# Discovering Transition Pathways Towards Coviability with Machine Learning

arXiv: https://arxiv.org/abs/2301.10023 · HTML: https://mlsanity.com/paper/2301.10023/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 0 of its 11 references that are in the map.
- First posted on arXiv 6 Jan 2023.

## Abstract (arXiv)

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.
