The CGIAR Research Program on Aquatic Agricultural Systems (AAS) is a research in development program which aims to foster innovation to respond to community needs, and through networking and social learning to bring about development outcomes and impact at scale. It aims to reach the poorest and most vulnerable communities that are dependent upon aquatic agricultural systems. AAS uses monitoring and evaluation to track progress along identified impact pathways for accountability and learning.
The project Empowering Women Fish Retailers (EWFIRE) Project. Funded by the European Commission (EuropeAid), the project supports vulnerable women retailers and processors to develop their businesses in five urban areas across the Sharkia governorate, lower Egypt (Zagazig, Faous, Belbeis, Al-Hussainyaand Abu-Kebeer).
The COVID-19 pandemic and accompanying responses to mitigate this global health crisis have resulted in substantial disruptions to demand, production, distribution and labor in fisheries, aquaculture and food systems. These disruptions have severely impacted women processors and traders, who play a critical role in the fisheries and aquaculture sectors and associated food systems in sub-Saharan Africa. And yet, COVID related data and responses have tended to be gender-blind or overly representative of men’s experiences and needs in the sector.
An evidence policy brief on the contribution of small-scale fisheries to a healthy and sustainable food system in Malawi.
This brief provides an overview of the monitoring and evaluation (M&E) system of the CGIAR Research Program on Aquatic Agricultural Systems (AAS) and describes how the M&E system is designed to support the program to achieve its goals. The AAS program aims to improve the lives of 22 million people dependent upon aquatic agricultural systems by 2024 through research in development.
L’agriculture mondiale est confrontée à de nombreux défis en termes de souveraineté alimentaire. Il s’agit d’abord d’assurer un accès équitable à la nourriture et aux produits agricoles de première nécessité pour une population mondiale croissante. Il s’agit ensuite d’inclure la production agricole dans une perspective plus générale de lutte contre la pauvreté, l’inégalité et la malnutrition dans le monde. Il s’agit enfin de contribuer à une gestion plus durable des ressources naturelles et agricoles et de la biodiversité.
Cet article présente et décrit le contenu d’une base de données construite à partir d’une enquête menée dans le gouvernorat de Sidi-Bouzid, situé dans le centre de la Tunisie. Sur ce territoire en transition, le secteur agricole, qui tient une place prédominante dans l’activité économique, est caractérisé par la diversité de ses exploitations, aussi bien sur le plan organisationnel (main-d’œuvre familiale ou salariée à dominante féminine) que technique (présence d’infrastructure d’irrigation, de culture sous-abri).
While vaccination campaigns against COVID-19 were launched worldwide, a drama has been unfolding in the Moroccan countryside. It has been marked, over the last couple of decades, by rapid agrarian transformation, manifestations of which have included expanding irrigation frontiers and the increasing growth of high-value crops. These dynamics rely strongly on female agricultural wageworkers. Although they earn low wages, their income is crucial and is used to care for loved ones by paying for school fees, rent, electricity, and medicines.
De nombreux agriculteurs africains pratiquent des formes d'agriculture potentiellement qualifiables de "?biologiques?". Pourtant, la capacité de l'agriculture biologique à répondre aux enjeux de la sécurité alimentaire en Afrique est encore mal connue, car il existe peu de références expérimentales disponibles dans cette région. L'élicitation probabiliste est une méthode permettant de rendre compte de manière précise des connaissances d'experts sur une ou plusieurs quantités d'intérêt, et de décrire les niveaux d'incertitude associés.
This paper analyses a monitoring, evaluation and learning (MEL) system developed within an agricultural research for development institution. The system applies aspects of the Outcome Harvesting tool and focuses on learning for adaptation and improvement of innovation processes. Developmental evaluation principles are applied to discuss its application. The MEL system provides insight into the processes and interactions with next users that generate outcomes.