These guidelines have been elaborated by the CDAIS project to organize policy consultations at innovation partnership level. They can be used by project teams (e.g. project managers, facilitators, policy consultants) to plan and conduct workshops with representatives of the innovation partnership to discuss policy related issues that hinder the innovation process in a particular partnership.
Cassava is an important crop especially in the south of Rwanda. A processing factory was constructed, but it was unable to source enough roots to make it profitable. Since CDAIS became involved, however, actors got together, saw the problems and agreed ways forward. Now a few years later business is booming for all involved, from farmers with a secure market, producers of improved planting material, and the factory itself that produces much more cassava flour and now employs 230 people.
In November 2016, a CDAIS capacity needs assessment of a community milk processing centre started a process that has seen clear changes in less than a year. The Burera dairy was selected as one of the country’s ‘innovation niche partnerships’, and the assessment, workshop and associated training allowed participants to better understand the value chain, the issues, problems, and possible solutions. Now, Burera dairy is moving forward, and quickly….
This tool helps the design of comprehensive capacity development interventions aimed at strengthening mainly functional capacities. The purpose of this tool is to provide an overview of the different options in terms of capacity development modalities that an innovation partnership can consider while developing the action plan.
The multi-stakeholders Assessment Form is a tool to enable the different actors creating a partnership to ask systematic questions to a potential partner to ensure a good fit with the goal, vision and needs of the partnership. This tool can be used at the development/ starting point phase of the partnership to explore a potential relationship.
The Outcome mapping factsheet provides a series of steps to gather information on the outcomes of the process initiated by capacity development for agricultural innovation. This tool provides an overview of the outcome mapping methodology used for planning and assessing projects/programmes oriented towards change and social transformation. A simplified version (three stages and 10 steps) is proposed, based on the original IDRC methodology and experiences from the application in the CDAIS project.
The goal of this tool is to help facilitators examine the roles that women and men play in an innovation partnership and to better integrate their specific needs and priorities in the interventions planned for the innovation partnership. Gender analysis of the innovation partnership can also be done throughout project implementation to monitor how men and women are integrated and benefit from the project and to reduce the gender gaps.
The overall objective of this research was to undertake a rapid milk value chain analysis toward identifying innovation opportunitiesto boost the milk production in Rwanda. The identified opportunities include boosting milk production through improved cattle breeds and animal nutrition, introduction of small and medium scale processors, development of business hub models around MCCs, consumer sensitization and school programs to boost milk demand
This article presents a multi-stakeholder framework for intervening in root, tuber, and banana seed systems and in other VPCs. These crops are reproduced not with true seed but with vegetative planting material (e.g., roots,tubers, vines, stems, and suckers), called “seed” in this article. Seed systems for VPCs need to be designed differently than those for true seed, and coordination among stakeholders in seed systems is crucial
What are key characteristics of rural innovators? How are their experiences similar for women and men, and how are they different? To examine these questions, this study draw on individual interviews with 336 rural women and men known in their communities for trying out new things in agriculture. The data form part of 84 GENNOVATE community case studies from 19 countries. Building on study participants’ own reflections and experiences with innovation in their agricultural livelihoods, we combine variable-oriented analysis and analysis of specific individuals’ lived experience.