The evidence base on agri-food systems is growing exponentially. The CoSAI-commissioned study, Mining the Gaps, applied artificial intelligence to mine more than 1.2 million publications for data, creating a clearer picture of what research has been conducted on small-scale farming and post-production systems from 2000 to the present, and where evidence gaps exist.
Innovation for sustainable agricultural intensification (SAI) is challenging. Changing agricultural systems at scale normally means working with partners at different levels to make changes in policies and social institutions, along with technical practices. This study extracts lessons for practitioners and investors in innovation in SAI, based on concrete examples, to guide future investment.
This training manual, which is based on a methodology developed by FAO’s Research and Extension Unit (OINR), presents a training course on assessing AIS consisting of eight modules.
Africa–Europe Cooperation and Digital Transformation explores the opportunities and challenges for cooperation between Africa and Europe in the digital sphere.
This book chapter reviews the literature on agricultural innovation, with the threefold goal of (1) sketching the evolution of systemic approaches to agricultural innovation and unravelling the different interpretations; (2) assessing key factors for innovation system performance and demonstrating the use of system thinking in the facilitation of processes of agricultural innovation by means of innovation brokers and reflexive process monitoring; and (3) formulating an agenda for future research.
This article presents a different dimension of the innovation systems approach, going beyond analysis and shedding light on how these processes can be facilitated in practice. This is based on 20 years' experience with innovations systems. The focus is on the role of facilitation in triggering the changes, as well as in integrating learning and knowledge management (KM) in the innovation process.
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 is a discussion of the processes that led Unilever to develop and implement a corporate sustainability strategy working with multiple stakeholders.
ICTs are being increasingly used for Knowledge Management (KM) nowadays. In spite of this, rapid deployment of ICTs for KM is a major challenge. This paper explores the challenges in using ICT for KM using the case of “agropedia” – an ICT mediated knowledge management platform for Indian agriculture. The paper argues that KM is no more a technical challenge, but rather constrained by social and organizational barriers. Without initiating institutional and policy changes in addressing these barriers, KM continues to elude Indian agriculture.
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.