{"links":{"self":"http://dataportal.arc.gov.au/NCGP/API/grants/FT250100072"},"data":{"type":"grant-details","id":"FT250100072","attributes":{"code":"FT250100072","administering-organisation":"The University of Queensland","announcement-administering-organisation":"The University of Queensland","scheme-name":"ARC Future Fellowships","grant-status":"Active","funding-commencement-year":2025,"years-funded":4,"project-start-date":"2026-06-01","anticipated-end-date":"2031-05-31","grant-summary":"Enabling evidence-based migration policy for the 21st century. The project aims to develop a new model to anticipate the short and long-term impacts of shifts in migration policy on the size and location of the Australian population, the composition of its labour force and the demand for housing. Using state-of-the-art microsimulation with novel administrative microdata linked to visa and citizenship status, the project is expected to set new standards in population projections and to provide a critically needed foundation for forward-looking evidence-based policy to help optimise the immigration intake and strategically plan for population ageing, labour force needs and future housing demand, with expected benefits at both the national and regional levels.","funding-current":1155856.00,"funding-at-announcement":1131404,"investigators-current":[{"title":"Dr","firstName":"Aude","familyName":"Bernard","roleName":"Future Fellowship","roleCode":"FT","isFellowship":true,"orcidIdentifier":null}],"investigators-at-announcement":[{"title":"Dr","firstName":"Aude","familyName":"Bernard","roleName":"Future Fellowship","roleCode":"FT","isFellowship":true,"orcidIdentifier":null}],"organisations-current":[{"organisationName":"The University of Queensland","roleName":"Administering Organisation","state":"QLD"}],"organisations-at-announcement":[{"organisationName":"The University of Queensland","roleName":"Administering Organisation","state":"QLD"}],"field-of-research":[{"isPrimary":true,"code":"4403","name":"Demography","type":"FOR20"},{"isPrimary":false,"code":"440303","name":"Migration","type":"FOR20"},{"isPrimary":false,"code":"440305","name":"Population Trends and Policies","type":"FOR20"}],"socio-economic-objective":[{"code":"280123","name":"Expanding Knowledge In Human Society","type":"SEO20"}],"international-collaboration":["Austria","England"],"lief-register":[],"achievement-summary":null,"national-interest-test-statement":"Anticipating the consequences of changes in migration policy is essential to maximise the benefits of migration. However, existing population projection models do not have migration policy testing capabilities because they do not consider visa status. This project addresses this critical need by developing a new decision-support tool, the first to include visa status and visa transitions, to project the future size, location and composition of the Australian population by key characteristics. Using ‘what-if’ scenarios, it will test four migration policy levers – volume, composition, visa conditions and labour market integration – and assess trade-offs with other policy interventions such as educational expansion and increased labour force participation. Providing a flexible tool to anticipate the consequences of policy decisions to successfully plan for a growing and ageing population under different migration scenarios has the potential to radically transform policymaking. Collaboration with three federal departments and agencies will facilitate the translation of research findings into policy to support the ongoing reform of the migration system. Economic benefits include improving projection reliability by considering migrant diversity, thus limiting the costs of over or under-forecasting future population needs, including demand for housing. Dissemination via an online simulator will help debunk migration myths, facilitate an informed debate and foster social cohesion."}}}