120 Reports on the Context Analysis (including inventory of 120 context profiles)

This document is part of T3.2 (Conducting Context Analysis improving transferability & spreading of best practices) within the Grazing4Agroecology project. It presents the outcomes of the Context Analysis, which includes an inventory of 121 context profiles showcasing innovative practices implemented by grazing-based farming systems in an agroecological perspective. Building on the methodological framework outlined in Deliverable D3.8, which provides guidelines for conducting a context analysis, this task was carried out between the project months 3 and 32. Context Analysis is a process that combines best practices with scientific knowledge to enhance thetransferability and adoption of innovations, thus providing a tool making the dissemination and application of innovations more efficient. An innovation will only be an innovation and have a positive impact where it fits. We believe that innovations and new ideas should be evaluated to narrow to environments in which they might be applied. This would greatly increase the effectiveness and efficiency of the process. The Context Analysis is meant to provide a link between the innovator and the wider farming community. In order to make things work there should be a certain degree of identity between the sender and potential receivers9. In this sense, the sender is the innovation in the context of origin and the receiving end is the environment which is supposed to be improved through implementing this innovation. The degree of identity is what must be assessed to allow for a successful transfer.The Context Analysis serves as a bridge between local innovation and broader application. By combining practice-based knowledge with scientific evaluation, the aim is to identify and refine innovations that can be adapted and transferred across different European regions. This approach supports more effective dissemination and adoption by highlighting the conditions under which specific practices are most likely to succeed. The goal is to transform locally grounded insights into transferable knowledge, offering a valuable tool for farmers and other stakeholder categories seeking to apply different innovations in varied contexts across Europe.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-24
DOI
https://doi.org/10.5281/zenodo.15878282
Primary Topic
Sustainable Agricultural Systems Analysis
Type
article
Field-Weighted Citation Impact
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article

120 Reports on the Context Analysis (including inventory of 120 context profiles)

Zenodo (CERN European Organization for Nuclear Research)
Sustainable Agricultural Systems Analysis
article

120 Reports on the Context Analysis (including inventory of 120 context profiles)

article en

Abstract

This document is part of T3.2 (Conducting Context Analysis improving transferability & spreading of best practices) within the Grazing4Agroecology project. It presents the outcomes of the Context Analysis, which includes an inventory of 121 context profiles showcasing innovative practices implemented by grazing-based farming systems in an agroecological perspective. Building on the methodological framework outlined in Deliverable D3.8, which provides guidelines for conducting a context analysis, this task was carried out between the project months 3 and 32. Context Analysis is a process that combines best practices with scientific knowledge to enhance thetransferability and adoption of innovations, thus providing a tool making the dissemination and application of innovations more efficient. An innovation will only be an innovation and have a positive impact where it fits. We believe that innovations and new ideas should be evaluated to narrow to environments in which they might be applied. This would greatly increase the effectiveness and efficiency of the process. The Context Analysis is meant to provide a link between the innovator and the wider farming community. In order to make things work there should be a certain degree of identity between the sender and potential receivers9. In this sense, the sender is the innovation in the context of origin and the receiving end is the environment which is supposed to be improved through implementing this innovation. The degree of identity is what must be assessed to allow for a successful transfer.The Context Analysis serves as a bridge between local innovation and broader application. By combining practice-based knowledge with scientific evaluation, the aim is to identify and refine innovations that can be adapted and transferred across different European regions. This approach supports more effective dissemination and adoption by highlighting the conditions under which specific practices are most likely to succeed. The goal is to transform locally grounded insights into transferable knowledge, offering a valuable tool for farmers and other stakeholder categories seeking to apply different innovations in varied contexts across Europe.

Zenodo (CERN European Organization for Nuclear Research)
University of Agricultural Sciences and Veterinary Medicine of Cluj-Napoca (RO), University College Cork (IE), Swedish University of Agricultural Sciences (SE), Institut de l’Elevage (FR), Innovation Cluster (Canada) (CA), Intelligent Transport Systems Niedersachsen (DE), University of Göttingen (DE)
Industry, innovation and infrastructure
Openalex Percentile: Top 57%
Sustainable Agricultural Systems Analysis
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