The global impacts of the climate crisis are becoming ever clearer, and natural resources and ecosystems are being depleted. Despite some progress, hunger and poverty persist, and inequalities are deepening. The world is realizing that unsustainable high external inputs and resource-intensive industrialized systems pose a real danger of biodiversity loss, increased greenhouse gas emissions, shortages of healthy food, and the impoverishment of dispossessed peasants around the world.
Multi-actors innovation platforms (MAIPs) are increasingly deployed as a model for participatory and inclusive innovation to address the challenges of sustainability in complex systems like the agri-food systems. The facilitation of co-innovation and multi-actor partnerships is critical to the success of MAIPs, as a common lesson learned across the multitude of initiatives around the world. The guideline was developed for Master Trainers to train MAIP facilitators. The guideline first gives an introduction to the definiton, principles, design, establishment and facilitation of MAIPs.
El Proyecto "Desarrollo de capacidades para los sistemas de innovación agrícola: ampliación del marco común de la Plataforma de Agricultura Tropical" (en resumen, Proyecto TAP-AIS) es implementado por la Organización de las Naciones Unidas para la Alimentación y la Agricultura (FAO) en países de África (Burkina Faso, Malawi, Eritrea, Ruanda, Senegal), América Latina (Colombia), Asia y el Pacífico (Camboya, Lao PDR, Pakistán), con el objetivo estratégico de contribuir al fortalecimiento de capacidades para fomentar, reconocer y fortalecer la innovación rural en el contexto de la transformaci
The co-creation and sharing of knowledge among different types of actors with complementary expertise is known as the Multi-Actor Approach (MAA). This paper presents how Horizon2020 Thematic-Networks (TNs) deal with the MAA and put forward best practices during the different project phases, based on the results of a desktop study, interviews, surveys and expert workshops. The study shows that not all types of actors are equally involved in TN consortia and participatory activities, meaning TNs might be not sufficiently demand-driven and the uptake of the results is not optimal.
Many United Nations Entities are leveraging innovative approaches ranging from data, artificial intelligence, drones and the internet of things, to low-carbon technologies, climate smart agriculture and nature-based solutions to help people around the world mitigate and adapt to climate change. This compendium explores these innovative approaches leveraged in the following areas: AIR; ENERGY; FORESTS; LAND; WATER; FOOD SYSTEMS; CITIES & LIFESTYLES; GREEN ECONOMY; DISASTERS & CONFLICTS; CAPACITY STRENGTHENING; ADVOCACY.
Even prior to COVID, there was a considerable push for food system transformation to achieve better nutrition and health as well as environmental and climate change outcomes. Recent years have seen a large number of high visibility and influential publications on food system transformation. Literature is emerging questioning the utility and scope of these analyses, particularly in terms of trade-offs among multiple objectives.
In the rapidly changing context of agri-food systems, extension and advisory services (EAS) are expected to provide new roles and services that go well beyond the traditional production-related technology transfer. Consequently, pluralistic EAS systems with diverse actors have emerged with diverse actors, including private and civil society organisations. These multiple EAS actors must adopt innovative entrepreneurship models if they are to act proactively and respond to the increasing diversity of farmers’ demands while staying independent and sustainable.
This note is a preview on the agricultural innovation systems (AIS) assessment methdology which is being tested in the nine countries of the European Union-funded TAP-AIS DeSIRA project. It presents the rationale, the steps, ethe expected outputs and outcomes.
Assessing or understanding the agriculture innovation system (AIS) is an essential step to better understand the needs, new skills and functions needed by the actors and the system. To accelerate the uptake of innovation and progress towards eradicating poverty, there is an urgent need for well-coordinated, demand-driven, and market-oriented information, knowledge, technologies and services.
Agricultural Internet of Things (IoT) has brought new changes to agricultural production. It not only increases agricultural output but can also effectively improve the quality of agricultural products, reduce labor costs, increase farmers' income, and truly realize agricultural modernization and intelligence. This paper systematically summarizes the research status of agricultural IoT. Firstly, the current situation of agricultural IoT is illustrated and its system architecture is summarized. Then, the five key technologies of agricultural IoT are discussed in detail.