{"links":{"self":"http://dataportal.arc.gov.au/NCGP/API/grants/DE260100673"},"data":{"type":"grant-details","id":"DE260100673","attributes":{"code":"DE260100673","administering-organisation":"Griffith University","announcement-administering-organisation":"Griffith University","scheme-name":"Discovery Early Career Researcher Award","grant-status":"Active","funding-commencement-year":2026,"years-funded":3,"project-start-date":"2026-08-01","anticipated-end-date":"2029-07-31","grant-summary":"Building Deep Debate Evidence Systems for Youth Crime Policy Reform. This project aims to develop a reliable, equitable, and explainable deep evidence system to contribute to global debates on youth crime policy. This project expects to enhance transparency and fairness, aligned with Australian justice priorities, by mitigating bias and misinformation and ensuring legislative changes are backed by diversified evidence. Expected outcomes include AI-driven recommendations from scientific studies, public discourse, and social media via data engineering and data science. This should provide significant benefits to policymakers and communities promoting fairer justice reforms and strengthening Australia’s leadership in data governance by ensuring policy decisions are based on comprehensive, verifiable evidence.","funding-current":532907.00,"funding-at-announcement":528678,"investigators-current":[{"title":"Dr","firstName":"Thanh Tam","familyName":"Nguyen","roleName":"Discovery Early Career Researcher Award","roleCode":"DECRA","isFellowship":true,"orcidIdentifier":"0000-0002-2586-7757 "}],"investigators-at-announcement":[{"title":"Dr","firstName":"Thanh Tam","familyName":"Nguyen","roleName":"Discovery Early Career Researcher Award","roleCode":"DECRA","isFellowship":true,"orcidIdentifier":"0000-0002-2586-7757 "}],"organisations-current":[{"organisationName":"Griffith University","roleName":"Administering Organisation","state":"QLD"}],"organisations-at-announcement":[{"organisationName":"Griffith University","roleName":"Administering Organisation","state":"QLD"}],"field-of-research":[{"isPrimary":true,"code":"4605","name":"Data Management and Data Science","type":"FOR20"},{"isPrimary":false,"code":"460501","name":"Data Engineering and Data Science","type":"FOR20"},{"isPrimary":false,"code":"460502","name":"Data Mining and Knowledge Discovery","type":"FOR20"},{"isPrimary":false,"code":"460505","name":"Database Systems","type":"FOR20"}],"socio-economic-objective":[{"code":"220302","name":"Electronic Information Storage and Retrieval Services","type":"SEO20"},{"code":"220408","name":"Information Systems","type":"SEO20"},{"code":"280115","name":"Expanding Knowledge In the Information and Computing Sciences","type":"SEO20"}],"international-collaboration":["England","Germany","Switzerland","United States of America"],"lief-register":[],"achievement-summary":null,"national-interest-test-statement":"This project addresses the debate over Australian youth crime policy, which currently focuses on harsh penalties that raise human rights concerns and disproportionately impact vulnerable groups like the Indigenous. Unfortunately, current support systems rely on biased and incomplete evidence, leading to ineffective policies. Thus, this research will develop an AI-driven, explainable, and bias-aware evidence system that extracts diverse and verifiable facts from scientific studies, public discourse, and social media to increase transparency, fairness, and informed decision-making.\nAligned with our national research priorities, this project fosters safer communities and supports equitable policymaking through AI-driven, evidence-based recommendations. Rather than advocating for a specific approach, it objectively examines both punitive and prevention-focused strategies, which could save up to $1.12M annually per person. This work also supports National Reconstruction Fund by using data mining, big data, information retrieval, and recommender systems to develop scalable and cost-effective public policy solutions.\nBuilding on collaborations with Australian Institute of Criminology, Griffith Criminology Institute, and Queensland Police Service, this project will share findings through policy briefs, government reports, public engagement, and a web portal. Additionally, media and law enforcement partnerships will facilitate adoption, driving reforms for safer, fairer communities."}}}