We are delighted to announce a special track on “Integrating Large-Language Models and Geospatial Foundation Models to Enhance Spatial Reasoning in ABMs” as part of the Social Simulation Conference 2025, 25th to 29th August 2025 at Delft University of Technology, the Netherlands. Full conference details can be found at the end of this email.
Recent developments in the use of large language models (LLMs) offer exciting opportunities to control agent behaviour in potentially more realistic and nuanced ways than has previously been possible. However, an LLM-backed agent can only interface with their surroundings through text prompts, which is severely limiting. The integration of large language models (LLMs) and geospatial foundation models (GFMs) presents an exciting opportunity to use AI techniques to advance agent-based modelling for spatial applications, potentially allowing for agents with more comprehensive behavioural realism, as well as an improved perception of their environment.
This special track invites papers that explore how AI techniques, such as LLMs and GFMs, can enrich spatial agent based models, raising new questions about their feasibility in modelling human behaviour, in comparison to conventional approaches. There are huge challenges around computational efficiency, sustainability, bias, model validation, and integration frameworks, and we welcome papers that consider these issues as well.
Paper submission deadlines and details: https://ssc2025.tbm.tudelft.nl/important-dates/
- Long paper (10-12 pages, excluding references – long oral presentations, will be included in the post-proceedings)
- Short paper (6-9 pages, excluding references – short oral presentations, will be included in the post-proceedings)
- Extended abstract (3-4 pages, excluding references – short oral presentations, will not be included in the post-proceedings)
- Nick Malleson, University of Leeds, UK
- Alison Heppenstall, University of Glasgow, UK
- Ed Manley, University of Leeds, UK
- Andrew Crooks, University of Buffalo, US
Please feel free to get in touch with any of us in case of questions.
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