The term ‘systemic innovation’ is increasing in use. However, there is no consensus on its meaning: four different ways of using the term can be identified in the literature. Most people simply define it as a type of innovation where value can only be derived when the innovation is synergistically integrated with other complementary innovations, going beyond the boundaries of a single organization. Therefore, the term ‘systemic’ refers to the existence of a co-ordinated innovation system.
The objective of this paper is to review both supply- and demand-side measures for climate-smart agriculture and discuss their interlinkages, trade-offs, and context- and site-specific validity. The literature reviewed focuses on studies during the last decade (2008–2017) addressing food- and feed-related measures. Based on the literature review, potentials for different measures are identified and mapped across the globe using representative datasets.
The efforts to adapt to climate change in developing countries are in their infancy, and hopefully CSA will be a major contributor to these efforts. But CSA itself is evolving, and there is a growing need to refine and adapt it to the changing realities. This section of the book focus on the implications of the empirical findings for devising effective strategies and policies to support resilience and the implications for agriculture and climate change policy at national, regional and international levels.
The chapter presents a research for development program’s shift from a Logframe Approach to an outcome and results-based management oriented Monitoring, Evaluation and Learning (MEL) system. The CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) is designing an impact pathway-based MEL system that combines classic indicators of process in research with innovative indicators of change. The chapter presents the approach to theory of change, impact pathways and results-based management monitoring, evaluation and learning system
The CSIRO Agriculture and Food & the CGIAR Independent Science and Partnership Council (ISPC) Secretariat are collaborating to explore the nature of agri-food systems innovation and impact. This workshop report is a record of the key outcomes from a workshop held on the 14-15 December 2016 in Canberra, Australia
The purpose of the study was to try and get a snapshot of broad patterns and trends, identify emerging issues that warrant further investigation and, more importantly, use these initial findings to start a wider discussion on business-led innovation and the SDGs, and the pathway for accelerating this.The survey was sent out to all members of Global Initiatives Responsible Business Forum (RBF) Network in November 2016.
Innovation Platforms are increasingly being proposed and used in agricultural research for development project and programs. Innovation Platforms provide space to farmers, agricultural service providers, researchers, private sector and other stakeholders to jointly identify, analyse and overcome constraints to agricultural development. Although innovation platforms have been successful in addressing agricultural challenges, there is a risk that they are promoted as a panacea for all problems in the agricultural sector... which would clearly be a big mistake.
The objective of this report is to assess the usefulness of providing guidance for scaling up good practices in core ARD business lines, and to test the prospects for doing so. The output of the document is a guide for a systematic discussion on scaling up of Competitive Grant Schemes (CGSs) for agricultural research and extension at key decision points during the life of an ARD project. This report addresses the other end of the state-of-practice spectrum - good practices and beyond.
The biodiversity of food plants is vital for humanity's capacity to meet sustainability challenges. This goal requires the rigorous integration of plant, environmental, social and health sciences. It is coalescing around four thematic cornerstones that are both interdisciplinary and policy relevant.
Background: Opportunities to use data and information to address challenges in international agricultural research and development are expanding rapidly. The use of agricultural trial and evaluation data has enormous potential to improve crops and management practices. However, for a number of reasons, this potential has yet to be realized.