This is a chapter of the book Innovation platforms for agricultural development edited by Iddo Dror, Jean-Joseph Cadilhon, Marc Schut, Michael Misiko and Shreya Maheshwari.
Rapid appraisal of agricultural innovation systems (RAAIS) is a participatory, diagnostic tool for integrated analysis of complex agricultural problems. RAAIS facilitates interaction between different groups of stakeholders in collecting and analysing data. The poster briefs what RAAIS is, when to use it, what is available and where it has been used.
Capacity development (CapDev) is increasingly acknowledged as a crucial part of agricultural development. In the CGIAR Strategic Results Framework (SRF), CapDev is included as a ‘cross-cutting issue’ and as a strategic enabler of Research for Development (R4D) impact for CGIAR and its partners. It goes far beyond the transfer of knowledge and skills through training, and cuts across multiple levels.
The international workshop on Agricultural Innovation Systems in Africa (AISA) was held in Nairobi, Kenya, on 29–31 May 2013. Its main objectives were to learn jointly about agricultural innovation processes and systems in Africa, identify policy implications and develop policy messages, and explore perspectives for collaborative action research on smallholder agricultural innovation.The workshop focused on sharing experiences in trying to understand and strengthen multi-stakeholder innovation processes and the role of smallholders in innovation, and identifying and discussing priorities an
Agricultural innovation systems are complex, multi-layered, and can be difficult to define and analyse. In this paper, we provide examples of ‘systems analysis’: describing the context, what was done, and how the outcomes informed broader research and development activities. The five cases describe analyses of: i) agricultural systems in North-West Vietnam; ii) household food security in Central Vietnam; iii) agricultural innovation systems in Central Africa; iv) wheat commodity systems in Sub-Saharan Africa, and v) the national agricultural research system in Papua New Guinea.
Innovation platforms are fast becoming part of the mantra of agricultural research and development projects and programs with an innovation objective.
Innovation Platforms (IPs) have become a popular vehicle in agricultural research for development (AR4D). The IP promise is that integrating scientific and local knowledge results in innovations that can have impact at scale. Many studies have uncovered how IPs work in various countries, value chains and themes. The conclusion is clear: IPs generate enthusiasm and can bring together stakeholders to effectively address specific problems and achieve ‘local’ impact.
This poster has been developed by the International Institute of Tropical Agriculture (IITA) and Wageningen University (WUR) under the CGIAR research program on Roots Tubers and Banana (RTB) and describes shortly the science-based methods to identify and overcome bottlenecks for scaling of innovation. It breaks down innovation packages and analyses its individual technological, policy, market and partnership components along a 9-Level Scaling Readiness Ladder science-based methods to identify and overcome bottlenecks for scaling of innovation
Although much has been written on how to implement and facilitate innovation platforms efficiently, few studies support ex-ante appraisal of when and for what purpose innovation platforms provide an appropriate mechanism for achieving development outcomes, and what kinds of human and financial resource investments and enabling environments are required. Without these insights, innovation platforms run the risk of being promoted as a panacea for all problems in the agricultural sector.
Despite the positive attributions ascribed to Digital Platforms (DPs), empirical studies that explore the role of DPs in smallholder credit access are lacking, particularly that which takes into account the dynamics of trust in complex actor interactions in the value chain. Consequently, it remains unclear whether, and how DPs influence trust and actor cooperation in value chain financing of maize production in Ghana.