{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,24]],"date-time":"2025-09-24T00:17:05Z","timestamp":1758673025241,"version":"3.44.0"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643686110","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,9,22]],"date-time":"2025-09-22T00:00:00Z","timestamp":1758499200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,9,22]]},"abstract":"<jats:p>Healthcare policy making is complex, requiring both human expertise and data-driven support. Agent-based Social Simulations (ABSS) provide a powerful tool for testing the potential consequences of healthcare policy interventions in a controlled environment. By integrating computational modeling with expert knowledge, ABSS enable hybrid-human policy collaborations, where simulation results support human decision-making. This approach facilitates policy refinement and scenario analysis through participatory modeling, leading to more adaptive and socially sustainable policies. We argue that ABSS enhances decision-making by complementing simulation-based insights with qualitative expertise, enabling more sustainable and evidence-based healthcare policies.<\/jats:p>","DOI":"10.3233\/faia250675","type":"book-chapter","created":{"date-parts":[[2025,9,23]],"date-time":"2025-09-23T14:38:05Z","timestamp":1758638285000},"source":"Crossref","is-referenced-by-count":0,"title":["Hybrid-Human Policy Modeling: Enhancing Decision-Making Using Social Simulations"],"prefix":"10.3233","author":[{"given":"Fabian","family":"Lorig","sequence":"first","affiliation":[{"name":"Department of Computer Science and Media Technology, Malm\u00f6 University, Sweden"},{"name":"Sustainable Digitalisation Research Centre, Malm\u00f6 University, Sweden"}]},{"given":"Bertilla","family":"Fabris","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Media Technology, Malm\u00f6 University, Sweden"}]},{"given":"Jason","family":"Tucker","sequence":"additional","affiliation":[{"name":"Institute for Futures Studies, Sweden"},{"name":"AI Policy Lab, Department of Computing Science, Ume\u00e5 University, Sweden"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","HHAI 2025"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA250675","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,23]],"date-time":"2025-09-23T14:38:06Z","timestamp":1758638286000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA250675"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,22]]},"ISBN":["9781643686110"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia250675","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,9,22]]}}}