One option for practically applying innovation systems thinking involves the establishment of innovation platforms (IPs). Such platforms are designed to bring together a variety of different stakeholders to exchange knowledge and resources and take action to solve common problems. Yet relatively little is known about how IPs operate in practice, particularly how power dynamics influence platform processes.This paper focuses on a research-for-development project in the Ethiopian highlands which established three IPs for improved natural resource management.
Les Champs-Ecoles des Producteurs (CEP) sont une approche d’apprentissage participatif utilisée dans de nombreux différents contextes à travers le monde. Un CEP rassemble un groupe d'agriculteurs, d'éleveurs ou de pêcheurs, dans le but d’apprendre à s'orienter vers des pratiques de production plus durables. C’est un espace d’apprentissage collectif et concret, qui permet aux populations locales d'améliorer leurs compétences en matière d'analyse critique et de prise de décisions.
The nature of the issues around which Agricultural Research for Development (ARD) partnerships are formed requires a different way of conceptualizing and thinking to that commonly found in many agricultural professionals. This brief clarifies the components of a system of interest to an ARD partnership.
Presentation by David Neven, Senior Economist at FAO (Food and Agriculture Organization of the United Nations), for the Global Forum for innovations in agriculture (Abu Dhabi, 20-21 March 2017), an event to present solutions and inspire debate across all types of food production.
This research note explains the results of social experiment designed with three primary objectives. These include (1) to mitigate the digital divide concerning the accessibility of forecasted weather information and crop advisories for women farmers in Bangladesh and (2) to assess the potential impact of a digital climate advisory tool on the agricultural practices of climate-smart agriculture facilitated by digital advisory tools for stakeholders in the value chain, such as microfinance institutions offering crop loans in areas facing higher weather-related risks.
This paper has been prepared under the guidelines provided by the TAP Secretariat at the FAO, as a contribution to the G20 initiative TAP, which includes near 40 partners and is facilitated by FAO. Its purpose is to provide a Regional synthesis report on capacity needs assessment for agricultural innovation, with capacity gaps identified and analyzed, including recommendations to strengthen agricultural innovation systems (AIS) and draft policy recommendations to address the capacity gaps.
This report assesses trends in investments, human resource capacity, and research outputs in agricultural R&D -excluding the private (for-profit) sector- in LAC. It is an update of Stads and Beintema (2009), covering a more complete set of countries and focusing primarily on developments during 2006-2012/2013.
The CDAIS Communication strategy for 2015-2018 aims to contribute to CDAIS project's core objective of making agricultural innovation systems more efficient and sustainable in meeting the demands of farmers, agribusiness and consumers. For more information on CDAIS, see: https://www.fao.org/in-action/tropical-agriculture-platform/cdais-project...
Rationale Documentation is a vital part of CDAIS project’ objective to test the theory of change in pilot countries because it will enable to record the process of capacity development in agricultural innovation systems. At the same time, documentation will help CDAIS in delivering on public information targets, complying with requirements of its main donor and provide material for communication for development.
Capacity development interventions in support of agricultural innovation are more effective when based on systematic and participatory assessments of existing skills and capacity needs. Recognizing that, an instrument has been developed in the context of the Capacity Development for Agricultural Innovation Systems (CDAIS) project. It consists of a capacity scoring tool that allows assessing innovation capacities, identifying strengths and weaknesses and monitoring capacity changes over time. This paper describes the scoring tool and provides guidelines on how to apply it successfully.