The presentation was for the workshop on the lessons and success stories from a pilot project on climate change adaptation interventions in Kabe watershed, south Wollo, Ethiopia, Addis Ababa, 11-12 February 2013.
This paper discusses a range of approaches and benchmarks that can guide future design of value chain impact evaluations. Twenty studies were reviewed to understand the status and direction of value chain impact evaluations. A majority of the studies focus on evaluating the impact of only a few interventions, at several levels within the value chains. Few impact evaluations are based on well-constructed, well-conceived comparison groups. Most of them rely on use of propensity score matching to construct counterfactual groups and estimate treatment effects.
The workshop summarized in this report was proposed by the Africa Research in Sustainable Intensification for the Next Generation (Africa RISING) project and CG’s livestock and fish program, in response to a perceived need to strengthen the capacity of local partners and staff (including agricultural scientists, development practitioners and development agents/extensionists) to integrate gender in the agricultural interventions in the Ethiopian Highlands.
The Africa Research In Sustainable Intensification for the Next Generation (Africa RISING) program comprises three research-for-development projects supported by the United States Agency for International Development as part of the U.S. government’s Feed the Future initiative.
The Africa Research in Sustainable Intensification for the Next Generation (Africa RISING) program, supported by the United States Agency for International Development, aims to create opportunities for smallholder farm households to move out of hunger and poverty through sustainably intensified farming systems that improve food, nutrition, and income security, particularly for women and children, and conserve or enhance the natural resource base.
The Africa Research in Sustainable Intensification for the Next Generation (Africa RISING) program comprises three research-for-development projects supported by the United States Agency for International Development as part of the U.S. government’s Feed the Future initiative. Through action research and development partnerships, Africa RISING will create opportunities for smallholder farm households to move out of hunger and poverty through sustainably intensified farming systems that improve food, nutrition, and income security, particularly for women and children, and
The workshop was attended by over 50 people including partners from CGIAR centres, Regional Research Institutes and Centres, Universities, woredas and kebeles working with Africa RISING. The workshop discussed the use of different approaches, methods and tools for the efficient and
sustained functioning of innovation platforms (IPs) that could improve research and subsequent scaling up of suitable technologies and value chains to improve livelihoods.
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.
The presentation is for the ILRI Innovation Platform (IP) Training Workshop. At the end of this session participants will be able to: Capture basic concepts in IP monitoring and evaluation; Comprehend why it is important to monitor and evaluate IPs; Contribute to fine-tuning of Africa RISING IP monitoring and evaluation framework; Identify IP TG members championing the M&E work at the research sites.
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.