The language of co-creation has become popular with policy makers, researchers and consultants wanting to support evidence-based change. However, there is little agreement about what features a research or consultancy project must have for peers to recognise the project as co-creative, and therefore for it to contribute to the growing body of practice and theory under that heading. This means that scholars and practitioners do not have a shared basis for critical reflection, improving practice and debating ethics, legitimacy and quality.
This editorial paper brings together different streams of research providing novel perspectives on co-design and co-innovation in agriculture, including methods, tools and organizations.
Communities of Practice (CoPs) are a promising concept for transdisciplinary knowledge co-creation in sustainable agricultural development, but empirical evidence from the farmers’ viewpoint is scarce. This paper contributes to empirical insights on the knowledge creation in CoPs as valued by farmers. Using concepts from CoP theory (domain, community, and practice) and the value creation framework (VCF) developed by Wenger et al. (Promoting and assessing value creation in communities and networks: a conceptual framework.
Se describe un estudio de caso, en la Isla de la Juventud, cuyo objetivo fue desarrollar un esquema de arreglo productivo local como forma de gestión eficiente para la mejora del desempeño de los agentes que se articulan. Se tomó como base una metodología con adaptaciones, se describe entre sus componentes; las barreras, esquema de Arreglo Productivo Local, la identificación de innovaciones y el desempeño de
Participatory Impact Pathways Analysis (PIPA) is a practical approach to planning, monitoring and evaluation, developed for use with complex research-for-development projects. PIPA begins with a participatory workshop where stakeholders make explicit their assumptions about how their project will make an impact, and produce an ‘Outcomes logic model’ and an ‘Impact logic model’. These two logic models provide an ex-ante framework of predictions of impact that can also be used in priority setting and ex-post impact assessment.
he article describes the institutionalization of farmer participatory research and plant breeding that has occurred in Honduras over the past 22 years and demonstrates how this approach can offer a positive response to climate change and sustainable agricultural development. In Honduras, participatory plant breeding (PPB) involves the collaboration of farmer researchers organized in local agricultural research committees (CIALs), plant breeders, and non-governmental organizations (NGOs).
Currently, agricultural extension system in Iran is experiencing a radical change to make extension system more effective in helping farmers to be more productive, profitable and sustainable.
Participation is connected to technology through the notion of innovation systems. To make the connection work, it is argued, the focus has to shift from a framing of participation in terms of democratic entitlement to a framing in terms of the settlement of issues (i.e. politics from below), The innovation system is an appropriate notion to see where issues are likely to lock on to processes of technological change.
The Northern Mountainous Region (NMR) of Vietnam is characterised by great physical, social and cultural diversity. It covers a large geographical area, is home to many ethnic minority populations, has an under-developed infrastructure with low levels of urbanisa-tion, and agricultural production plays a highly important role. Since the 1950s, Vi-etnam’s agricultural sector has had several ups and downs due to being significantly in-fluenced by shifting national policies.
This paper uses the Mexican Sustainable Modernisation of Traditional Agriculture (Ma-sAgro) programme as a case study to analyse the challenges to operationalizing agricultural innovation systems. The authors outline the relationship between Mexico ́s extension approaches and global trends in technological change. They then analyse how MasAgro ́s innovatio nnetworks are operationalized. Thirdly, is identified ways to efficiently target in innovation networks, using a case-study from the state of Chiapas. Finally, the paper draw lessons from MasAgro ́s innovation systems.