We are facing complex societal problems such as climate change, human conflict, poverty and inequality, and need innovative solutions. Multi-stakeholder processes (MSPs) are more and more seen as a critical way of coming to such innovative solutions. It is thought that when multiple stakeholders are able to meet, share experiences, learn together and contribute to decisions, new and innovative ways of dealing with problems are found and turned into action. Still, much remains to be understood about the role and effectiveness of social learning in multi-stakeholder settings.
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.
This project report from Wageningen UR (as a contribution to the CGIAR Humid Tropics research program) examines critical issues for reflection when designing and implementing research for development in innovation platforms’. The current document therefore aims to increase awareness about the complexity of research in innovation. The underlying idea is that innovation platforms can facilitate institutional changes and support system innovations through increased interaction, negotiation and learning between stakeholders, including (new) roles of research(ers).
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
This training manual was prepared under the EU-funded project Capacity Development for Agricultural Innovation Systems (CDAIS), a global partnership (Agrinatura, FAO and 8 pilot countries) that aims to strengthen the capacity of countries and key stakeholders to innovate in complex agricultural systems, thereby achieving improved rural livelihoods.
The Action Planning is a tool that formalizes commitments and plots the route to their implementation. An action plan is intended for the use of the core actors, who will have been identified beforehand in the visioning phase. It determines who does what and when, and is therefore essential to ensuring that things get done and that the goals and visions set out in the capacity development strategy are achieved.
This tool was designed to assess innovation capacities, identify strengths and weaknesses and monitor capacity changes over time. The scoring tool makes it clear which functional capacities are going to be needed to promote, lead or successfully participate in innovation processes. The tool evaluates capacities on the basis of 21 indicators (each of which is graded on a scale from 0 (low capacity) to 3 (high capacity), and build on the key innovation capacities identified in the capacity needs assessment.