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
Media pluralism and online news. This project aims to chart dramatic developments in the way news is produced and consumed online and to account for this in public policy designed to promote media pluralism. It expects to advance knowledge by testing European approaches regarded in the literature as ‘world’s best’ against a series of innovative news practices, including through a big data approach to collecting media content. Expected outcomes include a shift in public policy reliance on ownersh ....Media pluralism and online news. This project aims to chart dramatic developments in the way news is produced and consumed online and to account for this in public policy designed to promote media pluralism. It expects to advance knowledge by testing European approaches regarded in the literature as ‘world’s best’ against a series of innovative news practices, including through a big data approach to collecting media content. Expected outcomes include a shift in public policy reliance on ownership and control to a more nuanced understanding of diversity based on the role of news and comment. Significant social and economic benefits could result from more targeted regulatory interventions and from greater access to news content and wider engagement with public affairs.Read moreRead less
Digital China: From cultural presence to innovative nation. This project aims to investigate how digital platforms and technologies help Chinese culture and ideas reach the world. While China's global cultural presence has increased, it is not seen as an innovative nation. The project examines how the Chinese government’s internet+ strategy changes power dynamics among political institutions, commercially motivated digital companies and online communities. The project will investigate internatio ....Digital China: From cultural presence to innovative nation. This project aims to investigate how digital platforms and technologies help Chinese culture and ideas reach the world. While China's global cultural presence has increased, it is not seen as an innovative nation. The project examines how the Chinese government’s internet+ strategy changes power dynamics among political institutions, commercially motivated digital companies and online communities. The project will investigate internationalisation strategies and consumption of Chinese culture on digital platforms in China, Australia, Hong Kong, Singapore and South Korea. It expects to understand the implications of China's digital ascendency and the lessons for Australia in the post-resources boom era.Read moreRead less
Moving media: mobile internet and new policy modes. Moving Media' is a comprehensive study of Australian mobile internet, how the infrastructures are evolving, how people use these convergent technologies, and how traditional and new modes of media policy respond. The project will advance our understanding of this vital area of future media, providing evidence to inform better policy and regulation.
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
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
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
Provable elimination of information leakage through timing channels. This project aims to develop techniques to solve the issue in information security of unauthorised information flow resulting from competition for shared hardware resources. The project will combine operating systems design, formal hardware models, information-flow reasoning and theorem proving to achieve a goal that is widely considered infeasible. The project is expected to result in a system that prevents leakage of critical ....Provable elimination of information leakage through timing channels. This project aims to develop techniques to solve the issue in information security of unauthorised information flow resulting from competition for shared hardware resources. The project will combine operating systems design, formal hardware models, information-flow reasoning and theorem proving to achieve a goal that is widely considered infeasible. The project is expected to result in a system that prevents leakage of critical information, such as encryption keys, through timing channels. This should prevent sophisticated attacks on public clouds, mobile devices and military-grade cross-domain devices.Read moreRead less