Research on next generation agricultural systems models shows that the most important current limitation is data, both for on-farm decision support and for research investment and policy decision making. One of the greatest data challenges is to obtain reliable data on farm management decision making, both for current conditions and under scenarios of changed bio-physical and socio-economic conditions.
The impact of the COVID-19 pandemic will vary for different groups of rural population, with the highest impact expected to be on farmers and other vulnerable groups, especially women and youth. Targeted support is feasible only by activating a network of actors or organizations within agricultural innovation systems (AIS) and promoting customized technologies and practices suitable for location specific contexts.
This case study demonstrates how change agents can utilize networked learning communities (NLCs) with shared leadership to provide the structural supports for learning and influence the implementation of innovations within a social system. Our focus is the Department of Defense Education Activity (DoDEA), a large school system operating 164 accredited schools domestically and internationally.
This paper provides a chronology and overview of events and policy initiatives aimed at addressing irrigation sustainability issues in the San Joaquin River Basin (SJRB) of California. Although the SJRB was selected in this case study, many of the same resource management issues are being played out in arid, agricultural regions around the world.
The Worldwide Extension Study provides empirical data on the human and financial resources of agricultural extension and advisory systems worldwide, as well as other important information on: the primary extension service providers in each country (e.g.: public, private and/or non-governmental); which types and groups of farmers are the primary target groups (e.g.: large, medium, and/or small-scale farmers, including rural women) for each extension organization; how each organization’s resources are allocated to key extension and advisory service functions; each organization’s information a
Social learning in multi-actor innovation networks is increasingly considered an important precondition for addressing sustainability in regional development contexts. Social learning is seen as a means for enabling stakeholders to take advantage of the diversity in perspectives, interests and values for generating more sustainable practices and policies. Although more and more research is done on the meaning and manifestations of social learning, particularly in the context of natural resource management, little is known about the social dynamics in the process of social learning.
Explicitly integrating reflection in the learning process of multi-stakeholder processes (MSPs) increases the likelihood that purposeful change will occur. When reflectivity is made part of learning in MSPs, learning will become clearer and better articulated and it will contribute more strongly to purposeful change in a complex context. MSP facilitators should deliberately include reflective learning sessions and tools in the process design and implementation.
The purpose of the paper, using a comprehensive innovation systems failure framework, is to assess the performance of agrifood innovation systems of Scotland and the Netherlands, through analysis of the key innovation actors (organisations, networks or influential individuals), and their key functions (research provider, intermediary etc), and those mechanisms that either facilitate or hinder the operation of the IS (known as inducing and blocking mechanisms, respectively).
The emergence of a globalised knowledge economy, and the contemporary views of innovation capacity that this trend enables and informs, provides a new context in which development assistance to agricultural research and development needs to be considered. The main argument in this paper, which focuses on The Netherlands, is that development assistance should use this emerging scenario to identify niches where inputs can add value to the R&D investments of others, particularly in activities that help wire up innovation systems, linking R&D to other activities and actors in society.
This paper contributes to the ongoing discussion in the scientific literature on the advantages and disadvantages of privatization of extension and advisory services and the shift from thinking in terms of the traditional Agricultural Knowledge System towards a broader Agricultural Innovation System.