The chapter presents a research for development program’s shift from a Logframe Approach to an outcome and results-based management oriented Monitoring, Evaluation and Learning (MEL) system. The CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) is designing an impact pathway-based MEL system that combines classic indicators of process in research with innovative indicators of change. The chapter presents the approach to theory of change, impact pathways and results-based management monitoring, evaluation and learning system
Background: Up to now, efforts to help local communities out of the food-insecurity trap were guided by researcher (or other actors)-led decisions on technologies to be implemented by the communities. This approach has proved inefficient because of low adoption of the so-called improved technologies. This paper describes the strategic approaches to the development of a climate-smart village (CSV) model in the groundnut basin of Senegal.
This paper describes the strategic approaches to the development of a climate-smart village (CSV) model in the groundnut basin of Senegal. A CSV model is a participatory integrated approach using climate information, improved context-based technologies/practices aiming at reaching improved productivity (food and nutrition security), climate resilient people and ecosystem and climate mitigation.
Implementation is the final stage of the capacity development (CD) for agricultural innovation systems (AIS) cycle of the TAP Common Framework. The Cycle consists of five stages:1.Galvanizing Commitment, 2.Visioning, 3.Capacity Needs Assessment, 4.CD Strategy Development and 5.Implementation. The implementation phase builds on the previous realization of a CD strategy, including an action plan, based on the results of a capacity needs assessment. Those individuals or organizations who assume responsibility for a certain activity will be in charge of implementing the plan.
The design of capacity development interventions is a crucial phase in the capacity development (CD) for agricultural innovation systems (AIS) cycle of the TAP Common Framework. Intervention planning follows from and builds on the visioning exercises and needs assessments carried out beforehand. Options for CD interventions will depend on the country context, ongoing programmes and funding opportunities. Prioritization should also include identification of activities that can take off immediately.
Capacity needs assessment is at the core of the cycle of the TAP Common Framework and it is fundamental to strengthening the agricultural innovation systems (AIS). The Assessment aims to ascertain the level of technical and functional capacity, and in particular the capacity to adapt and respond in the various dimensions. The capacity needs assessment will provide an analysis across the sector to inform the setting of priorities and development of strategic capacity development (CD) interventions.
Capacity needs assessment is at the core of the cycle of the TAP Common Framework and it is fundamental to strengthening the agricultural innovation systems (AIS). The Assessment aims to ascertain the level of technical and functional capacity, and in particular the capacity to adapt and respond in the various dimensions. The capacity needs assessment will provide an analysis across the sector to inform the setting of priorities and development of strategic capacity development (CD) interventions.
The visioning process brings together representatives of actor groups within the agricultural innovation systems (AIS) to build on their common understanding of AIS and the need for a coordinated approach. The process involves a wide spectrum of interested parties including ministries, legislative bodies and representatives of the private sector plus development partners and civil society.
Galvanizing the commitment of agricultural innovation systems (AIS) actors through learning, participation and reflection is a prerequisite for capacity development (CD) initiatives. This phase ensures both a common understanding of the process of CD for AIS as well as to create ownership and high-level support by those that head and lead representative bodies of actors within the system.
This free Massive Open Online Course (MOOC) on Open Data Management in Agriculture and Nutrition was first created in 2016. The course was delivered 5 times between November 2017 and November 2018, reaching over 5000 people globally, before being made available for unrestricted use