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Social simulation modelling within landscape systems

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Agent-based social simulation entails the explicit, individual representation of various actors within the landscape, and the ways they affect each other. It offers a natural and powerful way to model human social systems and integrate with spatially-explicit biophysical and ecological models. In this talk, I will present an example from my own work with Alessandro Gimona and Nick Gotts (The James Hutton Institute) and Andrew Jarvis (Lancaster Environment Centre) on simulating the incentivization of biodiversity in agriculture. The talk will briefly cover some of the risks associated with coupling models to simulate landscape systems, emphasizing the importance of semantic interoperability.

This talk is part of the Isaac Newton Institute Seminar Series series.

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