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17 August 2020

Virtual meeting
Bangkok, Thailand

Open meeting

About the session

Big data and other non-traditional data sources are an exciting prospect for national statistical offices faced with increasing demand for more statistics of greater timeliness and relevance as has been experienced in the context of the 2030 Agenda for Sustainable Development and the COVID-19 pandemic. This increasing demand often coincides with declining budgets. Big data and other non-traditional data sources can sometimes offer comparatively inexpensive solutions. Globally and regionally, activities associated with these data sources continue to grow. The opportunities for member State engagement and involvement are vast. This seminar is held as preparation for the 7th Committee on Statistics. The presentations will highlight some of the key global and regional developments to support NSOs to use big data and participants will have a chance to discuss the prospects of big data for official statistics in Asia and the Pacific.

Agenda

  • Welcome: Gemma Van Halderen, Director, Statistics Division, ESCAP
  • Big Data and official statistics – the role of the Global Working Group: Niels Ploug
  • Introduction to UN global platform regional hub in China": Wang Wenna
  • Current progress of Big Data utilization for official statistics in Indonesia: Ali Said
  • Questions and answers : Tanja Sejersen

Speakers

  • Niels Ploug is the Director of Social Statistics, Statistics Denmark and responsible for SDG data. He is also a cochair UN Global Working Group on Big Data for Official Statistics
  • Wang Wenna is the Head of the Centre on the Application of Big Data in Hangzhou, and Deputy Director-General of NBS Survey Office in Zhejiang, National Bureau of Statistics of China
  • Ali Said is the Director of Analysis and Development of Statistics at Statistics Indonesia. He is also appointed to lead the development of Big Data uses for official statistics at Statistics Indonesia
  • Tanja Sejersen, Statistician, Statistics Division ESCAP

Additional Documents

for more information, please contact

Statistics Division +66 2288 1234 [email protected]