EGU25-10274, updated on 15 Mar 2025
https://doi.org/10.5194/egusphere-egu25-10274
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Using agent-based models and EXplainable Artificial Intelligence (XAI) to simulate social behaviors and policy intervention scenarios: A case study of private well users in Ireland
Rabia Asghar1,3, Simon Mooney2, Eoin O’Neill2, and Paul Hynds1,3
Rabia Asghar et al.
  • 1Sustainability and Health Research Hub, Technological University (TU), Dublin, Ireland. (Rabia.Asghar@tudublin.ie) ,(Paul.Hynds@tudublin.ie)
  • 2School of Architecture, Planning and Environmental Policy, University College Dublin (UCD), Dublin, Ireland. (simon.mooney1@ucd.ie) ,(eoin.oneill@ucd.ie)
  • 3Spatiotemporal Environmental Epidemiology Research (STEER) Group, Technological University (TU), Dublin, Ireland. (Rabia.Asghar@tudublin.ie), (Paul.Hynds@tudublin.ie)

How to cite: Asghar, R., Mooney, S., O’Neill, E., and Hynds, P.: Using agent-based models and EXplainable Artificial Intelligence (XAI) to simulate social behaviors and policy intervention scenarios: A case study of private well users in Ireland, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-10274, https://doi.org/10.5194/egusphere-egu25-10274, 2025.

This abstract has been withdrawn on 25 Jul 2025.