supports and interventions used to reduce school non-attendance. Expected outcomes include an autism-specific model of the how and why school non-attendance is elevated for autistic students. It is anticipated that this model make the important step of enabling teachers and professionals to identify which autistic children are most at risk of absenteeism and select the best strategies to support a positive and beneficial return to school.Read moreRead less
"I think; therefore I am": Loneliness and neurodevelopmental disorders. This project aims to develop a 3-D animated program for adolescents with neurodevelopmental disorders (NDDs) that alters the automatic biases arising from their everyday social communication difficulties (including via social media), which result in negative thought patterns and loneliness. Negative thought patterns, which are arguably the hallmarks of, and causal in, the development of emotional dysfunction are amplified by ...."I think; therefore I am": Loneliness and neurodevelopmental disorders. This project aims to develop a 3-D animated program for adolescents with neurodevelopmental disorders (NDDs) that alters the automatic biases arising from their everyday social communication difficulties (including via social media), which result in negative thought patterns and loneliness. Negative thought patterns, which are arguably the hallmarks of, and causal in, the development of emotional dysfunction are amplified by loneliness, and adolescents with NDDs experience significantly greater levels of loneliness. Altering these negative thought patterns via an engaging 3-D animated program offers great potential to improve educational and social-emotional outcomes along with generating economic benefits nationally and internationally.Read moreRead less
Accessible Data Exploration and Analysis for Blind People. This project aims to develop new assistive technologies that will enable blind people to explore and analyse data more readily. The project expects to generate new knowledge in the fields of assistive technology, multimodal interfaces, dialogue systems and natural language understanding and generation. The expected outcome of the project is an innovative conversational agent that uses a mix of speech and tactile graphics to communicate ....Accessible Data Exploration and Analysis for Blind People. This project aims to develop new assistive technologies that will enable blind people to explore and analyse data more readily. The project expects to generate new knowledge in the fields of assistive technology, multimodal interfaces, dialogue systems and natural language understanding and generation. The expected outcome of the project is an innovative conversational agent that uses a mix of speech and tactile graphics to communicate with a blind user and proactively assists with data analysis tasks. This should provide significant benefits, as it will overcome barriers to data analysis and exploration by blind people that currently restrict access to government, health and personal data, and limit employment opportunities.Read moreRead less
Small Scalable Natural Language Models using Explicit Memory. Deep neural networks have had spectacular success in natural language processing, seeing wide-spread deployment as part of automatic assistant devices in homes and cars, and across many valuable industries including finance, medicine and law. Fueling this success is the use of ever larger models, with exponentially increasing training resources, accompanying hardware and energy demands. This project aims to develop more compact models ....Small Scalable Natural Language Models using Explicit Memory. Deep neural networks have had spectacular success in natural language processing, seeing wide-spread deployment as part of automatic assistant devices in homes and cars, and across many valuable industries including finance, medicine and law. Fueling this success is the use of ever larger models, with exponentially increasing training resources, accompanying hardware and energy demands. This project aims to develop more compact models, based on the incorporation of an explicit searchable memory, which will dramatically reduce model size, hardware requirements and energy usage. This will make modern natural language processing more accessible, while also providing greater flexibility, allowing for more adaptable and portable technologies.Read moreRead less
Visual evidence: transforming modern sex research (1880s - 1930s). This project aims to explore how photography and film transformed understandings of human sexuality. By analysing how and why doctors and scientists shifted their attention from textual to visual evidence, the project will contribute to understandings about how images have been used historically to create medical norms and communicate scientific knowledge to broad audiences. Focusing on Germany as the international centre of earl ....Visual evidence: transforming modern sex research (1880s - 1930s). This project aims to explore how photography and film transformed understandings of human sexuality. By analysing how and why doctors and scientists shifted their attention from textual to visual evidence, the project will contribute to understandings about how images have been used historically to create medical norms and communicate scientific knowledge to broad audiences. Focusing on Germany as the international centre of early twentieth-century sex research, the project will examine how the turn to visual evidence had a transnational impact by paving the way for post-war researchers such as Kinsey, Masters and Johnson, and for a better understanding of the history of human sexuality in Australia.Read moreRead less
Excellent researchers: Using learner profiles to enhance research learning. Recent evidence concerning metacognitive learning and affect reveals that research degree candidates are a diverse group of learners, and little is known about explaining wasteful attrition, stress and delays in progress. Such a study is essential, especially given the growth in research degrees, new transitional pathways, diversity in candidate backgrounds and chronic high attrition. This longitudinal study applies new ....Excellent researchers: Using learner profiles to enhance research learning. Recent evidence concerning metacognitive learning and affect reveals that research degree candidates are a diverse group of learners, and little is known about explaining wasteful attrition, stress and delays in progress. Such a study is essential, especially given the growth in research degrees, new transitional pathways, diversity in candidate backgrounds and chronic high attrition. This longitudinal study applies new findings about doctoral learning profiles in a direct intervention (DOCLearnPro) that targets individual differences across students in doctoral and master’s degrees to improve learning outcomes significantly and contribute theoretically, methodologically and substantively in order to advance understanding of researcher development.Read moreRead less
Toward Human-guided Safe Reinforcement Learning in the Real World. This project aims to investigate human-guided safe reinforcement learning (RL). Safe RL is an important topic that could enable real applications of RL systems by addressing safety constraints. Existing safe RL assumes the availability of specified safety constraints in mathematical or logical forms. This project proposes to study learning safety objectives from information provided directly by humans or indirectly via language m ....Toward Human-guided Safe Reinforcement Learning in the Real World. This project aims to investigate human-guided safe reinforcement learning (RL). Safe RL is an important topic that could enable real applications of RL systems by addressing safety constraints. Existing safe RL assumes the availability of specified safety constraints in mathematical or logical forms. This project proposes to study learning safety objectives from information provided directly by humans or indirectly via language models, and human-guided continuous correction for safety improvements. The established theories and developed algorithms will advance frontier technologies in AI and contribute to a wide range of real applications of safe RL, such as robotics and autonomous driving, bringing enormous social and economic benefits. Read moreRead less
Generative Visual Pre-training on Unlabelled Big Data. This project aims to develop a generative visual pre-training of large-scale deep neural networks on unlabelled big data. Developing pre-trained visual models that are accurate, robust, and efficient for downstream tasks is a keystone of modern computer vision, but it poses challenges and knowledge gaps to existing unsupervised representation learning. Expected outcomes include new theories and algorithms for unsupervised visual pre-training ....Generative Visual Pre-training on Unlabelled Big Data. This project aims to develop a generative visual pre-training of large-scale deep neural networks on unlabelled big data. Developing pre-trained visual models that are accurate, robust, and efficient for downstream tasks is a keystone of modern computer vision, but it poses challenges and knowledge gaps to existing unsupervised representation learning. Expected outcomes include new theories and algorithms for unsupervised visual pre-training, which are anticipated to deepen our understanding of visual representation and make it easier to build and deploy computer vision applications and services. Examples of benefits include modernising machines in manufacturing and farming with visual intelligence. Read moreRead less
Developing interdisciplinary expertise in universities. This project aims to create a strong integrative research foundation to explain how university researchers and students develop the expertise needed to work in interdisciplinary teams and how this development can be enhanced. It combines three perspectives investigating: how research and innovation communities create interdisciplinary knowledge, how interdisciplinary teams learn to function effectively and the personal resourcefulness that ....Developing interdisciplinary expertise in universities. This project aims to create a strong integrative research foundation to explain how university researchers and students develop the expertise needed to work in interdisciplinary teams and how this development can be enhanced. It combines three perspectives investigating: how research and innovation communities create interdisciplinary knowledge, how interdisciplinary teams learn to function effectively and the personal resourcefulness that enables individuals to participate in interdisciplinary work. The outcomes will provide a much better understanding of the qualities that help individuals and groups to work productively across disciplinary boundaries. They will be used to create better strategies for supporting interdisciplinary learningRead moreRead less
3D Printed Food for People with Swallowing Disability. This project aims to identify ways that 3D food printing (additive manufacturing using real food in a device like a ink-jet printer) could be used to improve the visual appeal of puree meals for people with swallowing difficulty, who make up ~8% of the world's population. This study will be the first to include people with swallowing disability (e.g., related to cerebral palsy, stroke, older age) and their supporters in examining the views a ....3D Printed Food for People with Swallowing Disability. This project aims to identify ways that 3D food printing (additive manufacturing using real food in a device like a ink-jet printer) could be used to improve the visual appeal of puree meals for people with swallowing difficulty, who make up ~8% of the world's population. This study will be the first to include people with swallowing disability (e.g., related to cerebral palsy, stroke, older age) and their supporters in examining the views and experiences of stakeholders on the impact of 3D food printing on quality of life, enjoyment, participation, and safety. Outcomes include new knowledge on factors affecting the implementation of 3D food printing in disability and aged care services, to inform policy, practice, and future research.Read moreRead less