News[2023]
15 - 19 May 2023 | Daejeon, Republic of Korea |
Regional training for SDG4 monitoring using MICS survey data
The United Nations Statistical Institute for Asia and Pacific (UNSIAP), together with United Nations Children’s Fund (UNICEF) and Statistics Korea(KOSTAT) will organize a regional training on education data capacity building from 15 to 19 May 2023, in Daejeon, Republic of Korea.
The program will focus on understanding education indicators based on household survey data, as well as administrative sources with a focus on SDG4 and other relevant SDG targets related to education such as child labour. Most of the indicators, however, will come from MICS 6 data, which should be available for all participating countries. In addition to the training, the capacity building activity will also serve as an opportunity for participating countries to share their experiences in terms of data use, including both Education Management Information Systems (EMIS) and household data.
27 March-28 April 2023 | e-Learning course |
Increasing user engagement around data and statistics – identifying and responding to user needs
Identifying and responding to the needs of users for data and statistics is at the heart of the mission of National Statistical Offices (NSOs) and national statistical systems. NSOs already undertake many activities interacting with different users such as preparing press releases to aid journalists and communicate with the public at large and organizing launch events/workshops to disseminate important results from surveys and censuses. In general, the NSO interacts with users towards the tail end of the statistical production process when the data is disseminated.There is an opportunity for national statistical offices to further improve their collaboration with users by engaging more systematically throughout the statistical production process. User engagement is the process of conducting a dialogue with users of official statistics to understand their needs and improve the products, services and operation of a statistical organization accordingly.
13 March-21 April 2023 | online |
Introduction to International Recommendations on Refugee and IDP Statistics
The numbers of refugees and internally displaced persons (IDPs) have increased rapidly in recent years, with UNHCR estimating over 100 million forcibly displaced persons in 2022. With displacement’s growing prominence, there is increasing interest at national, regional and international levels in statistics on refugees and IDPs including complete, accurate, timely and internationally comparable estimates of the numbers of people displaced, their well-being and vulnerabilities. Good-quality statistics are a requirement for developing, implementing and monitoring national, regional and international policies and agreements concerning refugees and IDPs. This course introduces the “International Recommendations on Refugee Statistics” (IRRS) and the “International Recommendations on IDP Statistics” (IRIS). These sets of recommendations were endorsed by the United Nations Statistical Commission in 2018 (IRRS) and 2020 (IRIS).
11–14 April 2023 | Chiba, Japan |
Regional Training Workshop on an Accounting Approach to Climate Change Statistics and Indicators
The System of Environmental Economic Accounting (SEEA) provides the agreed upon statistical framework for measuring the relationship between the environment and the economy. It is comprised of two complimentary international statistical standards: the SEEA Central Framework (SEEA CF) and the SEEA Ecosystem Accounting (SEEA EA). The SEEA CF takes a resource-based approach to measuring the supply and use of environmental resources and availability of environmental assets. The SEEA EA takes a more holistic, approach in providing a spatially explicit approach to compiling accounts on cosystems. The SEEA can be flexibly implemented by countries prioritizing accounts based on availability of information and policy priorities. The accounts are designed to respond to data needs for multiple policy initiatives including global initiatives on sustainable development and on mitigating and adapting to climate schange.
27 March-28 April 2023 | e-Learning course |
Increasing user engagement around data and statistics – identifying and responding to user needs
Identifying and responding to the needs of users for data and statistics is at the heart of the mission of National Statistical Offices (NSOs) and national statistical systems. NSOs already undertake many activities interacting with different users such as preparing press releases to aid journalists and communicate with the public at large and organizing launch events/workshops to disseminate important results from surveys and censuses. In general, the NSO interacts with users towards the tail end of the statistical production process when the data is disseminated.There is an opportunity for national statistical offices to further improve their collaboration with users by engaging more systematically throughout the statistical production process. User engagement is the process of conducting a dialogue with users of official statistics to understand their needs and improve the products, services and operation of a statistical organization accordingly.
13 March-21 April 2023 | online |
Introduction to International Recommendations on Refugee and IDP Statistics
The numbers of refugees and internally displaced persons (IDPs) have increased rapidly in recent years, with UNHCR estimating over 100 million forcibly displaced persons in 2022. With displacement’s growing prominence, there is increasing interest at national, regional and international levels in statistics on refugees and IDPs including complete, accurate, timely and internationally comparable estimates of the numbers of people displaced, their well-being and vulnerabilities. Good-quality statistics are a requirement for developing, implementing and monitoring national, regional and international policies and agreements concerning refugees and IDPs. This course introduces the “International Recommendations on Refugee Statistics” (IRRS) and the “International Recommendations on IDP Statistics” (IRIS). These sets of recommendations were endorsed by the United Nations Statistical Commission in 2018 (IRRS) and 2020 (IRIS).
11–14 April 2023 | Chiba, Japan |
Regional Training Workshop on an Accounting Approach to Climate Change Statistics and Indicators
The System of Environmental Economic Accounting (SEEA) provides the agreed upon statistical framework for measuring the relationship between the environment and the economy. It is comprised of two complimentary international statistical standards: the SEEA Central Framework (SEEA CF) and the SEEA Ecosystem Accounting (SEEA EA). The SEEA CF takes a resource-based approach to measuring the supply and use of environmental resources and availability of environmental assets.
22-23 February 2023 | Online |
Webinar on 2008 SNA Implementation
The 2008 SNA is an update of the earlier version 1993 SNA; does not recommend fundamental or comprehensive changes; it is meant to be implemented in a flexible manner. These webinar series will focus on the current status of the implementation, challenges affecting the implementation, country practices to these challenges and also discuss how SNA 2025 would address these challenges.
16 January-24 February 2023 | Online |
e-Learning course Compiling climate change indicators: an accounting approach
This course introduces concepts relevant to compiling indicators that inform climate change. The topics covered include among others: climate change policies and indicators; energy and air emission accounts; and data sources. Weekly webinars will also be held as part of the course to provide an overview of the topics and allow participants to ask questions. Following the completion of the course and depending on resource availability, in-kind support will be provided to countries interested in the compilation of climate change indicators that will be introduced and discussed during the course.
21 November 2022 -15 January 2023 | Online |
e-Learning course Machine Learning for Official Statistics
and SDG Indicators
The course is designed for personnel working in the field of statistics, whose main responsibilities include data analysis of SDG indicators and related statistics with a specific target on data scientists from NSOs with an experience in both statistical modelling (regression analysis, prediction, classification, ...) and with programming or algorithmic skills. Although no programming will be required to follow and succeed in the course, the pedagogical materials include R code, in the form of reproducible markdown notebooks, as well as some Python resources and code.
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