This synthesis report presents the outputs of the workshop organised by CTA at its headquarters in Wageningen, The Netherlands, 15-17 July 2008. The outputs are presented in two main parts, each corresponding to one of the workshop objectives, and ends with a section on the way forward as suggested by the workshop participants. It also includes a first attempt to come to a consolidated generic framework on AIS performance indicators, based on the outputs of the different working groups.
This learning module on Applying innovation system concept in agricultural research for development has been prepared to serve as a tool in achieving the objective of strengthening the capacity of project staff and other researchers and actors who are believed to have a key role to play in ushering in market-led agricultural transformation. This includes national, regional, international and private sector agricultural researchers, university lecturers, and others engaged in biophysical as well as social science research.
The Capacity Development Results Framework (CDRF or the Framework) is a powerful new approach to the design, implementation, monitoring, management, and evaluation of development programs. Originally conceived to address well-documented problems in the narrow field of capacity development, the Framework can be profitably applied to assess the feasibility and coherence of proposed development projects, to monitor projects during implementation (with a view to taking corrective action), or to assess the results, or even the design, of completed projects.
The Conceptual Background provides an in-depth analysis of the conceptual underpinnings and principles of the TAP Common Framework. It is also available in French and Spanish.
In sub-Saharan Africa, there is increasing interest for the adaptation and use of the innovation systems approach to advance learning and development in the Agricultural Research and Development (ARD) sector. This crave is constrained by unavailability of a proven blue print that describe the paradigm shift from the linear approach and how such could function under different socio-economic, cultural and political climate.
LenCD has prepared a joint statement on results and capacity development (presented in this publication), which stresses that meaningful, sustainable results are premised on proper investments in capacity development and that these results materialize at different levels and at different times, along countries’ development trajectory. To provide evidence in support of this statement, LenCD launched a call for submission of stories.
This paper identifies market failures that limit agricultural R&D for Africa and other resource-poor environments, and proposes a way to complement existing institutions with cash prizes for the dissemination of successful new technologies adopted by low-income farmers. The proposed prize institution would use agronomic experiments and farm surveys to document the value of innovations after their initial diffusion, and offer payments in proportion to estimated social benefits in target regions.
This book represents the proceedings of the FAO international technical conference dedicated to Agricultural Biotechnologies in Developing Countries (ABDC-10) that took place in Guadalajara, Mexico on 1-4 March 2010. A major objective of the conference was to take stock of the application of biotechnologies across the different food and agricultural sectors in developing countries, in order to learn from the past and to identify options for the future to face the challenges of food insecurity, climate change and natural resource degradation.
This report describes the 2012 NAIS Assessment was piloted in 4 countries: Botswana, Ghana, Kenya and Zambia. Data were collected through a survey questionnaire, open-ended interview questions, and data mining of secondary sources. A team led by a national coordinator took charge of data collection from various partner organizations in each country.
In this paper the authors provide climate smart agriculture (CSA) planners and implementers at all levels with a generic framework for evaluating and prioritising potential interventions. This entails an iterative process of mapping out recommendation domains, assessing adoption potential and estimating impacts. Through examples, related to livestock production in sub-Saharan Africa, they demonstrate each of the steps and how they are interlinked. The framework is applicable in many different forms, scales and settings.