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.
There is an ongoing debate on what constitutes sustainable intensification of agriculture (SIA). In this paper, we propose that a paradigm for sustainable intensification can be defined and translated into an operational framework for agricultural development. We argue that this paradigm must now be defined—at all scales—in the context of rapidly rising global environmental changes in the Anthropocene, while focusing on eradicating poverty and hunger and contributing to human wellbeing.
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.
As calls for bolstering environmental services on croplands have grown more insistent during the past two decades, the search for ways to foster sustainable, reduced input agriculture has become more urgent. In this context authors re-examine by means of a meta-analysis the argument, first proposed by Robert McC. Netting, that small scale, mixed crop – livestock farming, a common livelihood among poor rural peoples, encourages environmentally sustainable agricultural practices.
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.
The CGIAR Research Program on Integrated System for the Humid Tropics, or Humidtropics, works towards transforming the lives of the rural poor in several action sites in Asia, Africa and Tropical America. In doing so, different technologies and innovations were implemented and while at first the capacity development was going on almost intuitively, as an integrated part of the implementation process, it has soon become clear that such groundbreaking activities and ideas require a more organized and supervised approach.
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.
This brief is part of a series of ‘Legacy Products’ developed under the CGIAR Research Program on Integrated Systems for the Humid Tropics (Humidtropics – www.humidtropics.org ) to help CGIAR Research Programs integrate key ‘capacity development in systems’ concepts into their work. It introduces the rationale of capacity needs assessment, frameworks/steps and requirements.
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.