The Participatory Market Chain Approach (PMCA), which aims to stimulate gender-responsive innovations in commodity chains, was used to improve the performance of ALVs market chains in central Uganda. This paper presents the results of applying the PMCA in a phased manner on the Indigenous African Leafy Vegetables (ALVs) commodity chain in the context of a collaborative research project implemented in central Uganda
This study sought to examine the gaps and draw lessons for effective Innovation platforms (IPs) formation using the case of the coffee IPs in the four districts of Luwero, Ntungamo, Bushenyi and Rakai in Uganda. Data were collected through key informant interviews with 32 actors of the coffee steering committees and from document review. Qualitative data analysis was conducted using content and thematic analysis
The aim of this study was to investigate the vulnerabilities of women involved in a bean value chain development intervention at the Maendeloe Innovation Platform in Eastern DRC. Specifically, the paper first discusses the roles of women and men in the value chain, what production resources and benefits they access and control, the role of the IP as a vehicle for women’s empowerment, and identifies women’s gender needs. Secondly, the paper identifies women’s vulnerabilities, and the capacities that the IP could build on, to support their participation in bean value chain development
This flyer is about the AgriFood chain toolkit, which has been launched in 2013 by the CGIAR programme on Policies, institutions and markets.The AgriFood chain toolkit acts as a clearing house and learning platform – using the power of information and communication technologies to bring together people and resources.
Communication is a crucial part of facilitating the process of innovation within an innovation platform. It comprises a broad range of practices and approaches which include information management, publishing, use of information and communication technologies, communication for development, knowledge sharing and knowledge management. Its goal is not just to produce or disseminate more information, but rather to use communication processes to power changes identified by the platform.
The presentation was given at the ILRI Policy, Trade and Value Chains Program (May–November 2014) Seminar, ILRI Nairobi, 21 November 2014. It included the introduction of Dairy Development Forum, background and purpose, literature review, methodology, results and discussions, and conclusions.
On 15 November 2012, as part of the IFAD East and Southern Africa regional meeting in Addis Ababa, ILRI was asked to convene and facilitate a 1 hour session on ways that CGIAR and IFAD could collaborate. The session drew on contributions from different CGIAR centres; it involved speakers from ILRI, IWMI and ICARDA. It provided a very good, but short, opportunity to make connections between some CGIAR staff and IFAD and project staff; several individual follow up conversations were triggered.
The presentation (www.slideshare.net/ILRI/cgiar-and-ifad-sharing-and-scaling-up-innovations) reflected on current collaboration experiences between IFAD and the CGIAR, it introduced the ‘renewed’ research for development focus of the CGIAR and its multi-center Research Programs and it explored ideas for future collaboration.
Strengthening the capacity of farmer training centers (FTCs) in Ethiopia and enhancing FTC‐based training and knowledge services is important to leverage and optimize potential contributions of FTCs to facilitating market‐led and knowledge‐based agricultural transformation.
The CGIAR research program on livestock and fish aims to sustainably increase the productivity of small-scale livestock and fish systems so as to increase the availability and affordability of meat, milk and fish for poor consumers across the developing world. The purpose of this document is to lay out a Monitoring, Evaluation and Learning (MEL) Framework for the program. The Framework provides a concise narrative of why the M&E system is important, how it operates, what kinds of data it will collect and who is responsible for data collection and analysis.