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.
Multi-actors networks are increasingly used by farmers to link between them and to be interactively connected with other partners, such as advisory organizations, local governments, universities, and non-farm organizations. Given the importance assigned to the agricultural innovation by EU resorting to the networking between the research chain actors and the farmers, a strong focus on enhancing the creation of learning and innovation networks is expected.
This paper relates the European Innovation Partnerships (EIP) to be implemented by Operational Groups (OGs) in Basilicata. New relationships and regeneration produced a “bio-economic Cluster”, creating “smart” specialization and a system linking research, innovation and the enterprise world. The Cluster consolidated competence and knowledge in small and medium enterprises, including agriculture and forest farms and encouraged the dissemination and implementation of innovative products and processes.
This paper is aimed at raising the discussion on frameworks and practices to analyse and support of innovation processes of operational groups in rural development policy. The analysis highlights an increasing interest of the current evaluation and research practices on interactive innovation processes, collaborative learning and capacity development both at individual, collective and systems levels. Particularly, transformative-oriented frameworks have been developed in view of supporting capacity development in innovation systems
The study relies on the activities performed within EU funded Horizon 2020 project, AgriSpin (www.agrispin.eu), specifically for the case of Cilento Bio-district in Campania region, Italy. The methodology is centred on the “cross-visit method” developed within the AgriSpin Project, based on direct observation, interviews with relevant actors and analysis of grey literature.
As part of the EU funded AgriSpin project (www.agrispin.eu), which aimed at “creating space for innovations” in agriculture across Europe, this contribution addresses the above mentioned knowledge gaps by a. elaborating a generic typology appropriate to capture the variety of ISS, b. structuring selected innovations along the degree of technological change and coordination levels, and c.
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.
In the AgriSpin project (2015-2017) fifteen organisations involved in innovation support tried to understand better how each of them made a difference in helping farmers to innovate. In principle, each partner organisation hosted a Cross Visits of 3 – 4 days, to present a number of interesting innovation cases in which it was involved. The visiting team, composed of colleagues from other partner organisations, interviewed key actors in each case, and gave feedback about pearls, puzzlings and proposals in these innovation processes.
It is adressed in this paper opportunities of Q Methodology for empirical agricultural innovation studies. In the systems perspective on innovation, multi-actor innovation networks are seen as a key strategy to successful innovation. Given the several types of actors involved, the scientific and policy literature points at the need for ‘innovation brokers’ to build capacity for collective innovation and prevent innovation network failures.