The FAO elearning Academy, which is the result of a collaborative effort involving over 300 partners throughout the world, offers over 500 multilingual elearning courses free of charge, as a global public good. In addition to the self-paced courses, the FAO elearning Academy offers free international technical webinars, Massive Open Online Courses, mobile learning solutions, and various learning initiatives and events.
Digital Technologies for the SDGs
CO2 monitoring from space is becoming an increasingly important and relevant capability in support of climate studies and to inform policy decisions. This introductory four-part webinar series will provide an overview of atmospheric carbon dioxide measurements from space with the OCO-2 and OCO-3 satellite missions. It will include a theoretical portion that will describe the instrument, how the measurement is made, and the characteristics, limitations and validation of the measurement. There will be a discussion of the type of climate studies that such measurements can support.
To support the 2023 Global Stocktake (GST), Parties to the Paris Agreement are compiling inventories of anthropogenic greenhouse gas (GHG) emissions and removals to assess their collective progress towards the long-term objectives of the Agreement. The Global Stocktake is the process of monitoring the implementation of the Paris Agreement.
Launched in 2019, the "Building global capacity to increase transparency in the forest sector” (CBIT-Forest) is a project implemented by the Food and Agriculture Organization of the United Nations (FAO) and funded by the Capacity-building Initiative for Transparency (CBIT) trust fund established under the Global Environment Facility (GEF). This project was designed to increase the capacity of developing countries to collect, analyse and disseminate forest-related data. These efforts would in turn enhance reporting and transparency.
Species Distribution Models (SDMs) play a critical role in biodiversity, conservation, and understanding the potential impacts to ecosystems under changing climate conditions. SDMs contextualize future scenarios based on known or projected ecological parameters and are the cornerstone for adaptive management planning around short- and long-term changes to complex landscapes.
Evolution of Science, Technology and Innovation Policies for Sustainable Development: The Experiences of China, Japan, the Republic of Korea and Singapore
Learning Objectives: By the end of this training, attendees will be able to: