{"links":{"self":"http://dataportal.arc.gov.au/NCGP/API/grants/DE260101493"},"data":{"type":"grant-details","id":"DE260101493","attributes":{"code":"DE260101493","administering-organisation":"University of Technology Sydney","announcement-administering-organisation":"University of Technology Sydney","scheme-name":"Discovery Early Career Researcher Award","grant-status":"Active","funding-commencement-year":2026,"years-funded":3,"project-start-date":"2026-04-01","anticipated-end-date":"2029-03-31","grant-summary":"A Reliable Knowledge Discovery System on Dynamic Academic Graphs. This project develops a reliable knowledge discovery system that analyses dynamic academic data to reveal novel knowledge insights, for example, predicting emerging research topics, novel gene-disease associations, and impactful scientific collaborations. By advancing these techniques, the system focuses on underrepresented knowledge of less frequent but emerging data patterns and instantly detects anomalies that indicate novel or noisy data. Expected outcomes are a hierarchical graph representation model, a robust anomaly detection framework, and a dynamic knowledge discovery system to provide reliable predictive results. Benefits include early access to reliable predictions, supporting informed policymaking and strategic management.","funding-current":526436.00,"funding-at-announcement":522258,"investigators-current":[{"title":"Dr","firstName":"Mengjia","familyName":"Wu","roleName":"Discovery Early Career Researcher Award","roleCode":"DECRA","isFellowship":true,"orcidIdentifier":"0000-0003-3956-7808 "}],"investigators-at-announcement":[{"title":"Dr","firstName":"Mengjia","familyName":"Wu","roleName":"Discovery Early Career Researcher Award","roleCode":"DECRA","isFellowship":true,"orcidIdentifier":"0000-0003-3956-7808 "}],"organisations-current":[{"organisationName":"University of Technology Sydney","roleName":"Administering Organisation","state":"NSW"}],"organisations-at-announcement":[{"organisationName":"University of Technology Sydney","roleName":"Administering Organisation","state":"NSW"}],"field-of-research":[{"isPrimary":true,"code":"4610","name":"Library and Information Studies","type":"FOR20"},{"isPrimary":false,"code":"461003","name":"Human Information Interaction and Retrieval","type":"FOR20"},{"isPrimary":false,"code":"461005","name":"Informetrics","type":"FOR20"}],"socio-economic-objective":[{"code":"150306","name":"Technological and Organisational Innovation","type":"SEO20"},{"code":"220302","name":"Electronic Information Storage and Retrieval Services","type":"SEO20"},{"code":"220408","name":"Information Systems","type":"SEO20"}],"international-collaboration":["England","United States of America"],"lief-register":[],"achievement-summary":null,"national-interest-test-statement":"This project will create a reliable, AI-powered system that overcomes biases and data noise, hence identifying new insights from dynamic academic data. It addresses a critical gap in Australia’s ability to build a secure, resilient national knowledge base by dynamically detecting emerging trends and novel findings, which are underrepresented in the current knowledge system. The developed system will benefit Australia.  For example, it can highlight fast-growing research areas in biotechnology, advanced manufacturing, and renewable energy, guiding local companies to invest strategically and gain a competitive edge. By detecting novel links - such as new gene-disease relationships - it can also help Australian biotech firms and research institutions pioneer fresh treatments and diagnostic tools. Government agencies can also use this foresight to shape evidence-based policies that boost industry development, create jobs, and strengthen national competitiveness. To maximise impact beyond academia, the project team will collaborate closely with industry partners, ensuring results are translated into practical applications. Project findings will be shared through public workshops and roadshows, giving local communities and businesses clear insights into how they can adopt and benefit from these breakthroughs. This project will help Australia remain at the forefront of cutting-edge research."}}}