The Mixteca Datasecape, pilar of a learning landscape, towards sustainable agrifood systems
The Mixteca Learning Landscape (MLL) is a transdisciplinary initiative designed to catalyze sustainable transformation in the agrifood systems of the Mixteca Region of Oaxaca, Mexico. This region faces acute environmental degradation, extreme poverty, and outmigration—challenges best understood as wicked problems requiring systemic and inclusive solutions.
The MLL proposes a dynamic learning and collaboration platform that integrates scientific knowledge, local practices, and innovation networks to co-develop and scale socio-technical solutions from the field to the landscape level.
Structured around three interconnected “landscapes”—Actors, Partnerships, and Data—the MLL seeks to: (1) empower local stakeholders to define and co-create solutions; (2) build robust science–practice–policy coalitions for sustainable innovation; and (3) establish an open data ecosystem to support analysis, learning, and impact tracking.
The ultimate goal is to generate coherent, context-specific pathways to resilient and equitable agrifood systems while serving as a replicable model for other regions facing similar complex challenges.
Get data right now!
You can easily access to available information afther request or direct download agreement if available. Information has been deidentified for personal data protection. Echa dataset was fixed to be ready-to-use. Please, explore the Mixteca Datascape repocitory.
Relevant publications
Derived form some research datasets, relevant publications have been released to public. You can find a quick compilation of articles, reports and other documents ready to be consulted.
Newsletter
CopSys is a Community of Practice on systems science for Sustainable agrifood future, avocated to gather worldwide expertise for complex problems in targeted areas.
The Mixtecan Landscape operates as study case for this project.
Past 2024 July 12-14 was conducted at Oaxaca City the workshop “Mixteca: learning landscape”, with the participation of researchers and stakeholders of State Goverment. In this workshop was presented the concept of “learning landscape”, and how it’s possible to generate a open-access space for acedemics, practicioners, students, farmers and stakeholders to past investigations conducted on Mixtecan region.
Current datasets are part of the continuos collaboration and trust network between researchers across research institutions, putting together the experiences and work performed across Mixtecan region in agriculture, enviroment and rural developent. This information belongs to the farmers who originally provided it, and the society whom support their production.