Over time, SIMPLE has evolved from a model for use in the classroom into a vehicle for undertaking research into a wide range of sustainability challenges facing the world. These SIMPLE models have been adopted by both economists and non-economists for interdisciplinary research. By keeping the core economic model simple, the researchers have focused on the most important elements of the economic, environmental, and agricultural systems. This framework is also the foundation of new emerging models developed for understanding of sustainability and food security in a changing world. SIMPLE applications have contributed to the sustainability literature through studying the forces that affect the decisions about water use, land use, food production, food trade, food consumption, and diets. Recently, SIMPLE has been extended to allow for economic analysis at the level of individual grid cells. The ensuing versions of the SIMPLE family of models is dubbed "SIMPLE-G".
Researching the challenges of sustainability requires the convergence of multi-discipline studies. However, to provide a platform for researchers from different fields to exchange ideas, data and findings itself is one of the major challenges we face today, in particular for researchers from both natural science and social science aspects.
The SIMPLE framework has shown the potential to contribute to the convergence of research from natural and social sciences. Researchers from environment, geography, ecology, and climate science fields would find their data and results can be easily connected with the database and applications of SIMPLE, in order to evaluate the socio-economic impacts from natural shocks and further adds to their findings and implications. And the simplified structure of SIMPLE makes it very easy to understand and use for researchers without advanced training in economics. On the other hand, researchers from social science (in particular economists) would find SIMPLE as a natural extension of equilibrium-based structural models, but already equipped with the rich-information database and grid-resolving feature that allow them to easily conduct simulations to test economic theories, track impacts at local level, and communicate with colleagues from multi-discipline fields or more general stakeholders.
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Liu, J., Bowling, L., Kucharik, C., Jame, S., Baldos, U., Jarvis, L., Ramankutty, N., & Hertel, T. (2023). Tackling policy leakage and targeting hotspots could be key to addressing the ‘Wicked’challenge of nutrient pollution from corn production in the US. Environmental Research Letters, 18(10), https://doi.org/10.1088/1748-9326/acf727.
Johnson, D. R., Geldner, N. B., Liu, J., Baldos, U. L., & Hertel, T. (2023). Reducing US biofuels requirements mitigates short-term impacts of global population and income growth on agricultural environmental outcomes. Energy Policy, 175, https://doi.org/10.1016/j.enpol.2023.113497.
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Haqiqi, I., Perry, C. J., & Hertel, T. W. (2022). When the virtual water runs out: Local and global responses to addressing unsustainable groundwater consumption. Water International, 47(7), 1060–1084. https://doi.org/10.1080/02508060.2023.2131272
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Hertel, T. W., Ramankutty, N., & Baldos, U. L. C. (2014). Global market integration increases likelihood that a future African Green Revolution could increase crop land use and CO 2 emissions. Proceedings of the National Academy of Sciences, 111(38), 13799–13804. https://doi.org/10.1073/pnas.1403543111
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