Innovation platforms are advocated as a promising way to find solutions to complex problems, such as those in agriculture and natural resource management. As social, economic and environmental problems grow ever more complex, researchers need
to engage more actively with stakeholders such as farmers, development practitioners and policymakers to explore, design and implement solutions. Innovation platforms offer them an opportunity to do so.
Growing local and informal markets in Asia and Africa provide both challenges and opportunities for small holders. In developing countries, market failures often lead to suboptimal performance of the value chains and limited and inequitable participation of the poor. In recent years, innovation platforms have been promoted as mechanisms to stimulate and support multistakeholder collaboration in the context of research for development. They are recognized as having the potential to link value chain actors, and enhance communication and collaboration to overcome market failures.
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.
This paper describes the learning selection approach to enabling innovation that capitalizes on the complexity of social systems at different scales of analysis. The first part of the paper describes the approach and how it can be used to guide the early stages of setting up a “grassroots” innovation process. The second part of the paper looks at how the learn selection model can be used “top-down” to guide research investments to trigger large-scale systemic change.
Research, extension, and advisory services are some of the most knowledge-intensive elements of agricultural innovation systems. They are also among the heaviest users of information communication technologies (ICTs). This module introduces ICT developments in the wider innovation and knowledge systems as well as explores drivers of ICT use in research and extension.
The presentation was given in January 2009 and introduced why a new approach for livestock development for poverty alleviation was desirable, innovation, innovation systems and value chains, building of innovation platforms, learning-oriented monitoring and evaluation, and scaling up and out.
This film describes the role of capacity development in accelerating adoption of new technologies and innovations in the CGIAR Research Program on Integrated Systems for the Humid Tropics.
This gender and social inclusion strategy is designed to support the sustainable and equitable delivery of Bioversity International’s institutional vision and mission. It will promote gender-responsive and socially inclusive practices into all research-for-development practices in the organization, to contribute to narrowing the gender and equity gaps in the management of and benefit sharing from agricultural and tree biodiversity.
Automation of essential processes in agriculture is becoming widespread, especially when fast action is required. However, some processes that could greatly benefit from some degree of automation have such difficult characteristics, that even small improvements pose a great challenge. This is the case of fish disease diagnosis, a problem of great economic, social and ecological interest. Difficult problems like this often require a interdisciplinary approach to be tackled properly, as multifaceted issues can greatly benefit from the inclusion of different perspectives.
International partnership to carry out collaborative research and development programs has been implemented for a long time. However, with globalization, the economic, social, political and cultural diversity of interacting partners reached levels where this variety of collaborators often has shown some weaknesses in issues like governance. Strong and sound partnerships must be manageable in order to ensure the achievement of the set objectives.