Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 18, issue 15
Articles | Volume 18, issue 15
https://doi.org/10.5194/gmd-18-4983-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-18-4983-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 15
Model description paper
 | 
15 Aug 2025
Model description paper |  | 15 Aug 2025

InsNet-CRAFTY v1.0: integrating institutional network dynamics powered by large language models with land use change simulation

Yongchao Zeng, Calum Brown, Mohamed Byari, Joanna Raymond, Thomas Schmitt, and Mark Rounsevell

Viewed

Total article views: 3,354 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,747 517 90 3,354 84 132
  • HTML: 2,747
  • PDF: 517
  • XML: 90
  • Total: 3,354
  • BibTeX: 84
  • EndNote: 132
Views and downloads (calculated since 21 Oct 2024)
Cumulative views and downloads (calculated since 21 Oct 2024)

Viewed (geographical distribution)

Total article views: 3,354 (including HTML, PDF, and XML) Thereof 3,353 with geography defined and 1 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 01 Apr 2026
Download
Short summary
Understanding environmental policy interventions is challenging due to complex institutional actor interactions. Large language models (LLMs) offer new solutions by mimicking the actors. We present InsNet-CRAFTY v1.0, a multi-LLM-agent model coupled with a land system model, simulating competing policy priorities. The model shows how LLM agents can simulate decision-making in institutional networks, highlighting both their potential and limitations in advancing land system modelling.
Read more
Share