AI-driven Effective Query Formulation for Better Systematic Reviews. This project aims to develop novel AI-based search engine methods to make the creation of systematic reviews cheaper, faster and unbiased. Systematic reviews are the cornerstone for evidence-based decisions in clinical practice and government policy making. Given the pace new research is published at, it is unsustainable to manually conduct systematic reviews in the traditional manner, taking on average 2 years and $350K and be ....AI-driven Effective Query Formulation for Better Systematic Reviews. This project aims to develop novel AI-based search engine methods to make the creation of systematic reviews cheaper, faster and unbiased. Systematic reviews are the cornerstone for evidence-based decisions in clinical practice and government policy making. Given the pace new research is published at, it is unsustainable to manually conduct systematic reviews in the traditional manner, taking on average 2 years and $350K and becoming already outdated when published. The outcomes of this project will lead to systematic reviews of higher quality, while reducing their financial and temporal costs, providing significant benefits to organisations performing reviews and their funders, and to people impacted by decisions made from the reviews.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE180101579
Funder
Australian Research Council
Funding Amount
$346,446.00
Summary
Searching when the stakes are high: better health decisions from search engines. This project aims to help people make better health decisions from search engines by improving the information that search queries return. Google is utilised by 80 per cent of Australians to search health symptoms, despite evidence showing that many often find incorrect and unreliable health information. This project expects to provide new understanding about why and how people fail to find useful health information ....Searching when the stakes are high: better health decisions from search engines. This project aims to help people make better health decisions from search engines by improving the information that search queries return. Google is utilised by 80 per cent of Australians to search health symptoms, despite evidence showing that many often find incorrect and unreliable health information. This project expects to provide new understanding about why and how people fail to find useful health information. Expected outcomes of this project include new models and methods for evaluating high-stakes search and new search technologies to help people find and recognise high quality information to make better health decisions. This should provide significant benefits to Australian health consumers and the healthcare system.Read moreRead less
QualA-D: a quality aware query engine for next generation data integration systems. This project will address the growing diversity of the web/user community by developing new approaches for data integration that incorporate data quality requirements such as data currency, completeness and coverage. First-of-breed quality aware query system is expected to be developed that will assist in improving user experience and satisfaction.
THE UNWRITTEN HISTORY OF AUSTRALIAN MODERNISM. Most histories treat modernism in Australia as a phenomenon of ?fine art,? or simply painting. This project will instead reveal modernism's highly public impact across a range of media (design, photography, advertising, architecture and art). This new history will better explain how modernist visual idioms became ubiquitous in everyday contemporary design and our built environment after their initial, often hostile reception. The project will provid ....THE UNWRITTEN HISTORY OF AUSTRALIAN MODERNISM. Most histories treat modernism in Australia as a phenomenon of ?fine art,? or simply painting. This project will instead reveal modernism's highly public impact across a range of media (design, photography, advertising, architecture and art). This new history will better explain how modernist visual idioms became ubiquitous in everyday contemporary design and our built environment after their initial, often hostile reception. The project will provide an integrated research analysis of the extensive, but disparate, archives on Australian modernism. It will communicate its research findings through a new scholarly study, a major large-scale travelling public exhibition, a CD, and a website.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE230101233
Funder
Australian Research Council
Funding Amount
$454,386.00
Summary
Addressing the Crisis of Local Visual News in Regional and Remote Australia. This project aims to measure the volume and quality of visual content on regional news platforms by diverse publishers in eight key geographic areas. It is the first in Australia to examine the full cycle from production through presentation to consumption for local visual news in a regional context. Expected project outcomes include enhanced relationships between journalists and communities, stronger regional news ecos ....Addressing the Crisis of Local Visual News in Regional and Remote Australia. This project aims to measure the volume and quality of visual content on regional news platforms by diverse publishers in eight key geographic areas. It is the first in Australia to examine the full cycle from production through presentation to consumption for local visual news in a regional context. Expected project outcomes include enhanced relationships between journalists and communities, stronger regional news ecosystems, and a more representative local visual news product. These outcomes boost the academic understanding of an understudied area, help regional Australia, including regional Indigenous Australia, see itself in the journalism that is produced in the regions, and provide commercial benefits to hard-hit news providers.Read moreRead less
Through the Lens: A Cultural Study of Women's Fashion Photography in Australia, 1890 to 2000. This study supports growing academic interests in Australian fashion and provides the nascent fashion industry, and the media, with a cultural and historical context for their current practices. It sets up debate and expands available information about local fashion photography, challenging the assumption that it is solely dependent on overseas ideas and practices. It has the further potential to export ....Through the Lens: A Cultural Study of Women's Fashion Photography in Australia, 1890 to 2000. This study supports growing academic interests in Australian fashion and provides the nascent fashion industry, and the media, with a cultural and historical context for their current practices. It sets up debate and expands available information about local fashion photography, challenging the assumption that it is solely dependent on overseas ideas and practices. It has the further potential to export understandings of Australian fashion and its photographic representation, including its creative and aesthetic aspects, and by implication will assist the fashion industry, and the public, develop understanding of its workings.Read moreRead less
Scalable Cross-Media Hashing for Searching Heterogeneous Data Sources. This project aims to use novel indexing and search approaches to realise the value of multimedia data. The ever-increasing availability and heterogeneity of multimedia data are calling for new approaches to search information across different media types and data sources. This project aims to enable accurate and real-time cross-media searches from billions of multimedia objects collected from various media sources by tackling ....Scalable Cross-Media Hashing for Searching Heterogeneous Data Sources. This project aims to use novel indexing and search approaches to realise the value of multimedia data. The ever-increasing availability and heterogeneity of multimedia data are calling for new approaches to search information across different media types and data sources. This project aims to enable accurate and real-time cross-media searches from billions of multimedia objects collected from various media sources by tackling the heterogeneity and scalability issues. Expected outcomes include scalable cross-media hashing techniques to capture implicit correlations existing in heterogeneous data and embed high-dimensional features into short binary codes; new binary code indexing and ranking schemes to further improve search speed and quality; and a large-scale cross-media system to evaluate methods and demonstrate the practical value.Read moreRead less
Realising the value of mobile videos with context awareness. Innovative approaches to analysing online video content and context will lead to new ways of interacting with video in the mobile world. This project will aim to develop real-time mobile systems for enabling rich and highly dynamic digital video experiences through context-aware indexing, retrieval and consumption of mobile videos.
An integrative and distributed data management and workflow framework for e-research in biomedical imaging. This project will develop new tools for neuroimaging research: (i) efficient distributed infrastructure and workflow capabilities and (ii) semantic tools using existing ontological frameworks and specific neuroimaging ontologies.
These new capabilities will significantly enhance the productivity of neuroimaging research.
Discovery Early Career Researcher Award - Grant ID: DE230101116
Funder
Australian Research Council
Funding Amount
$420,000.00
Summary
Detecting Key Concepts from Low-Quality Data for Better Decision. The project aims to develop data analytics techniques that aid better decision making in high-stake scenarios when data are less-trustable. While data-aided decision making has been widely used, less-trustable data may significantly distort the decisions made and hurt people impacted by these decisions. The outcome of this project expects to be a series of techniques covering data understanding and enhancement, model development a ....Detecting Key Concepts from Low-Quality Data for Better Decision. The project aims to develop data analytics techniques that aid better decision making in high-stake scenarios when data are less-trustable. While data-aided decision making has been widely used, less-trustable data may significantly distort the decisions made and hurt people impacted by these decisions. The outcome of this project expects to be a series of techniques covering data understanding and enhancement, model development and fitting, and novelty detection, to reduce the damage of less-trustable data. The research expects to benefit the people and companies impacted by data-aided decision making in cybersecurity, healthcare and financial fraud detection, providing risk-control services.Read moreRead less