This Module is the first in a series of four that address capacity development competencies in FAO. It is intended to provide FAO staff and consultants with a basic understanding and knowledge of Capacity Development (CD), reflecting the international debate as well as FAO’s perspective on CD. It also provides some key concepts for adopting changes in responsibilities, behaviours and attitudes that are consistent with FAO’s new role in CD.
This flyer expresses the idea that Agricultural knowledge, science and technology (AKST) cannot be achieved through business as usual and that nstitutions are needed that can drive efforts in the face of unprecedented challenges. The discussed key questions are: How have institutions shaped the development of AKST? What are their impacts on sustainable and equitable development? Which institutional arrangements have the greatest potential to drive and deliver sustainability and development goals?
The process of knowledge brokering in the agricultural sector, where it is generally called agricultural extension, has been studied since the 1950s. While agricultural extension initially employed research push models, it gradually moved towards research pull and collaborative research models. The current agricultural innovation systems perspective goes beyond seeing research as the main input to change and innovation, and recognises that innovation emerges from the complex interactions among multiple actors and is about fostering combined technical, social and institutional change.
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.
The innovation system perspective acknowledges the contributions made by all stakeholders involved in knowledge development, dissemination and appropriation. According to the specific agricultural production system, farmers adopt innovations, modify them or innovate on their own. This paper examines the role of farmers' experiments and innovations in Cuba's agricultural innovation system (AIS), identifies knowledge exchange encounters and describes some strategies implemented to institutionalize farmers' experiments and innovations.
In this paper, presented at the 12th European IFSA Symposium (Workshop: "Generating spaces for innovation in agricultural and rural development") in 2016, the authors assess the integration of new entrants to small-scale farming into agricultural knowledge and innovation systems (AKIS), in four study sites located on Europe’s periphery (Bulgaria, Poland, Portugal, and the United Kingdom).
This short presentation, prepared for the 22nd European Seminar on Extension and Education (ESEE) in Wageningen (29 April 2015), summarizes the SOLINSA (Support Of Learning and Innovation Networks for Sustainable Agriculture) project and its objectives and describes the three features to enhance transition towards sustainable agriculture through learning & innovation: 1) Processes of co-evolution; 2) Joint Reflection; 3) Facilitation.
They were once the central element in state-funded research, but now the research bodies need to redefine their role as partners in the innovation process, responding more efficiently to the needs of society and businesses. In agriculture, the concept of innovation was dominated in the past by linear knowledge transfer in the form of new technologies that were essentially generated by public research (research institutes or universities), transferred to the agricultural extension services, and hence to the farmers for adoption.
Farmers’ experiments can be defined as the autonomous activities of farmers to try or introduce something new at the farm, and include evaluation of success or failure with farmers’ own methods. Experiments enable farmers to adapt their farms to changing circumstances, build up local knowledge, and have resulted in countless agricultural innovations. Most research on the topic has been conducted in countries of the south.
Until recently, little attention has been paid to local innovation capacity as well as management practices and institutions developed by communities and other local actors based on their traditional knowledge. This paper doesn't focus on the results of scientific research into innovation systems, but rather on how local communities, in a network of supportive partnerships, draw knowledge for others, combine it with their own knowledge and then innovate in their local practices.