This policy brief presents, explains and illustrates the five key recommendations that came out of the joint learning process during the JOLISAA project: 1. Build on innovation “in the social wild”; 2. Combine local and external knowledge and ideas to enhance innovative capacity; 3. Encourage access to diverse value chains to lower the innovation risks; 4. Support unpredictable innovation processes; 5. Address the multiple dimensions of innovation.
This paper shows there is a fundamental significance of Social Learning to agricultural innovation, which can be operationalized by framing agricultural innovation as changes in understanding, practices and relationships. The use of Social Learning as a design framework supports the emergence of agricultural innovations that bring equitable benefits, are sustainable and are innovated in context.
This paper, presented at the 12th European IFSA Symposium (Workshop: "Generating spaces for innovation in agricultural and rural development") in 2016, aims to summarise the main features of the AgriSpin project. The project is being financed by the Horizon 2020 research program of the European Commission aiming at contributing to system-oriented innovation research in agriculture and as complementary to the policy instrument EIP AGRI. The idea behind EIP AGRI is that innovation emerges from interaction between stakeholders.
The European Innovation Partnership for agricultural productivity and sustainability (EIP-AGRI), which can be perceived as a platform based on interaction among farmers, researchers, and advisors/extensionists, represents a useful tool for a better understanding of applied innovation processes.
Although innovation is understood to encompass much more than R&D, science continues to be an essential ingredient. In particular translation, adaptation and ‘valorisation’ of research results, the responsiveness of research to users’ needs and improved access to results are all regarded as important in achieving a more sustainable European agriculture. These challenges can be addressed in a number of ways including increased collaboration, networking, transdisciplinary research and co-operation between researchers and practitioners.
The private sector’s presence in agricultural advisory services worldwide has been on the increase for over three decades. This trend has also been observed in the Mantaro Valley (Peru), in a context of dairy family farming. The objective of the communication is to analyse the modalities of advisory services privatization and assess the consequences of this privatization for the farmers and their livestock systems. Data were collected through input suppliers, different types of advisers and producers interviews.
In this paper, presented at the 12th European IFSA Symposium (Workshop: "Generating spaces for innovation in agricultural and rural development") in 2016, the authors assess the integration of new entrants to small-scale farming into agricultural knowledge and innovation systems (AKIS), in four study sites located on Europe’s periphery (Bulgaria, Poland, Portugal, and the United Kingdom).
While privatization of extension has received considerable attention with respect to implications for public and private good, less consideration has been given to structural and relational implications for knowledge sharing.
This brief was prepared for the "Session Partnerships for Livelihood Impacts" of the second Global Conference on Agricultural Research for Development (GCARD2), that took place from 29 October to 1 November 2012 in Punta del Este, Uruguay. According to this document, new organizational arrangements which place the user of research central in the definition of research priorities and in uptake processes are required.
The problem being addressed during this session of the Second Global Conference on Agricultural Research for Development (GCARD2), which was held in Punta del Este, Uruguay, in 2012, is how we can bring together the needed diversity – of stakeholders and approaches – and understand better a number of multidimensional and complex questions such as: How can we inform stakeholders on alternative future scenarios and debate the desirability, consequences, winners and losers of diverse scenarios? How to better combine quantitative analyses with qualitative arguments?