Training and events
10/ 5
2023
"Measuring and Monitoring Sustainable Agriculture", Lecture within the framework of the Diploma in Sustainability in the Food Industry (University of Buenos Aires)
Virtual Event, 10/05/2023
FAO is the custodian agency for SDG Indicator 2.4.1 "Proportion of agricultural area under productive and sustainable agriculture". This indicator measures progress in achieving more productive and sustainable agriculture. It is made up of relevant sub-indicators that will provide governments with strategic information for evidence based policies.
Organized by FAO and th...
4/ 5
2023
[FAO x UNSD Brown Bag webinar] A Shiny Application to Track the Progress on Food and Agriculture-related SDG Indicators
Virtual Event, 04/05/2023
FAO has recently launched the FAO SDG Progress Assessment App: a web-based tool designed to automatize the assessment of progress made at the national, regional, and global level towards the achievement of the SDGs. The developed tool allows measuring the cu...
2/ 5
2023
12/5
2023
Technical assistance in computing the SDG indicators 2.3.1, 2.3.2 and 5.a.1 in The Gambia
02/05/2023 - 12/05/2023
The FAO Regional Office for Africa and the Office of the Chief Statistician organized a series of training sessions in May 2023 to assist the Gambia Bureau of Statistics (GBoS) in computing SDG indicators 2.3.1, 2.3.2, and 5.a.1, as well as integrating them into current survey instruments.
18/ 4
2023
26/4
2023
Virtual Training on Data Disaggregation and Small Area Estimation for SDG Indicators (18-24 April 2023)
Virtual Event, 18/04/2023 - 26/04/2023
From 18 to 24 April, the FAO Regional Office for Europe and Central Asia, in collaboration with the Office of the Chief Statistician in HQ, organized a virtual training to introduce statisticians and da...
11/ 4
2023
21/4
2023
Technical assistance in computing the SDG indicators 2.3.1, 2.3.2 and 5.a.1 in Eswatini
11/04/2023 - 21/04/2023
The FAO Regional Office for Africa and the Office of the Chief Statistician organised a series of training sessions in April 2023 to assist the Central Bureau of Statistics of Eswatini in computing SDG indicators 2.3.1, 2.3.2, and 5.a.1, as well as integrating them into current survey instruments.
24/ 3
2023
FAO Side Event "Disaggregation of the SDG indicator 6.4.2 (level of water stress) by river basin" at the UN 2023 Water Conference
Hybrid Event, 24/03/2023
This event showcased a few innovative methods to disaggregate water stress (SDG 6.4.2) and its components at catchment and river basin level, through the presentation of a few case studies prepared in various countries following different methodologies.
1/ 3
2023
30/3
2023
Remote workshop on SDG indicators 2.1.1 and 2.1.2
Virtual Event, 01/03/2023 - 30/03/2023
FAO is conducting a remote workshop on SDG indicators 2.1.1 Prevalence of Undernourishment and 2.1.2 Prevalence of moderate or severe food insecurity, based on the Food Insecurity Experience Scale (FIES).
28/ 2
2023
9/12
2023
National workshop on SDG indicators 2.1.1 and 2.1.2 in Chisinau (Moldova)
28/02/2023 - 09/12/2023
A technical workshop on SDG food security indicators is being conducted by FAO during 3-9 December 2023 in Chisinau, Moldova.
7/ 2
2023
[FAO x Data Strategy] How to Use Earth Observation Data for Agricultural Statistics & SDG Monitoring
Virtual Event, 07/02/2023
FAO, in collaboration with the Data Strategy, hosted a webinar on the use of Earth Observation data for the production of official agricultural statistics and SDG indicators.
Collecting data and predicting real time crop area and yield is difficult and expensive. FAO, through the EOSTAT project, is helping countries in overcoming this challenge and building their technical c...
22/ 11
2022
25/11
2022
Virtual Training on Data Disaggregation and Small Area Estimation for SDG Indicators (22-25 November 2022)
Virtual Event, 22/11/2022 - 25/11/2022
Organized by FAO's Office of Chief Statistician, the Virtual Training on Data Disaggregation and Small Area Estimation for SDG Indicators provided the statisticians and data analysts from the National Statistical Offices of Benin, Mali and South Africa with the basic methodological and practical tools to implement simple Small Area Estimation models for data disaggregatio...