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.
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...
This paper briefly analyse the genesis, development and change in public sector-led extension approaches in India showing its temporal pattern, emerging innovations in extension approaches and the way forward. It discusses decentralized, community based, pluralistic extension approaches and their opportunities...
Given the search for new solutions to better prepare cities for the future, in recent years, urban agriculture (UA) has gained in relevance. Within the context of UA, innovative organizational and technical approaches are generated and tested. They can be...
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...
Change in Traditional Ecological Knowledge (TEK) is not easily understood in terms of Western innovation discourses. In fact, innovations in the sense of modern and growth-oriented technologies are common sources for the erosion of TEK. This article brings together current...