This reports highlights social learning as an essential aspect in dealing with the complexities around climate change and uncertainty in food production. It is not just about adapting to these complexities, it is actually about implementing tranformative changes. 

This training-of-trainers manual is designed to train you to be able to deliver a capacity enhancement workshop (CEW) to rural women on climate change and gender. It has been designed by the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) and is appropriate to the South Asian context.

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.

The working paper presents a new toolkit for the implementation of a participatory vulnerability assessment (PVA) in rural localities, by introducing the methodology, as well as the findings, from a pilot study in Sokoine (Zepisa, Hombolo Ward) in Tanzania. It is based on a participatory methodological approach and follows a multidimensional conceptualisation of social vulnerability to climate change.

This study assessed intermediate results of an investment intended to support climate change adaptation and resilience-building among farmers’ cooperatives in Rwanda. The assessment was based on a purposive sampling survey of farmers’ perspectives conducted in sites in 10 programme intervention districts of the country’s 30 districts.

The Climate Change and Social Learning (CCSL) Initiative is a cross-organisation group working to build a body of evidence on how social learning methodologies and approaches contribute towards development targets. Together with a select number of participating initiatives from a variety of organisations, we are working towards establishing a common monitoring and evaluation (M&E) framework for new projects and programmes using a social learning-oriented approach.

This report describes the work carried out by Institute of International Agriculture (IITA) and Olam in the Mt. Elgon region in Uganda to develop climate-smart agricultural (CSA) practices to help farmers to manage the specific effects of weather variability/climate change to that region and lay them out in a “Stepwise” pathway tailored to specific farmer segments to help them make smarter and more timely investment in resilience building practices.

This working paper summarizes the findings of a portfolio review conducted to explore the gender and youth responsiveness of climate-smart agriculture technologies tested across climate-smart villages. The innovative and integrative aspect of the Climate-Smart Village (CSV) approach can provide useful insights into how to decrease the gender gap in the context of climate change.