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Complexity and uncertainty in future food system transformation modelling

Abstract

Food systems face multi-dimensional pressures and require integrated assessments of environmental, social, health and economic dimensions to inform their transformation. Although economic equilibrium models and integrated assessment models have been instrumental in this context, future decision-making requires more diverse and inclusive participatory processes. Here we evaluate the ability of current models to represent food systems and identify challenges and opportunities regarding key aspects of their transformative change, including socio-political dynamics and human–nature feedbacks, links between global and local scales, robustness under uncertainty, as well as evolving stakeholder demands. Our analysis underscores the need to rethink how models are designed and used for a more effective integration into decision-making processes.

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Fig. 1: Model-specific ability to represent various dimensions at different levels of inclusion.
Fig. 2: Types of coupling between different modelling frameworks.

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Acknowledgements

We thank S. Boylan (CSIRO, Australia), D. Mayberry (CSIRO, Australia) and K. Chowdhury (University of Maryland, USA) for their valuable feedback and reading of the paper before submission.

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E.A.M. and A.C.C. conceptualized the study and methodology. A.C.C., E.A.M., D.M.-D., M.H., W.B. and D.N. conducted the investigation. E.A.M., A.C.C., R.N., M.H., B.A.B., M.B., W.B., C.A., S.E. and J.N.-G. wrote the original draft of the paper. All authors contributed and approved the final version of the paper.

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Correspondence to Enayat A. Moallemi or Adam C. Castonguay.

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Moallemi, E.A., Castonguay, A.C., Mason-D’Croz, D. et al. Complexity and uncertainty in future food system transformation modelling. Nat Food 6, 1008–1019 (2025). https://doi.org/10.1038/s43016-025-01257-1

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