This paper explores the use of complex adaptive systems theory in development policy analysis using a case study drawn from recent events in Uganda. It documents the changes that took place in the farming system in Soroti district during an outbreak of African cassava mosaic virus disease (ACMVD) and the subsequent decline in cassava production — the main staple food in the area. Resultant adaptation impacts are analysed across cropping, biological, economic and social systems each of which operate as an interlinked sub-system.

This paper argues that impact assessment research has not made more of a difference because the measurement of the economic impact has poor diagnostic power. In particular it fails to provide research managers with critical institutional lessons concerning ways of improving research and innovation as a process. Paper's contention is that the linear input-output assumptions of economic assessment need to be complemented by an analytical framework that recognizes systems of reflexive, learning interactions and their location in, and relationship with, their institutional context.

In the post-harvest area and in agriculture research in general, both in India and internationally, policy attention is returning to the question of how innovation can be encouraged and promoted and thus how impact on the poor can be achieved. This publication assembles several cases from the post-harvest sector. These provide examples of successful innovation that emerged in quite different ways. Its purpose is to illustrate and analyze the diversity and often highly context-specific nature of the processes that lead to and promote innovation.

This policy brief sets out the conceptual and empirical underpinnings of a learning-orientated monitoring and evaluation approach known as Institutional Learning and Change (ILAC) and discusses options for learning-oriented interventions and policy research. 

This paper reviews a recent donor-funded project concerning the introduction of post-harvest technology to poor hill farmers in India. Rather than conform to conventional development aid projects of either a “research” or an “interventionist” nature, it combines both approaches in a research-action program, which has more in common with a business development approach than a formal social science one. An important conclusion is that the work (and apparent success) of the project is consistent with an understanding of development that emphasizes the importance of innovation systems.

Adapting through innovation is one way for rural communities to sustain and improve their livelihoods and environments. Since the 1980s research and development organizations have developed participatory approaches to foster rural innovation. This paper develops a model, called the Learning-to-Innovate (LTI) model, of four basic processes linked to decision making and learning which regulate rate and quality of innovation. The processes are: creating awareness of new opportunities; deciding to adopt; adapting and changing practice; and learning and selecting.

An innovation platform is a space for learning and change. It is a group of individuals (who often represent organizations) with different backgrounds and interests: farmers, traders, food processors, researchers, government officials etc. The members come together to diagnose problems, identify opportunities and find ways to achieve their goals. They may design and implement activities as a platform, or coordinate activities by individual members. This brief explains what innovation platforms are and how they work, and it describes some of their advantages and limitations.

Innovation platforms can be complex and challenging so effective monitoring is critical to ensure that they function effectively and achieve their intended purposes. A monitoring system is a collection of methods and tools to track and measure innovation activities, processes among partners, and the results of these processes. This brief describes what a monitoring system does, who is involved, how it works, and what to do with the findings. It is available in Chinese, English, Hindi, Thai and Vietnamese.

One of the most important things that innovation platforms do is to build the capacity of their members to innovate. Some key elements of innovation capacity include: self-organization, learning new skills, changing mindsets, valuing others’ roles in innovation, having a holistic view, being able to adapt to changing situations, creating new ideas, recognizing opportunities, being proactive, using indigenous ideas, and looking to the future. This brief uses the analogy of a traditional African cooking pot to explain how innovation capacity is developed within an innovation platform.

Esta guía está dirigida principalmente a aquellos actores que desempeñan el rol de facilitadores de procesos entre los vendedoresy los compradores que se han mencionado anteriormente. Puede ayudarle a usted y a su organización a facilitar un proceso sistemático de aprendizaje entre actores de una cadena de valor seleccionada, y está diseñada para acompañarlo en un proceso de innovación basado en la aplicación de un juego de 4 herramientas participativas:1.