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.
Este curso tiene como objetivo orientar a los actores de los Estados Miembros en el fortalecimiento efectivo de las capacidades nacionales y garantizar que los programas y proyectos conduzcan a un cambio verdaderamente efectivo y sostenible. Reúne los conocimientos, las herramientas y las lecciones aprendidas de las actividades de la FAO.
Duración del curso: 2 horas
Agriculture 4.0 is comprised of different already operational or developing technologies such as robotics, nanotechnology, synthetic protein, cellular agriculture, gene editing technology, artificial intelligence, blockchain, and machine learning, which may have pervasive effects on future agriculture and food systems and major transformative potential. These technologies underpin concepts such as vertical farming and food systems, digital agriculture, bioeconomy, circular agriculture, and aquaponics.
Agriculture 4.0 is comprised of different already operational or developing technologies such as robotics, nanotechnology, synthetic protein, cellular agriculture, gene editing technology, artificial intelligence, blockchain, and machine learning, which may have pervasive effects on future agriculture and food systems and major transformative potential. These technologies underpin concepts such as vertical farming and food systems, digital agriculture, bioeconomy, circular agriculture, and aquaponics.
Multi-stakeholder participation (MSP) has become a central feature in several institutions and processes of global governance. Those who promote them trust that these arrangements can advance the deliberative quality of international institutions, and thereby improve the democratic quality, legitimacy and effectiveness of both the institutional landscape, as well as decisions made within it. This paper employs a heuristic framework to analyze the deliberative quality of MSP.
This document presents the set of thirty Food System Regional Reports developed within WP3 of the SALSA project. This is the first out of the three deliverables planned for this WP.
This document presents the small farm typologies developed from SALSA's sample (n=892) and provides a detailed comparative analysis on the key characteristics and livelihood strategies of each of the types, identifying similarities, differences and trends.
This document presents an in-depth comparative assessment of the local and regional food systems analysed in SALSA. Its aim is to improve the understanding of the current and potential role of SF in regional Food and Nutrition Security (FNS). This deliverable is a synthesis report on the main insights gained from the analysis completed for the 30 reference regions.
The present document is the first deliverable from SALSA's Work Package 4 which includes, after an introductory section that explains the methodological approach and the workshops' preparatory process, a compilation of 11 reports from each region where the foresight analysis was undertaken. Each regional report contains the main outcomes from these foresight activities on the future potential role of small farms and small food businesses in food and nutrition security.
The present document is the second deliverable from SALSA's Work Package 4. It contains the comparative analysis carried out from the 13 regional reports (collected in D4.1) that were gathered from the outcomes of the participatory foresight workshop conducted in 13 different regions in Europe and Africa.