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arXiv · 2301.10023

Discovering Transition Pathways Towards Coviability with Machine Learning

Laure Berti-Equille·Rafael L. G. Raimundo
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Abstract

Coviability refers to the multiple socio-ecological arrangements and governance structures under which humans and nature can coexist in functional, fair, and persistent ways. Transitioning to a coviable state in environmentally degraded and socially vulnerable territories is challenging. This paper presents an ongoing French-Brazilian joint research project combining machine learning, agroecology, and social sciences to discover coviability pathways that can be adopted and implemented by local populations in the North-East region of Brazil.

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Laure Berti-Equille, Rafael L. G. Raimundo. 2023-01-06. Discovering Transition Pathways Towards Coviability with Machine Learning. https://arxiv.org/abs/2301.10023

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