This report explores the role of rural networks in enhancing innovation processes, questioning the features of the agricultural/rural networks could enhance farmers’ ability to co-innovate in cooperation with other actors. The prospect of this investigation is also to provide interesting and significant experiences that constitute examples for the ‘European Innovation Partnership’ by increasing farmers’ capacities to create, test, implement and evaluate innovations in cooperation with other rural actors.
The report synthesises the research conducted under the PRO AKIS project for the topic "Designing, implementing and maintaining agricultural/rural networks to enhance farmers’ ability to innovate in cooperation with other rural actors".
The present case study investigated a policy-induced agricultural innovation network in Brandenburg.
This report has the aim of contributing to the PRO AKIS overall goal of exploring and identifying the possibilities, conditions and requirements of rural networks to enhance the farmers’ ability to create, test, implement and evaluate innovation in cooperation with other actors.In particular, the report presents two cases: the Small Fruit Cluster (SFC) and the Drosophila Suzukii Monitoring (DSM) network. The SFC is a nationwide, multi-actor network composed of several actors, interacting in the small fruit sector in Portugal.
The aim of this document is to produce a state-of-the-art of the academic literature in order to identify theories and concepts available for: a) describing the structure, the dynamics and the functioning of agricultural advisory services; b) understanding how these services are embedded into national Agricultural Knowledge and Innovation Systems (AKIS), and into various agricultural and rural policies across the European Union (EU) countries; c) providing some conceptual elements to support the methodology for an inventory of agricultural advisory services in EU 27 countries (WP3 of the PR
Natural hazards have become more frequent and intense in the last few decades, increasing the often significant negative impacts on the gross domestic product of countries in southern Africa and undermining development efforts. Forecasts are negative as a result of climate change, which is increasingly linked to more frequent and severe weather patterns that are expected to have a dramatic impact on these countries‘ economies and environments.
Social learning in multi-actor innovation networks is increasingly considered an important precondition for addressing sustainability in regional development contexts. Social learning is seen as a means for enabling stakeholders to take advantage of the diversity in perspectives, interests and values for generating more sustainable practices and policies. Although more and more research is done on the meaning and manifestations of social learning, particularly in the context of natural resource management, little is known about the social dynamics in the process of social learning.
This brief report lays out ten theories of advocacy and policy change. These theories are intended to articulate the policy making process and identify causal connections supported by research to explain how and why a change may or may not occur. It further provides examples of the way in which advocates, funders, and evaluators can use these theories in their work.
The CGIAR Research Program on Aquatic Agricultural Systems (AAS) is a research in development program which aims to foster innovation to respond to community needs, and through networking and social learning to bring about development outcomes and impact at scale. It aims to reach the poorest and most vulnerable communities that are dependent upon aquatic agricultural systems. AAS uses monitoring and evaluation to track progress along identified impact pathways for accountability and learning.
This paper captures lessons from recent experiences on using ‘theories of change’ amongst organisations involved in the research–policy interface. The literature in this area highlights much of the complexity inherent in the policymaking process, as well as the challenges around finding meaningful ways to measure research uptake. As a tool, ‘theories of change’ offers much, but the paper argues that the very complexity and dynamism of the research-to-policy process means that any theory of change will be inadequate in this context.