Workshop Big Data for Economic Statistics: Challenges and Opportunities
11-09-2018 – 11-09-2018 Rio de Janeiro
The United Nations Statistics Division (UNSD), the Getulio Vargas Foundation (FGV), the KOF Swiss Economic Institute, and the Brazilian Institute of Geography and Statistics (IBGE) organized a Workshop on Big Data for Economic Statistics: Challenges and Opportunities prior to the 34th Conference of the Centre for International Research on Economic Tendency Surveys (CIRET). The aim of the workshop was to review successful examples of the use of big data for research analysis and for official statistics and to discuss how statistical offices, research institutes, technology companies and data owners can collaborate in this area in a mutually beneficial way in a changing world.
4th International Conference on Big Data for Official Statistics: Data collaboratives and trusted data
8-11-2017 – 10-11-2017 Bogota
Big Data, administrative data and traditional statistical data sources should be treated together via a multi-source approach; the challenge is not to overcome problems of using Big Data in itself, but to achieve trusted data collaboration; and in that respect the UN Global Working Group on Big Data needs a collaborative Global Platform for the overall organization of its work. Data collaboratives are a new challenge and new opportunity for the community of official statistics - in relation to Big Data, to the SDGs, to the sharing of data, services, technologies, and know how. The event is organized in collaboration of the UN Global Working Group, DANE and the Colombian Ministry for ICT.
3rd International Conference on Big Data for Official Statistics
30-08-2016 – 01-09-2016 Dublin
In line with the priorities of work and with the urgent needs for support of SDG indicators, the third Global Conference on Big Data for Official Statistics wants to take the next steps in the utilization of Big Data in the production of official statistics, namely by (1) providing guidance for access to proprietary data and for successful partnerships with data owners, by (2) providing training courses on topics such as methodology, IT tools and project management related to Big Data, and by (3) supporting projects, which demonstrate the use of Big Data for official statistics, and especially for the compilation of SDG indicators.
Second global conference on big data for official statistics
20-10-2015 – 22-10-2015 Abu Dhabi
Organized by the United Nations Statistics Division (UNSD), the National Bureau of Statistics of the United Arab Emirates (NBS UAE), the Australian Bureau of Statistics (ABS) and the Statistical Office of the Gulf Cooperation Council (GCC-Stat).
Innovations in technology, widespread penetration of electronic devices, and the rapid rise in the use of technology for social purposes all bring fundamental changes to the availability of real-time information. Such massive, highly dynamic and weakly structured data is commonly referred to as Big Data. Recognizing the potential of Big Data, the UN Statistical Commission established in 2014 a global working group (GWG) to provide strategic vision, direction and coordination of a global programme on Big Data for official statistics. Within this context the 2nd Global Conference on Big Data will take place on 20-22 October in Abu Dhabi.
This conference intends to take the development of Big Data one step further from examples towards guidance, which can stimulate training, pilot projects and bringing pilot projects into the production environment. The GWG promotes the practical use of Big Data, promotes capacity building and sharing of experiences, while finding common solutions for the challenges.
The opening day of the conference coincides with the second World Statistics Day, which proclaims “Better data. Better lives.” This means that opening day provides the unique opportunity to celebrate World Statistics Day, while highlighting the benefits of Big Data for official statistics.
International conference on big data for official statistics
28-10-2014 – 30-10-2014 Beijing
The Conference will bring together statisticians, data scientists and academia, who are interested in making Big Data sources useful for statistical applications.
Innovations in technology, broad use of electronic devices and the all-around generation of digital information bring fundamental changes to the availability of real-time information, such as data from GPS devices, from mobile phones or from social media. These high-volume and sometimes loosely structured data sources, commonly referred to as Big Data, are different from conventional data sources for official statistics, and have many challenges in their application. The business case still needs to be made for many statistical offices if, why and how Big Data are useful for official statistics. The potential of Big Data sources resides in their timely (sometimes real-time) availability of large amounts of data. The traditional data sources, such as household and business surveys are often costly and slow in the production of statistics.
Big Data could supplement, reduce or replace such data collections. However, the statistical community is conscious of the fact that in order to be able to take advantage of these innovative data sources, it needs to adequately address issues pertaining to methodology, quality, technology, legislation, privacy, management and finance. It is also of utmost importance to create an environment where public trust in the use of Big Data for official statistics is established and where privacy and confidentiality of personal information can be assured.
The statistical community has recognized the potential use of big data for official statistics. The UN Statistical Commission therefore established in March 2014 a global working group mandated to provide strategic vision, direction and coordination of a global programme on Big Data for official statistics, to promote practical use of sources of Big Data for official statistics, while finding solutions for their challenges, and to promote capacity building and sharing of experiences in this respect.
Currently, mainly developed countries have started using various Big Data sources, such as Mobile phone data, Traffic loop data, Twitter data and Satellite imagery. Whereas national circumstances can be fairly unique, the objective of the Conference and of the global working group is to generalize the use of such Big Data sources to other countries, especially also in developing parts of the world.