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
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.
Este documento en el contexto del Programa Regional de Investigación e Innovación por Cadenas de Valor Agrícola (PRIICA), tiene como objetivo el desarrollo de acciones para incrementar la disponibilidad de los alimentos y el acceso a ellos y a generar bienes públicos internacionales, mediante la investigación agrícola en los productos-cadena: papa, yuca, tomate y aguacate en Centroamérica y Panamá.
Numerous innovation platforms have been implemented to encourage the adoption of agricultural innovations and stakeholder interactions within a value chain. Yet little research has been undertaken on the design and implementation of innovation platforms focussing on issues other than market access and aiming to encourage agro-ecological intensification.
To keep yield advances, farmers in Mato Grosso (MT) have been adopting several technological innovations. Therefore, agricultural production systems in MT have become complex and dynamic since farmers have to consider the increase of decision variables when planning and implementing their farming practices. These variables are widely spread across many distinct topics, bringing them together and summarizing information from diverse fields of research has become a difficult task in farmers’ decision-making process.