The last decade has seen a growing interest in scaling up innovations to realise wider benefits from development investments. While numerous proven technologies, products and models have been successfully piloted, scaling them up through expansion, adoption and replication has proved challenging, particularly in poor regions of the world. The low uptake of innovations is partially attributed to the design of technologies, in a manner that is not compatible with local farming practices. At the same time, proven innovations fail to generate large impacts at scale because implementing actors have not sufficiently understood or effectively engaged with the scaling process. This article shares lessons from the Canadian International Food Security Research Fund (CIFSRF) that supported applied research to develop, test and scale up promising food and nutrition security innovations. Key lessons include ensuring that innovations are embedded within local socio-ecological systems; engaging end users throughout the research process and enabling participatory decision-making; and considering the investment returns of innovations for end-users.

The last decade has seen a growing interest in scaling up innovations to realise wider benefits from development investments. While numerous proven technologies, products and models have been successfully piloted, scaling them up through expansion, adoption and replication has proved challenging, particularly in poor regions of the world. The low uptake of innovations is partially attributed to the design of technologies, in a manner that is not compatible with local farming practices. At the same time, proven innovations fail to generate large impacts at scale because implementing actors have not sufficiently understood or effectively engaged with the scaling process. This article shares lessons from the Canadian International Food Security Research Fund (CIFSRF) that supported applied research to develop, test and scale up promising food and nutrition security innovations. Key lessons include ensuring that innovations are embedded within local socio-ecological systems; engaging end users throughout the research process and enabling participatory decision-making; and considering the investment returns of innovations for end-users.

Participatory approaches for impact assessment are increasingly becoming popular with development organisations for engaging multiple stakeholders. We present our use of participatory impact diagrams as an evaluation tool within a mixed methods impact assessment of several drought-reduction interventions in Kenya. Results show that because men and women have different roles, their experiences of interventions vary. We discuss how this methodology encouraged communities to describe various intervention outcomes including unintended impacts, often overlooked by conventional impact assessment approaches. Methodological challenges included the integration of quantitative data; opportunities for its application within the wider discipline of monitoring and evaluation are considered.

Participatory approaches for impact assessment are increasingly becoming popular with development organisations for engaging multiple stakeholders. We present our use of participatory impact diagrams as an evaluation tool within a mixed methods impact assessment of several drought-reduction interventions in Kenya. Results show that because men and women have different roles, their experiences of interventions vary. We discuss how this methodology encouraged communities to describe various intervention outcomes including unintended impacts, often overlooked by conventional impact assessment approaches. Methodological challenges included the integration of quantitative data; opportunities for its application within the wider discipline of monitoring and evaluation are considered.

The international workshop 'Rethinking Impact: Understanding the Complexity of Poverty and Change' (Cali, Colombia, 26-28 March 2008) explored the challenges inherent in evaluating agricultural research-for-development efforts, identifying lessons and approaches for sustainably improving livelihoods. Use-oriented research which links knowledge with action has greater welfare and development impacts. Researchers must help to link diverse stakeholders in order to create and share knowledge for effective, sustainable action. The legitimacy of such boundary-spanning work needs to be recognised and rewarded, and sufficient resources dedicated to it. Traditional economic-impact assessment does little justice to complex poverty-related activities, which require a diversity of methods and enhanced capacity.

The international workshop ‘Rethinking Impact: Understanding the Complexity of Poverty and Change’ (Cali, Colombia, 26–28 March 2008) explored the challenges inherent in evaluating agricultural research-for-development efforts, identifying lessons and approaches for sustainably improving livelihoods. Use-oriented research which links knowledge with action has greater welfare and development impacts. Researchers must help to link diverse stakeholders in order to create and share knowledge for effective, sustainable action. The legitimacy of such boundary-spanning work needs to be recognised and rewarded, and sufficient resources dedicated to it. Traditional economic-impact assessment does little justice to complex poverty-related activities, which require a diversity of methods and enhanced capacity.

The use of system dynamics tools can add valuable insights when identifying and evaluating priorities for pro-poor value chain upgrading. However, to better understand the complex systems in agricultural value chains and to develop useful models, a participatory modelling process is important. This article highlights the group model building process of the dairy value chain in Matiguás, Nicaragua, one of a few examples of participatory model building in developing countries. The results confirm several benefits with participatory system dynamics modelling, including team learning, a greater understanding of the value of modelling, and a tool for decision-making and priority setting. | Participatory system dynamics modelling for dairy value chain development in Nicaragua

Recent research has highlighted the valuable contributions that participatory processes contribute in developing system dynamics models of value chains with stakeholders. A new participatory process known as spatial group model building (SGMB) expands these insights, using maps and GIS concepts to improve the facilitation and modelling process. This practical note provides an overview of SGMB, its recent applications in informing development interventions, and proposed innovations to expand its use and dissemination.

Recent research has highlighted the valuable contributions that participatory processes contribute in developing system dynamics models of value chains with stakeholders. A new participatory process known as spatial group model building (SGMB) expands these insights, using maps and GIS concepts to improve the facilitation and modelling process. This practical note provides an overview of SGMB, its recent applications in informing development interventions, and proposed innovations to expand its use and dissemination.