The articles in the dossier present different approaches to supporting farmer-led research, ranging from partnerships between small-scale farmer organisations and research institutions, to alliances of farmer groups, nongovernmental organisations and researchers, to constellations in which farmer organisations directly contract researchers. The articles highlight some innovations that have emerged from these processes and – more important still – show new ways of organising research so that it strengthens innovative capacities at grassroots level.
The project “Strengthening Community Resilience to Change: Combining Local Innovative Capacity with Scientific Research” (CLIC–SR), supported by the Rockefeller Foundation, was completed on 31 August 2016. During the four years since 2012, the Prolinnova Country Platforms in Ethiopia, Kenya, Tanzania and Uganda made large strides in:
This evaluation report discusses the findings, conclusions and recommendations on the project “Strengthening Community Resilience to Change: Combining Local Innovative Capacity with Scientific Research (CLIC-SR)” under the umbrella of the network Promoting Local Innovation in ecologically oriented agriculture and NRM (PROLINNOVA). This project was implemented in four Eastern African countries, namely Ethiopia, Kenya, Tanzania and Uganda.
The CLIC–SR project started on 1 September 2012, ended on 31 August 2016, and was implemented in four countries: Ethiopia, Kenya, Tanzania and Uganda. This report covers the work done in the final project period: January–August 2016. The report adds a chapter that reviews the achievements of the project over the full project cycle. The report from an independent external evaluation was a major source of information for this final chapter.
Technological innovations have driven economic development and improvement in living conditions throughout history. However, the majority of smallholder farmers in sub‐Saharan Africa have seldom adopted or used science‐based technological innovations. Consequently, several scholars have been persistently questioning the effectiveness of intervention models in smallholder agriculture.
Little is known about effective ways to operationalize agricultural innovation processes. The authors of this article use the MasAgro program in Mexico (which aims to increase maize and wheat productivity, profitability and sustainability), and the experiences of middle level ‘hub managers’, to understand how innovation processes occur in heterogeneous and changing contexts. Their research shows how a program, that initially had a relatively narrow technology focus, evolved towards an innovation system approach.
The CDAIS Communication strategy for 2015-2018 aims to contribute to CDAIS project's core objective of making agricultural innovation systems more efficient and sustainable in meeting the demands of farmers, agribusiness and consumers. For more information on CDAIS, see: https://www.fao.org/in-action/tropical-agriculture-platform/cdais-project...
The importance of agriculture to Mongolia’s economy, and to its rural economy in particular, makes sustainable agricultural development a national priority. The transition from collective socialism to a market economy in the 1990s nearly caused the collapse of the entire agriculture sector. Since privatization, the number of livestock animals, mainly sheep and goats, has increased dramatically, reaching 45.1 million in 2012. This growth in both livestock and crop production was enabled by several factors. Yet investment in research and extension remains very low.
Multi-stakeholder (MS) platforms, such as innovation platforms (IP), public-private partnerships (PPP) are becoming more common but what they can achieve in innovation and scaling is limited and depends on different factors. This poster and the broader research paper provide evidence what MS platforms can and cannot achieve in their early phases and give insights about effectiveness and efficiency of Agricultural Research for Development (AR4D) interventions such as CGIAR research programs (CRPs) in low and middle income countries.
The capacity of existing monitoring and decision making tools in generating evidence about the performance of R4D with multi-stakeholder processes, such as innovation platforms (IPs), public private partnerships (PPP), participatory value chain management (PVCM) is very limited. Results of these tools are either contextual and qualitative such as case studies that can not be used by other R4D interventions or quantitative i.e. impact assessments that do not inform what works in R4D.