Society’s learning capacity in the field of sustainable land resource management is at stake and more emphasis on knowledge management is needed to guarantee that the accumulated knowledge is shared in such a way that the right actors have appropriate knowledge at the right time to take the best decisions. Efficient policies governing structures for national and regional knowledge management need to be formulated and the working procedures of the various actors in the field need to be defined more sharply.

Apart from the introduction and conclusion, the contents of this book are organised around a number of case studies, grouped into two main chapters.

The process of knowledge brokering in the agricultural sector, where it is generally called agricultural extension, has been studied since the 1950s. While agricultural extension initially employed research push models, it gradually moved towards research pull and collaborative research models. The current agricultural innovation systems perspective goes beyond seeing research as the main input to change and innovation, and recognises that innovation emerges from the complex interactions among multiple actors and is about fostering combined technical, social and institutional change.

The present manual provides a reference framework for the strategic and operational work in the field of capacity development. It is addressed to all staff of ADC in Austria as well as in the coordination offices, to non-governmental and implementing organisations, to stakeholders in partner countries, other donors and members of the public interested in development policy. 

This report refers to the workshop which was held on October 21-25, 2013 at ILRI Campus in Nairobi, Kenya. The workshop involved a variety of sessions which made use of presentations, card exercises, group work and discussions to facilitate the engagement of the participants in sharing, learning, discussing and planning around CapDev in CGIAR. This report provides an overview of the workshop sessions, focusing mainly on the key discussion topics, results and next steps.

ICTs are being increasingly used for Knowledge Management (KM) nowadays. In spite of this, rapid deployment of ICTs for KM is a major challenge. This paper explores the challenges in using ICT for KM using the case of “agropedia” – an ICT mediated knowledge management platform for Indian agriculture. The paper argues that KM is no more a technical challenge, but rather constrained by social and organizational barriers. Without initiating institutional and policy changes in addressing these barriers, KM continues to elude Indian agriculture.

This paper reviews the state of current scientific knowledge on the links between climate change, agriculture and food security, in terms of anticipating impacts, managing climate variability and risks, accelerating adaptation to progressive climate change, and mitigating greenhouse gas emissions from the agricultural sector.

This paper introduces the Multilevel Stakeholder Influence Mapping (MSIM) tool, which aims to assist analysts in the study of power dynamics across levels within climate adaptation regimes. The tool is adapted from the Stakeholder Influence-Mapping tool (2005) of the International Institute for Environment and Development (IIED). MSIM is a simple visual tool to examine and display the relative power/influence that different individuals and groups have over a focal issue—in this case, climate change adaptation of smallholder farmers.

This paper introduces a new research framework for social learning, to be able to derive ways to facilitate social learning. The authors report on an explorative interview study to substantiate the framework. One interesting conclusion was that hidden agenda’s were shown to undermine trust, which in turn undermined the social learning process. This explains the importance of openness for social learning. Research results show substantiate the research framework, and show that it can be used to derive methods to facilitate social learning. 

The CGIAR research program on livestock and fish aims to sustainably increase the productivity of small-scale livestock and fish systems so as to increase the availability and affordability of meat, milk and fish for poor consumers across the developing world. The purpose of this document is to lay out a Monitoring, Evaluation and Learning (MEL) Framework for the program. The Framework provides a concise narrative of why the M&E system is important, how it operates, what kinds of data it will collect and who is responsible for data collection and analysis.