Efficient structure search over large graphs. The project aims to develop advanced search technology to support large-scale graph applications. The success of the project not only brings a breakthrough in technology development but also provides training for high quality personnel in this important and growing area, and brings considerable economic and social benefits to Australia.
Making Ethics Work: A New Model for Business and Professional Ethics. Sound ethical practice is fundamental to long-term business success and organizational well-being. In developing a new framework for applied ethics, this project will enhance understanding of the foundations of ethics in business, organizational and professional contexts, as well as enabling improved ethical practice in those domains. As such, it will assist in strengthening Australia's social and cultural fabric, in promoting ....Making Ethics Work: A New Model for Business and Professional Ethics. Sound ethical practice is fundamental to long-term business success and organizational well-being. In developing a new framework for applied ethics, this project will enhance understanding of the foundations of ethics in business, organizational and professional contexts, as well as enabling improved ethical practice in those domains. As such, it will assist in strengthening Australia's social and cultural fabric, in promoting the conditions that facilitate innovation and creativity, in developing leadership capacities and organisational structures, and in supporting Australian business and industry through promoting greater ethical awareness and expertise.Read moreRead less
Modelling and estimation methods for discrete multi-dimensional systems. Multi-dimensional signal processing plays a role in a variety of application areas, ranging from remote sensing for environmental monitoring and geological mapping, to medical imaging and the automatic control of industrial processes. The success of the project will provide mathematical tools for the advancement of the state-of-the-art in these broad areas.
Inequality and economic growth. This project aims to identify forces driving inequality. Piketty’s influential book, Capital in the 21st Century, stimulated research on inequality to address the increased public concern about inequality and its side-effects such as reduced growth. Piketty proposes three laws that explain and predict inequality paths over time, but there is no empirical evidence or theoretical foundations for these laws. This project will examine Piketty’s laws and investigate fa ....Inequality and economic growth. This project aims to identify forces driving inequality. Piketty’s influential book, Capital in the 21st Century, stimulated research on inequality to address the increased public concern about inequality and its side-effects such as reduced growth. Piketty proposes three laws that explain and predict inequality paths over time, but there is no empirical evidence or theoretical foundations for these laws. This project will examine Piketty’s laws and investigate factors that shape inequality and its relation to growth. This knowledge should enable Australian governments to reduce inequality and benefit economic growth, thereby reducing disadvantage and building stronger, more resilient communities.Read moreRead less
Mathematical and computational models for agrichemical retention on plants. Mathematical and computational models for agrichemical retention on plants. This project aims to build interactive software that simulates agrichemical spraying for multiple virtual plants reconstructed from scanned data. Mathematical modelling and computer simulation could offer an alternative to expensive experimental programs for agrichemical spraying of plants. This project will use contemporary fluid mechanics to bu ....Mathematical and computational models for agrichemical retention on plants. Mathematical and computational models for agrichemical retention on plants. This project aims to build interactive software that simulates agrichemical spraying for multiple virtual plants reconstructed from scanned data. Mathematical modelling and computer simulation could offer an alternative to expensive experimental programs for agrichemical spraying of plants. This project will use contemporary fluid mechanics to build practical mathematical models for droplet impaction, spreading and evaporation on leaf surfaces, and experimentally calibrate and validate the models. The software is expected to drive the development of agrichemical products that increase retention, minimise environmental impacts, and reduce costs for end-users.Read moreRead less
#thismymob: Digital land rights and reconnecting Indigenous communities. This project aims to investigate how social technology can connect Indigenous communities and enhance wellbeing; design culturally appropriate and sensitive technologies that afford a safe refuge for Indigenous peoples and their communities. This project will design and evaluate a mobile app to implement a national-scale, Indigenous-led technology development project and develop a national technology research and developmen ....#thismymob: Digital land rights and reconnecting Indigenous communities. This project aims to investigate how social technology can connect Indigenous communities and enhance wellbeing; design culturally appropriate and sensitive technologies that afford a safe refuge for Indigenous peoples and their communities. This project will design and evaluate a mobile app to implement a national-scale, Indigenous-led technology development project and develop a national technology research and development framework and post-secondary Indigenous software engineering curricula. The project expects to benefit Indigenous developers, entrepreneurs and start-ups to develop, operate and own technology.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC210100008
Funder
Australian Research Council
Funding Amount
$4,282,859.00
Summary
ARC Training Centre for Behavioural Insights for Technology Adoption (BITA). Australia needs accelerated adoption of innovation technologies to improve outcomes in health, agriculture and cybersecurity. Despite technically viable solutions, innovations fail to be adopted due to behavioural barriers. Behavioural approaches can promote significant gains by bridging the barriers to technology adoption. The Centre for Behavioural Insights for Technology Adoption will boost national productivity by i ....ARC Training Centre for Behavioural Insights for Technology Adoption (BITA). Australia needs accelerated adoption of innovation technologies to improve outcomes in health, agriculture and cybersecurity. Despite technically viable solutions, innovations fail to be adopted due to behavioural barriers. Behavioural approaches can promote significant gains by bridging the barriers to technology adoption. The Centre for Behavioural Insights for Technology Adoption will boost national productivity by identifying, designing and evaluating solutions that address these barriers. By uniting industry and government with world-leading interdisciplinary researchers, the Centre will build transformative capability in people, data and solutions and support Australian organisations to achieve higher returns on technology investment.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE130100156
Funder
Australian Research Council
Funding Amount
$210,000.00
Summary
Computational infrastructure for machine learning in computer vision. The many trillions of images stored on computers around the world, including more than 100 billion on Facebook alone, represent exactly the information needed to develop artificial vision. All we need do is extract it. This project will develop the computational infrastructure required to allow Australian researchers to achieve this goal.
Young children in digital society: An Online Tool for service provision . This project aims to identify the practices enacted and shared amongst young children, their families and educators in digital society.The project is significant because in digital society families and educators face new demands ensuring technologies are used in the best interests of young children. Knowledge about practices in digital society informs adult decision-making using technologies with, by and for young children ....Young children in digital society: An Online Tool for service provision . This project aims to identify the practices enacted and shared amongst young children, their families and educators in digital society.The project is significant because in digital society families and educators face new demands ensuring technologies are used in the best interests of young children. Knowledge about practices in digital society informs adult decision-making using technologies with, by and for young children in the early years. The outcome is a new Online Tool for the Partner Organisations to share exemplar practices benefiting Australian children, their families and educators with new resources, materials and programs in areas including: digital media production, cyber-safety education, digital play and digital parenting.
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Discovery Early Career Researcher Award - Grant ID: DE230101058
Funder
Australian Research Council
Funding Amount
$437,254.00
Summary
Glass-box Deep Machine Perception for Trustworthy Artificial Intelligence. Explainability and Transparency are the key values for development and deployment of Artificial Intelligence (AI) in Australia’s AI Ethics Framework for industry and governments. This project aims to build new tools to make the central technology of AI - deep learning - transparent and explainable. Its expected outputs are novel theory-driven algorithms and unconventional foundational blocks for deep learning that will al ....Glass-box Deep Machine Perception for Trustworthy Artificial Intelligence. Explainability and Transparency are the key values for development and deployment of Artificial Intelligence (AI) in Australia’s AI Ethics Framework for industry and governments. This project aims to build new tools to make the central technology of AI - deep learning - transparent and explainable. Its expected outputs are novel theory-driven algorithms and unconventional foundational blocks for deep learning that will allow humans to clearly interpret the reasoning process of this technology, which is currently not possible. It is expected to significantly advance our knowledge in machine intelligence and perception. Due to their fundamental nature, the project outcomes are likely to benefit industry and scientific frontiers alike.Read moreRead less