Цели в области устойчивого развития

Электронные учебные курсы по показателям достижения ЦУР

В качестве организации-ответственного за  21 показателя ЦУР и учреждения, вносящего свой вклад в разработку еще пяти показателей, ФАО играет важнейшую роль в реализации Повестки дня на 2030 год в области устойчивого развития. В целях оказания помощи странам-членам в этих глобальных усилиях организация разработала серию электронных учебных курсов по показателям ЦУР, находящихся в ведении ФАО. Какова цель? Оказать поддержку национальным статистикам и другим правительственным чиновникам в сборе, анализе и представлении данных по показателям ЦУП и, таким образом, помочь всем заинтересованным сторонам лучше понять прогресс, достигнутый в достижении ЦУР.

This short course introduces the process of monitoring progress towards the achievement of the Sustainable Development Goals (SDG). It highlights the role of UN agencies in supporting data collection and analysis, and it presents the SDG indicators under FAO custodianship.

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This course focuses on SDG Indicator 2.1.1, which is one of two indicators that focus on food insecurity. The PoU is an estimate of the proportion of the population facing serious food deprivation, and is derived from official national level information on food supply and consumption, and energy needs. This course has been developed to support countries in analysis and reporting for Indicator 2.1.1.

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(also available in French and Spanish)

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In the context of reporting on the SDG Indicator 2.1.2, this course introduces the Food Insecurity Experience Scale (FIES) and explains how it can be used to measure food security. The course provides guidance on the collection and analysis of data, and on how the information provided by the FIES can be used to inform and guide policy

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This course has been developed to support countries in computing and monitoring Indicators 2.3.1 and 2.3.2 of the 2030 Sustainable Development Goals (Labour Productivity and Income of Small-scale Food Producers), and to facilitate the understanding of the main concepts underpinning the methodology.

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This course has been developed to support countries in the analysis and reporting for Indicator 2.4.1 of the 2030 Sustainable Development Goals (Proportion of agricultural area under productive and sustainable agriculture), and to facilitate the understanding of the main concepts underpinning the methodology.

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This course has been developed to support countries in the analysis and reporting for SDG Indicators 2.5.1 and 2.5.2. These indicators measure the achievement of SDG target 2.5, which focuses on maintaining genetic diversity of seeds, cultivated plants and farmed and domesticated animals and their related wild species. The course illustrates the fundamental concepts upon which the methodology is based.

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This course focuses on SDG Indicator 2.a.1 – Agriculture orientation index for government expenditure. The course illustrates the indicator, its rationale, the methodology and statistical classifications it is based on, and the challenges that countries may face when compiling the data.  

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This course is a clear and easy-to-use guide to understand Indicator 2.c.1 (Indicator of food price anomalies) and the methodology to estimate it. It covers basic concepts related to market functioning, prices determination and price volatility and explains how to calculate the indicator and use the online Food Price Monitoring and Analysis (FPMA) tool to interpret indicator results, at national and international level.

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This course focuses on SDG Indicator 5.a.1, which is one of two indicators that focus on women’s ownership and/or control over agricultural land. As this is a statistical based indicator, after introducing its key concepts, definitions and rationale, the course offers detailed guidance both on data collection and manipulation, and computation of the various sub-indicators.

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This course focuses on SDG Indicator 5.a.2 which assesses women’s equal rights to land ownership and/or control. The course describes the indicator, explains its rationale and provides countries with step-by-step guidance for conducting the assessment.

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(also available in French and Spanish)

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The course provides guidance on the rationale and the main characteristics of Indicator 6.4.1, and on how to compute the two dimensions constituting the indicator: the hydrologic and the economic component. It also highlights possible challenges related to data availability, and the impact that monitoring results may have on national decision-making and identification of development policies.

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This course provides tools, methods and processes to support countries in monitoring and reporting on SDG Indicator 6.4.2 "Level of water stress: freshwater withdrawal in percentage of available freshwater resources".

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The e-learning course covers the sub-indicator 12.3.1.a the Food Loss Index (FLI) which will aid countries in reducing food losses along production and supply chains. The lesson covers the index and its components, along with strategies and guidelines for collecting, integrating and modelling the necessary data from a variety of sources.  

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This course focuses on SDG Indicator 14.4.1 - Fish stocks sustainability: " Proportion of fish stocks within biologically sustainable levels". It introduces basic fisheries concepts and definitions, illustrates some technical aspects of classical data-limited stock assessment and provides detailed guidance on process and tools for the analysis and reporting of the Indicator.

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This course has been designed to support countries in their data collection, analysis and reporting of SDG Indicator 14.b.1 - Securing sustainable small-scale fisheries: "Progress by countries in the degree of application of a legal / regulatory / policy / institutional framework which recognizes and protects access rights for small-scale fisheries".

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This course has been developed to guide countries in reporting on Indicators 15.1.1 and 15.2.1. It illustrates the rationale of the indicators, the definitions and methodologies on which monitoring activities are based, and explains the process and the tools available for compiling data related to the two indicators through the Global Forest Resources Assessment (FRA) Programme.

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