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Martine Barons

As seen in: MDPI, SIAM News
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Articles

Reporting Standards for Bayesian Network Modelling

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By Martine Barons, Anca M. Hanea, Steven Mascaro, Owen Woodberry
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Decision Support Systems to Enhance Food Security in the U.K.

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By Martine Barons
| SIAM News Verified
Data-driven decision support systems help governing bodies, business leaders, and other policymakers compare the likely outcomes of different combinations of actions. Such support is particularly valuable in dynamic systems that incorporate a lot of uncertainty. Uncertainty stems from the limits of our knowledge of the external world, the modeling and analysis process, or internal doubt, and generally pertains to an inability to answer questions in a precise manner.
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A Decision Support System for Sustainable Agriculture and Food Loss Reduction under Uncertain Agricultural Policy Frameworks

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By Martine Barons, Lael E Walsh, Linda Olivia Nichols, Edward E. Salakpi
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Open in Who Shared Issue with article?
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