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Book of Abstract (incl. addendum) - IFSA symposium 2012

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Workshop 2.3 Systems thinking and practice in rural innovation: advances in concept,<br />

methodologies and interventions<br />

system should address an evolutionary process <strong>of</strong> capacity development which synchronizes required<br />

changes in the roles <strong>of</strong> individuals and organizations within a project context.<br />

Structural conditions for dynamic innovation networks: a review <strong>of</strong> eight<br />

European Agricultural Knowledge and Innovation Systems<br />

Frans Hermans, Laurens Klerkx and Dirk Roep<br />

Wageningen University, The Netherlands<br />

Frans.Hermans@wur.nl<br />

The relationship between collective stakeholder actions, social learning and rural innovation has<br />

become one <strong>of</strong> the pillars to work on radical transitions towards a more sustainable agricultural sector.<br />

It has become more and more recognized that many innovations are the result <strong>of</strong> intersectoral<br />

collaborations within flexible and dynamic innovation networks. In these networks, joint (or social)<br />

learning and negotiation takes place between different types <strong>of</strong> actors in processes <strong>of</strong> knowledge cocreation.<br />

However creating and fostering effective linkages among heterogeneous sets <strong>of</strong> actors is far from<br />

easy and is <strong>of</strong>ten hindered by different technological, social, economic and cultural divides. Such<br />

divides may be caused, for example, by different incentive systems for public and private actors,<br />

differences between local indigenous knowledge systems and formal scientific knowledge systems,<br />

social and cultural differences that cause exclusion <strong>of</strong> certain actors and ideological differences.<br />

In this paper we investigate the organisation and functioning <strong>of</strong> the formal AKS and how it can support<br />

or inhibit innovative bottom-up approaches to knowledge co-creation and social/joint learning.<br />

The paper will present a comparative analysis <strong>of</strong> the different types <strong>of</strong> arrangements <strong>of</strong> the<br />

Agricultural Knowledge Systems within eight different European countries (England, France,<br />

Germany, Hungary, Italy, Latvia, the Netherlands and Switzerland). We have investigated how the<br />

main actors interact within their respective innovation systems and how they are influenced by various<br />

institutional characteristics. Using an Innovation System Performance (ISP) matrix (Klein Woolthuis et<br />

al., 2005; van Mierlo et al., 2010) the main enablers and barriers with regard to collective action have<br />

been categorized.<br />

Results thus show how these institutional determinants can both support or inhibit joint learning<br />

and bottom-up innovation projects.<br />

Assessing the impact <strong>of</strong> uncertainty in automatic milking innovation systems<br />

- an international perspective<br />

Callum Eastwood and Sean Kenny<br />

University <strong>of</strong> Melbourne, Australia<br />

Callumre@unimelb.edu.au<br />

The use <strong>of</strong> automatic milking systems (AMS) is in an emergent phase in Australia with approximately<br />

15 farms using the system in 2011. Dairy Australia, an industry-good research and development<br />

organisation, has acknowledged a future role for this technology in the Australian dairy industry.<br />

However, successful uptake <strong>of</strong> automatic milking relies on farming system adaptation and existence <strong>of</strong><br />

appropriate technological, social, and institutional system configuration.<br />

An online survey <strong>of</strong> 85 AMS researchers and service providers was conducted internationally,<br />

followed by case studies <strong>of</strong> non-farmer experts in selected AMS markets (The Netherlands, Denmark,<br />

England, Ireland). Results from the online survey were used to form a basis for the semi-structured<br />

interview questions in the case studies. An innovation systems framework was used to analyse the<br />

results, with particular attention to the mediation <strong>of</strong> technological learning through structures and<br />

initiatives which reduce uncertainty associated with the innovation.<br />

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