The aim of the study was to strengthen the capacities of the farmers in a participatory process to adapt to climate change. It was assumed that an innovation platform could support generation and exchange of knowledge on climate change, exchange and identification and implementation of options for adaptation tailored to local needs by the participating farmers

This methodological framework is based on Life Cycle Assessment (LCA) and multi-criteria assessment methods. It integrates CSA-related issues through the definition of Principles, Criteria and Indicators, and involves farmers in the assessment of the effects of CSA practices. To reflect the complexity of farming systems, the method proposes a dual level of analysis: the farm and the main cash crop/livestock production system. After creating a typology of the farming systems, the initial situation is compared to the situation after the introduction of a CSA practice.

Climate-smart agriculture (CSA) is an approach to help agricultural systems worldwide, concurrently addressing three challenge areas: increased adaptation to climate change, mitigation of climate change, and ensuring global food security – through innovative policies, practices, and financing. It involves a set of objectives and multiple transformative transitions for which there are newly identified knowledge gaps. We address these questions raised by CSA within three areas: conceptualization, implementation, and implications for policy and decision-makers.

Year 1 activities were mainly on establishment of the project team at the global and country levels. A Partnership Agreement between AGRINATURA-EEIG and FAO was formalized and signed, and practical coordination mechanisms established. A Specific Power of Attorney between AGRINATURA-EEIG members within CDAIS was created, agreed and signed by all members, serving as the consortium agreement among members.

A conceptual framework that promotes an integrated and comprehensive approach to Capacity Development for Agricultural Innovation Systems (CD4AIS Framework) was developed in Year 1 of the project. It argues that for innovations to emerge, functional capacities are needed. There are 4 functional capacities i.e. capacity to navigate complexity, to collaborate, reflect and learn and engage in strategic and political process. These capacities should be inherent within individuals, organisations, systems level (local and national level including policy systems).

The ANNEX of the report can be found under this link: https://cdais.net/wp-content/uploads/2019/07/Final-mid-term-evaluation-r...

Angola has so much potential as an agricultural country, with up to 50 million hectares that could be cultivated. But why

There was a need for change in agricultural development in Angola, and CDAIS has been appreciated. Results show positive outcomes in a number of areas, including the acceptance of the benefits of strengthening functional capacities across different levels. And, although it is still too early to see the full benefits of the approach, many involved said they would continue to apply it in their other activities. This story begins with views and experiences from rice growers and their partners, as an example of one of the three innovation niche partnerships in Angola.