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Hybrid Human Policy Modeling: Enhancing Decision-Making using Social Simulations

Lorig, Fabian ; Fabris, Bertilla and Tucker, Jason Edward LU (2025) HHAI 2025: The 4th International Conference Series on Hybrid Human-Artificial Intelligence. June 9-13, 2025 (Pisa, Italy)
Abstract
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... (More)
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. (Less)
Please use this url to cite or link to this publication:
author
; and
publishing date
type
Contribution to conference
publication status
in press
subject
keywords
Hybrid-Human Policy Collaboration,, gent-based Social Simulation, Healthcare, Human-Centered AI
pages
3 pages
conference name
HHAI 2025: The 4th International Conference Series on Hybrid Human-Artificial Intelligence. June 9-13, 2025 (Pisa, Italy)
conference location
Pisa, Italy
conference dates
2025-06-09 - 2025-06-13
project
Politics of AI & Health: From Snake Oil to Social Good - Funded by Wallenberg AI, Autonomous Systems and Software Program – Humanity and Society (WASP-HS)
Agent Based Social Simulation of Organ Donation Policies - Funded by Crafoordska Stiftelsen
language
English
LU publication?
no
id
46b4ef86-abe0-4a8e-9aba-3699075df55f
date added to LUP
2025-06-19 11:17:10
date last changed
2025-06-26 14:03:44
@misc{46b4ef86-abe0-4a8e-9aba-3699075df55f,
  abstract     = {{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.}},
  author       = {{Lorig, Fabian and Fabris, Bertilla and Tucker, Jason Edward}},
  keywords     = {{Hybrid-Human Policy Collaboration,; gent-based Social Simulation; Healthcare; Human-Centered AI}},
  language     = {{eng}},
  title        = {{Hybrid Human Policy Modeling: Enhancing Decision-Making using Social Simulations}},
  url          = {{https://lup.lub.lu.se/search/files/221700895/HHAI2025_Poster_Healthcare_Policy_Modeling.pdf}},
  year         = {{2025}},
}