Aujourd’hui 60% des 870 millions de personnes qui souffrent de la faim dans le monde sont des femmes et des filles qui vivent principalement dans les zones rurales du Sud. Pourtant, la Fao estime que les femmes produisent 60 à 80% des aliments de consommation familiale dans la plupart des pays en développement et sont responsables de la moitié de la production alimentaire mondiale ! Ce quarantième numéro de Dajaloo donne la parole à ces femmes qui ASSURENT!
Les changements climatiques sont intimement liés à l’agriculture et à la sécurité alimentaire. En effet, on peut considérer l’agriculture à la fois comme acteur, victime et sauveur des changements climatiques. Malgré ce triple rôle évident, l’agriculture n’apparait pas en tant que telle dans les négociations.
This regional workshop was designed to strengthen the capabilities of representatives of NIFUs for analyzing the situations of their NAIS, and to use their national experiences to identify strengths, weaknesses, and threats/challenges affecting seven key areas influencing development of NAIS, namely: (i) strategy/policy, (ii) institutional aspects, (iii) stakeholders, (iv) content, (v) people, (vi) infrastructure, and (vii) financial aspects. Possible solutions for the key weaknesses and threats /challenges were defined by participants.
This free Massive Open Online Course (MOOC) on Open Data Management in Agriculture and Nutrition was first created in 2016. The course was delivered 5 times between November 2017 and November 2018, reaching over 5000 people globally, before being made available for unrestricted use
Ce cours en ligne massif (MOOC) gratuit sur la gestion des données ouvertes en agriculture et nutrition a été créé en 2016. Déjà en 2017 et 2018, plus de 5000 participants de partout dans le monde ont déjà suivi cette formation, laquelle est maintenant disponible pour une utilisation gratuite et sans restriction.
El Curso Masivo en Línea (MOOC) gratis sobre la Gestión de Datos Abiertos en Agricultura y Nutrición fue creado originalmente en el año 2016. El curso fue dado 5 veces entre Noviembre del 2017 y noviembre del 2018, alcanzando a más de 5000 personas mundialmente, antes de ser hecho disponible para su uso sin restricciones.
This report describes the 2012 NAIS Assessment was piloted in 4 countries: Botswana, Ghana, Kenya and Zambia. Data were collected through a survey questionnaire, open-ended interview questions, and data mining of secondary sources. A team led by a national coordinator took charge of data collection from various partner organizations in each country.
Managers and policy makers have struggled to develop effective monitoring systems to track the evolution of research organizations. This paper presents the first components of a novel monitoring system for monitoring such organizations. These components can be used to generate detailed static pictures of the actual activities and partnerships of a large research program or organization, in other words, what the organization is actually doing, with whom, where, how and for what purpose.
The extensive case study on ‘Improving Public Agricultural Extension Services in Bangladesh Using the M4P Approach’ illustrates Katalyst project’s experience in terms of designing interventions in the Local Government Services (LGS) sector, from testing them in small scale towards scaling-up and the accompanying challenges. The case study shows how innovative public-private partnerships create a vast impact on the lives of poor farmers in Bangladesh.
The success of multi-stakeholder ARD (Agricultural Research for Development) partnerships is often attributed to stakeholder interaction and knowledge exchange, collective learning and establishment of mutual trust between the partners involved. Achieving these outcomes depends very much on the leadership of the partnership, and how this leadership relates to partnership facilitation and also project coordination and/or management. This brief explores the different skills and attitudes required by leaders of ARD partnerships, and how these relate to different contexts.