Global Calendar of Statistical Events

Organizer(s): ESCAP SIAP UN Women SPC

Description: Within the framework of the Sustainable Development Goals (SDGs)gender equality is not only a standalone goal but also one of the crosscutting universal values that underpins the SDGsand a necessary precondition for achieving the goals of the 2030 development agenda. Good qualitytimelycomparableand disaggregated gender data provide the evidence needed to measure progress towards achieving the gender-related SDG goals and targets. The 2022 Sustainable Development Goals Progress Report produced by the United Nations Economic and Social Commission for Asia and the Pacific (UNESCAP) shows that while there has been notable improvements in overall data vailability in Asia and the Pacific since the first benchmark report in 2017there are still significant data gaps. Notablyat the subregional levelthe report highlights a lack of sufficient data for Goal 5 (Achieve gender equality and empower all women and girls) and thus presents an incomplete picture of anticipated progress towards this goal for the Pacific. Strengthening capacities to produce and use gender statistics is central to closing the gender data gap.

Topics: Sustainable development (CSA 501)

Event URL: Event Page

Additional Urls:

https://sdd.spc.int/events/2023/05/subregional-training-gender-statistics-monitoring-sustainable-development-goals-sdgs

Organizer(s): UNSD KOSTAT Korea

Description: The UN Statistics Division and Statistics Korea (National Statistical Office of the Republic of Korea) have co-organized every year an international seminar regarding important issues on the global statistical agenda since 2010. The seminar has covered a variety of social and economic issues from the perspective of statistics. For example, we have discussed the role of data and statistics in understanding open data and data disaggregation for reaching Sustainable Development Goals; and using big data for official statistics. As we recover from the COVID-19 pandemic, the significance of timely data using new data sources and data linkage has increased and it has provided us with new opportunities to the international statistical community for discussing the data stewardship and the data security issues.

Topics: Data processing and analysis (CSA 606) Institutional frameworks, organization of official statistics (CSA 701)

Event URL: Event Page

Organizer(s): FAO

Description: FAO to launch the latest edition of the FRA 2020 Remote Sensing Survey on 3 May at the World Forestry Congress in Seoul (Korea).

Topics: Data science (CSA 607)

Event URL: Event Page

Additional Urls:

http://www.fao.org/statistics/events/detail-events/en/c/1506896/

Organizer(s): OECD Ministry of Culture, Sports and Tourism Republic Korea

Description: The OECD Global Forum on Tourism Statistics, Knowledge and Policies brings together high-level policy makers, statisticians, and leaders from the private sector and civil society to exchange ideas, views and experience on issues high on the global tourism policy agenda. The 2021 edition of the Global Forum is hosted by the Ministry of Culture, Sports and Tourism of the Republic of Korea, on the theme reshaping tourism for a more resilient and sustainable tomorrow. It will provide a unique platform to support tourism recovery and develop a common transformation agenda for the tourism economy, to move to stronger, more sustainable and inclusive models of tourism development in the future. This year’s Global Forum on Tourism will be a hybrid event, online and in-person in Seoul Korea.

Topics: Tourism (CSA 20305)

Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link

Event URL: Event Page

Additional Urls:

https://oecd-events.org/tourism-statistics/

Organizer(s): UNSD KOSTAT Korea

Description: The focus of this year's conference is on the use of Data Science for official statistics, in particular the use of artificial intelligence (AI) and machine learning. In addition to the creation of Big Data centers next to the national statistical offices (NSOs) they have started creating Data Science Campuses as R&D centers, which develop and test new methods. They also have an educational program usually in cooperation with some universities. The Conference will cover the use of AI and machine learning for official statistics. The UN Global Working Group (UN GWG) created the UN Global Platform as a collaborative environment to develop and test new data sources, methods and algorithms for the global statistical system, such as new methods to compile agricultural crop yield using satellite data, migration and tourism statistics using mobile phone data and CPI estimates using scanner data which will be discussed during the conference. Many more pilot projects can be initiated on the Platform involving not only the statistical community and related public sector but also stakeholders from private sector, academia and civil society. The Conference will also cover the topic of changing the production line to introduce new data solutions in the national statistical systems.

Topics: Data sources, n.e.c. (CSA 60499) Data science (CSA 607)

Event URL: Event Page