Global Preparatory Seminar for the UN World Data Forum
07-09-2016 – 09-09-2016 Guilin, Guangxi Province
The National Bureau of Statistics (NBS) of China and the United Nations Statistics Division (UNSD) will jointly organize a Global Preparatory Seminar for the UN World Data Forum in Guilin, China, from 7-9 September 2016.
Following the decision of the 47th Session of the Statistical Commission, the High-level Group on Partnership, Coordination and Capacity-Building for the 2030 Sustainable Development Agenda will organize a UN World Data Forum to engage with public and private measurements experts, statistical producers, information system specialists, and users as well as all other key stakeholders to discuss data for sustainable development in January 2017. The Global Preparatory Seminar, staged ahead of the UN World Data Forum, is expected to provide countries with an opportunity to prepare their participation and contributions for the UN World Data Forum and will consist of a series of presentations and discussions, covering key issues related to SDG monitoring.
The Global Preparatory Seminar will serve as a platform for participants representing a wide range of stakeholders to discuss opportunities and challenges faced in the production and utilization of data for the follow up and review of the Sustainable Development Goals and targets. In addition, the Seminar will provide a venue for technical discussions on opportunities and challenges in applying information, data, and statistics to measure progress on sustainable development. The event will also engage public and private measurement experts, information collectors, statistical producers, information system specialists, and users to discuss technical issues in the production and stewardship of SDG indicator statistics. Engaging with civil society, business, and the scientific and academic communities, the Seminar will also discuss the latest information innovations and their potential application to the production and communication of sustainable development statistics as well as discussions on SDG indicator methods and measurements.