This paper, presented at the 8th European IFSA Symposium ( Workshop 6: "Change in knowledge systems and extension services: Role of the new actors") in 2008, discusses the FutureDairy project, which is developing more productive forage and feeding systems and testing technical innovations such as robotic milking in Australian pasture based dairy systems.
This paper shows there is a fundamental significance of Social Learning to agricultural innovation, which can be operationalized by framing agricultural innovation as changes in understanding, practices and relationships. The use of Social Learning as a design framework supports the emergence of agricultural innovations that bring equitable benefits, are sustainable and are innovated in context.
While privatization of extension has received considerable attention with respect to implications for public and private good, less consideration has been given to structural and relational implications for knowledge sharing.
Accountability pressure to demonstrate how research for development projects will bridge the ‘output - outcome gap’ and achieve impacts ‘at scale’ has increased. Consequently, efforts to develop ‘Theory of Change’ (ToC) and impact pathways that steer programs and projects to outcomes have grown within Australia’s Official Development Assistance (ODA) strategy. In response, the cross agency Food Systems Innovation (FSI) initiative piloted the use of ToC thinking within Australian Centre for International Agricultural Research (ACIAR).
This paper is an inquiry into the process of setting up a national, multi-stakeholder project collaboration aimed at stimulating the role of the private sector in the Australian agricultural extension and innovation systems.
The policy implications of cumulative innovation are essential to consider in order to mitigate risk and capitalise on opportunities as digitalisation transforms agriculture. One project that involves imagining the future of the sector and aims to develop the necessary tools and infrastructure is the Australian Commonwealth Scientific and Industrial Research Organisation (CSIRO) Digiscape Future Science Platform (FSP). This paper explores the policy framework encompassing these tools and elucidates considerations for future governance in Australia.
This paper presents results from an action research intervention aimed at strengthening the role of private sector advisers in the Australian agricultural extension system. Private sector advisers participating in the research identified a number of barriers to their effective inclusion in this system.
Given the diversity and context-specificity of innovation systems approaches, in March 2007 the World Bank organized a workshop in which about 80 experts (representing donor agencies, development and related agencies, academia, and the World Bank) took stock of recent experiences with innovation systems in agriculture and reconsidered strategies for their future development. This paper summarizes the workshop findings and uses them to develop and discuss key issues in applying the innovation systems concept. The workshop’s recommendations, including next steps for the wider
Innovation has become the promising concept to overcome problems and enhance agricultural performance in agricultural research and policies. In the past, innovation was mainly seen as being developed by science or enterprises, and only recently the focus has shifted from a linear to a systemic perception, acknowledging that innovation is a dynamic process that implies the participation of a diversity of stakeholders. Consequently the role of multiple stakeholders, including farmers, in the innovation process receives more attention.
The private sector’s presence in agricultural advisory services worldwide has been on the increase for over three decades. This trend has also been observed in the Mantaro Valley (Peru), in a context of dairy family farming. The objective of the communication is to analyse the modalities of advisory services privatization and assess the consequences of this privatization for the farmers and their livestock systems. Data were collected through input suppliers, different types of advisers and producers interviews.