The language of co-creation has become popular with policy makers, researchers and consultants wanting to support evidence-based change. However, there is little agreement about what features a research or consultancy project must have for peers to recognise the project as co-creative, and therefore for it to contribute to the growing body of practice and theory under that heading. This means that scholars and practitioners do not have a shared basis for critical reflection, improving practice and debating ethics, legitimacy and quality.

This chapter examines empirical results of evaluation reports from the AfrED database in order to unpack the relationship between the demand for evaluations and the capacities needed to meet that demand. The analysis further explores ways in which current M&E training and education provision can be enhanced to respond to capacity development needs. In achieving its objectives, the chapter also draws evidence from a secondary analysis of the results of a survey of evaluation practitioners’ perceptions of ECD challenges in the sector.

Climate change and climate variability are creating negative impacts to agriculture. It affects both food security and crop and livestock production. In the process, it affects the livelihood of communities. Climate-smart agriculture is seen as an alternative to mitigate the challenges of climate change. Literature studies were obtained from journal articles on capacity development. The problem investigated is that climate-smart agriculture (CSA) is a recent concept which needs to be understood with climate change, and the extension advisors do not have requisite skills.

How can the transition and transformation towards more sustainable food and agriculture (SFA) materialize at country-level? Who will own, drive and be committed to this process? How can the process be sustainable and reach scale? The practical, "how-to" contribution titled "System-Wide Capacity Development for SFA" attempts to answer these questions.

Agricultural Innovation Systems (AIS) approach, arise as tool for better understanding dynamics and complexity of agricultural innovation. The objective of this article is present a framework for AIS capability development, taking as a scientific reference, emerging economy countries experiences. A multi-dimensional methodology of literature review and content analysis is implemented, supported in bibliometric and data mining techniques.

Innovations are considered as a key driver for economic growth and increased competitiveness. Investments in agricultural research and development could generate not only economic and social effects but also environmental benefits. The study aims to analyse of agricultural innovation system in Bulgaria and the linkages with agricultural R&D to formulate conclusions and recommendation for future development. The paper presents some of the theoretical concepts of innovation systems and the role of R&D in the process.

Connecting science with policy has always been challenging for both scientists and policy makers. In Ghana, Mali and Senegal, multi-stakeholder national science-policy dialogue platforms on climate-smart agriculture (CSA) were setup to use scientificevidence to create awareness of climate change impacts on agriculture andadvocate for the mainstreaming of climate change and CSA into agriculturaldevelopment plans.