Object-based motion estimation for highly efficient streaming video. This project aims to develop motion and shape estimation tools that allow video content to be predicted at any point in time using frame data that is available at other points in time. Applications of this include video coding, frame synthesis for temporal re-sampling. The project expects to develop algorithms for jointly estimating compact motion and shape descriptions of video content. These descriptions will allow quality re ....Object-based motion estimation for highly efficient streaming video. This project aims to develop motion and shape estimation tools that allow video content to be predicted at any point in time using frame data that is available at other points in time. Applications of this include video coding, frame synthesis for temporal re-sampling. The project expects to develop algorithms for jointly estimating compact motion and shape descriptions of video content. These descriptions will allow quality refinement by progressively adding spatial and temporal detail. It is expected that these compact descriptions will lead to significantly more flexible and efficient transmission of video content over modern communications networks.Read moreRead less
Securing Web-based Services by Policy Coherence and Proof-checking. This project aims to develop a provably correct cybersecurity system for workflows, which enables organizations to provide flexible and more secure web-based services and business communication. The project expects to generate new knowledge, theoretic advancement and result in new technologies in the areas of internet of things and cybersecurity. The expected outcomes include a software tool with documentation, which helps organ ....Securing Web-based Services by Policy Coherence and Proof-checking. This project aims to develop a provably correct cybersecurity system for workflows, which enables organizations to provide flexible and more secure web-based services and business communication. The project expects to generate new knowledge, theoretic advancement and result in new technologies in the areas of internet of things and cybersecurity. The expected outcomes include a software tool with documentation, which helps organisations achieve operational excellence and security, and maintain a trusted environment for end users. This system will provide significant economic and commercial benefits to business and end users with highly secured web-services and improved productivity through a coherent framework and proof-checked workflows.Read moreRead less
Data-driven Approach to Resilient Online Service Systems. This project aims to develop a data-driven approach to improving the resilience of online service systems. Many software systems are now provided as online services via the Internet on a 24/7 basis. Although a lot of effort has been devoted to service quality assurance, in reality, online service systems still encounter many incidents and fail to satisfy user requests. This project expects to develop innovative data-driven methods for eff ....Data-driven Approach to Resilient Online Service Systems. This project aims to develop a data-driven approach to improving the resilience of online service systems. Many software systems are now provided as online services via the Internet on a 24/7 basis. Although a lot of effort has been devoted to service quality assurance, in reality, online service systems still encounter many incidents and fail to satisfy user requests. This project expects to develop innovative data-driven methods for effective fault identification, fault localization, and failure prediction. Expected outcomes of this project include novel techniques and tools for maintaining online service systems. This project will provide significant benefits, such as improving the resilience and reliability of our cyber infrastructure.Read moreRead less
Australian Experiences of Algorithmic Culture on TikTok. This project is the first to systematically investigate how algorithmic content recommendation is shaping everyday Australian cultural experience over time, in the particular context of TikTok—the digital platform where Australians spend the most time online. The project provides critical evidence to support the government's ongoing policy initiatives intended to regulate the activities of digital platforms. Its methodological innovations ....Australian Experiences of Algorithmic Culture on TikTok. This project is the first to systematically investigate how algorithmic content recommendation is shaping everyday Australian cultural experience over time, in the particular context of TikTok—the digital platform where Australians spend the most time online. The project provides critical evidence to support the government's ongoing policy initiatives intended to regulate the activities of digital platforms. Its methodological innovations directly address the challenges of studying commercial platforms' recommender systems through a mixed-method research design combining computational and qualitative analysis, bridging universal and individual perspectives and introducing ‘citizen science’ approaches to the field of platform studies.Read moreRead less
Addressing Online Hostility in Australian Digital Cultures. This project aims to provide a comprehensive account of Australians’ experiences of online hostility, abuse, trolling and extremist hate speech, which have increased over the past decade. The research expects to analyse the experiences of diverse Australian online users, moderators and stakeholders, to determine their practices, attitudes, and innovations, and their perceptions on how to address this social problem. Expected outcomes of ....Addressing Online Hostility in Australian Digital Cultures. This project aims to provide a comprehensive account of Australians’ experiences of online hostility, abuse, trolling and extremist hate speech, which have increased over the past decade. The research expects to analyse the experiences of diverse Australian online users, moderators and stakeholders, to determine their practices, attitudes, and innovations, and their perceptions on how to address this social problem. Expected outcomes of this project include enhanced understanding of the support needs and remedies to online hostility among a diverse cross-section of Australians. This will provide significant benefits by providing roadmaps for improved intervention, support, regulation and education on digital communication in Australia.Read moreRead less
Mapping & Harnessing Public Mistrust: Constitutional Values Survey 2023-27. Declining public trust is well recognised as a problem of democratic government, including in Australia. However solutions are more elusive, confounded by the reality that mistrust and distrust play not just negative, but positive roles in our existing political and constitutional traditions. This project aims to be the first to comprehensively map the positive values of mistrust in citizen political attitudes and experi ....Mapping & Harnessing Public Mistrust: Constitutional Values Survey 2023-27. Declining public trust is well recognised as a problem of democratic government, including in Australia. However solutions are more elusive, confounded by the reality that mistrust and distrust play not just negative, but positive roles in our existing political and constitutional traditions. This project aims to be the first to comprehensively map the positive values of mistrust in citizen political attitudes and experience, building on previous Constitutional Values Surveys (2008-21) to test new measures of the content of trust including a first-ever longitudinal study of changing trust over time. The results will inform concrete solutions to three key policy reform dilemmas, providing better answers for sustaining public trust overall.
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BigPrivacy: Scaling privacy preservation for big data applications on cloud. This project aims to research scalable privacy preservation for big data applications on cloud. Privacy preservation is a major concern for big data applications on cloud, such as health data analysis where user privacy must be preserved. Scalable solutions can preserve privacy so that data analysis such as health diagnosis can be performed quickly. The expected deliverable is a unified scalable privacy preservation fra ....BigPrivacy: Scaling privacy preservation for big data applications on cloud. This project aims to research scalable privacy preservation for big data applications on cloud. Privacy preservation is a major concern for big data applications on cloud, such as health data analysis where user privacy must be preserved. Scalable solutions can preserve privacy so that data analysis such as health diagnosis can be performed quickly. The expected deliverable is a unified scalable privacy preservation framework with associated algorithms and its prototype, which cloud systems can deploy for big data applications.Read moreRead less
The new screen ecology and innovation in production and distribution. The project aims to explore new models of online and screen content creation. Major United States information technology corporations are challenging Hollywood and television networks and are likely to come to dominate new screen services into the future. This project focuses on the most challenging and potentially disruptive and innovative forms of production and distribution this new screen ecology is taking. Processes of pr ....The new screen ecology and innovation in production and distribution. The project aims to explore new models of online and screen content creation. Major United States information technology corporations are challenging Hollywood and television networks and are likely to come to dominate new screen services into the future. This project focuses on the most challenging and potentially disruptive and innovative forms of production and distribution this new screen ecology is taking. Processes of professionalisation and monetisation of previously amateur content creation are underpinning an explosive growth of a lower-budget, more diverse and structurally innovative tier of advertising- and sponsor-supported online content. Centred on strategies of platforms such as YouTube, but international in scope, the project aims to contribute to innovation in Australian screen production and distribution.Read moreRead less
Mathematical modelling of information flow in social networks. This proposal aims to develop new mathematical and statistical methods to understand information flow in social networks. By using novel information theoretic techniques, it will create new methods to characterise social information flow in social networks. These tools will allow derivation of fundamental limits of predictability for AI methods applied to digital data. New mathematics of information flow will produce insights into so ....Mathematical modelling of information flow in social networks. This proposal aims to develop new mathematical and statistical methods to understand information flow in social networks. By using novel information theoretic techniques, it will create new methods to characterise social information flow in social networks. These tools will allow derivation of fundamental limits of predictability for AI methods applied to digital data. New mathematics of information flow will produce insights into social influence in online social networks. Benefits include: better understanding of how echo chambers may form in social networks, predictive models for how misinformation can spread online such as during an emergency, and a framework for intercomparison of AI methods applied to digital data on individuals. Read moreRead less
Diversifying audio description in the Australian digital landscape. Audio description (AD) is a track of narration describing important visual elements of visual media to make it accessible to people who are blind or vision impaired. It is also increasingly being used by the mainstream audience. This project aims to examine the consumption and production of Audio Description throughout Australian cultural life. It expects to generate new knowledge about the ways digital media including emerging ....Diversifying audio description in the Australian digital landscape. Audio description (AD) is a track of narration describing important visual elements of visual media to make it accessible to people who are blind or vision impaired. It is also increasingly being used by the mainstream audience. This project aims to examine the consumption and production of Audio Description throughout Australian cultural life. It expects to generate new knowledge about the ways digital media including emerging generative artificial intelligence might be leveraged to increase access to audio description. Expected outcomes include a curriculum, guidelines and materials designed to empower industries, communities and governments to work together to meet Australia's obligation to provide access to cultural activities using AD.Read moreRead less