Description: Objective To delve into the development of indicator frameworks for inclusive and sustainable policies. The workshop will provide a comprehensive overview of ESCAP’s framework for policy and data integration and focus on key aspects of statistical indicators development. Moreover, the workshop will offer an opportunity for participating countries to share practical experiences. Expected Outputs Increased capacity of relevant national officials in assuring policy inclusiveness and developing a comprehensive indicator framework. All participants are expected to be engaged in the discussions and contribute towards the workshop outputs with demonstrating their national experiences. Background In 2021, ESCAP launched a project on "integrating policy and data to leave no one behind in selected countries in Asia and the Pacific," with support from the Republic of Korea. The project aims to assist countries in reviewing and developing comprehensive policy monitoring indicator frameworks that are well integrated with the four dimensions of development to leave no one behind. The workshop, jointly organized by the Republic of Korea National Statistics Office (KOSTAT) and ESCAP, is designed to (a) expand on the importance of policy and data integration through user-producer dialogue; (b) guide the process of developing national indicators, describing the characteristics of well-defined indicators; (c) introducing the tool ‘Every Policy is Connected (EPIC)’; and (d) provide participating countries with an opportunity to share their experiences. The following countries from and Asia-Pacific region are invited: Bangladesh, Brunei Darussalam, Fiji, Kyrgyzstan, Maldives, Mongolia, Palau, the Philippines, Sri Lanka, Thailand, Timor-Leste, and Viet Nam. , EPiC tool: Overview Resources Workshops
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.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
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.
