These Proceedings report on the second International Conference of the Convergence of Sciences (CoS) programme in Elmina (2009). The first International Conference was four years earlier in the same location, where it was discussed how to follow up on the findings of the first CoS Programme phase (entitled CoS1 running from 2001 to 2006). The Conference was intended to introduce the focus on “innovation systems”, and how to enhance these systems for smallholder farmers’ development.
This paper discusses the challenges and determinants of agro-operations and innovation initiatives in developing countries. With particular reference to the Caribbean region, available country statistics and data are analysed. A generic model of collaborative innovation for agriculture that stresses collaboration among the stakeholders (government, knowledge institutions, public and private firms and others) is described.
The objective of this paper is to analyse the olive oil value chain (OVC) in the Governorate of Medenine (south-east of Tunisia) and the relationships between its main operators for an effective involvement and better performance and resilience of olive sector. Based on semi structured interviews and participatory multi-stakeholders’ workshops, OVC has been analysed and described. MACTOR approach has been applied to establish linkages among chain operators and activities in a partnership approach.
This paper aims to develop a vision statement for the agricultural sector that may then guide the future investments in Chile's agricultural innovation system, A joint and shared perspective on how the sector might look and what role agricultural innovation should play in getting there is a prerequisite for any effective strategy. But developing such a vision is not only a function of what the country wants: it also depends on the context in which Chile's agricultural sector will find itself.
Presented at the ‘Building Livelihoods Resilience in a Changing Climate’ conference, Kuala Lumpur, 3-5th March 2011, this paper focuses on the Local Adaptive Capacity framework (LAC), developed under the Africa Climate Change Alliance Project (ACCRA), as an innovative initiative that attempts to move towards a better understanding of its core features through isolating five characteristics of adaptive capacity. Demonstrated through findings from field research across three African countries (Ethiopia, Mozambique and Uganda), this paper argues that frameworks for understanding and supporting
In this paper, presented at the 8th European IFSA Symposium ( Workshop 6: "Change in knowledge systems and extension services: Role of the new actors") in 2008, the authors discuss a conceptual framework that understands innovation processes as the outcome of collaborative networks where information is exchanged and learning processes happen. They argue that technical and economic factors used to analyse drivers and barriers alone are not sufficient to understand innovation processes.
The timeline tool is generally put to use when stakeholders embark upon the self-assessment phase of their innovation partnership. Stakeholders are asked to recall moments they feel were significant for the partnership, from its beginning to the present and to reflect upon how the partnership has evolved since it began.
Social Network Analysis is a practical and useful tool that looks at the linkages present in an innovation network and monitors their development over time. It maps the relationships between the stakeholders in the network and highlights the changes between them.
This tool enables participants to become cognisant of the functional capacities discovered through the capacity scoring questionnaire, and test the limits of these capacities through simulations or role-playing (e.g. problem-solving, collaboration, information sharing, and engagement). The simulation game leads to an intuitive understanding of innovation capacities and of the importance of the enabling environment, helping participants to learn about the significance of these capacities.
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.