2021

  • 2021

    19 OCT
    08:00 - 9:30 AM
    (NY Time)

    UN Global Platform

    Part of the "Road to EXPO2020" Webinar Series
    Road to EXPO2020

    As part of the EXPO2020, the Federal Competitiveness and Statistics Center of UAE (FCSC) will host a 3-day event in January 2022 organized jointly with the United Nations Committee of Experts on Big Data and Data Science for Official Statistics (UN-CEBD). The event is about data solutions that will support the implementation of the Sustainable Development Goals and help in overcoming emergency situations such as the COVID-19 pandemic, for example, by using mobile phone data. It will showcase collaboration opportunities on the UN Global Platform and the Regional Hubs for Big Data, especially the Regional Hub in Dubai. From September to December 2021, UN-CEBD will organize a series of webinars in close collaboration with FCSC/UAE, paving the road to the event.

    The first of these webinars will be held on 28 September and will focus on the UN Global Platform and show several projects currently running on the platform.

  • 2021

    12 OCT

    14 OCT

    Workshop on Scanner Data and Web Scraping

    Virtual

    Eurostat together with the Scanner Data Task Team of the UN Committee of Experts on Big Data and Data Science for Official Statistics will organize a workshop on scanner data and web scraping on 12-14 October 2021. The objectives of the workshop are to exchange on practical experiences related to the use of new data sources in consumer price statistics, and to present and discuss some of the work conducted by the Task Team and by the European Statistical System.

  • 2021

    14 JUL

    16 JUL

    Invited Paper Sessions on using Mobile Phone Data for Official Statistics

    ISI World Statistics Congress 2021

    Two Invited Paper Sessions on using Mobile Phone Data for Official Statistics were presented at the ISI World Statistics Congress 2021:

    • Exploring Statistics on Tourism, Migration, Population and Displacements by Using Mobile Positioning Data
    • Towards 2030 Agenda: The Use of Mobile Data to Measure SDGs Indicators on Information Society
  • 2021

    30 JUN
    10:00 - 11:30 AM
    (NY Time)

    Data Science and Official Statistics

    Part of the "Road to Bern" Webinar series

    The Federal Statistical Office (FSO) of Switzerland together with the United Nations Statistics Division (UNSD) and Facebook are organizing a webinar on the topic of Data Science and Official Statistics. FSO recently established a Data Science Competence Centre which will benefit all government departments of Switzerland, while UNSD has been supporting the UN Committee of Experts on Big Data and Data Science for Official Statistics since 2014. Facebook uses Data Science in developing market strategy, but also to support a large Open Source community, called PyTorch, which has developed a machine learning framework that accelerates the path from research prototyping to production deployment.

  • 2021

    20 APR
    8:00 - 9:00 AM
    (NY Time)

    Oman's Experience in Utilizing Mobile Positioning Data for Official Statistics

    Global Network Webinar

    The NCSI Oman has accomplished a major achievement by using mobile positioning data for official statistics and making it one of the important data sources for the measurement of tourism, population, and commuting in the Sultanate of Oman. The use of mobile positioning data allows to reduce the volume of field surveys, reduce frequent visits to families and companies to conduct field surveys, and increase the speed of response to the requirements of development plans. In addition, it can be used to cover new statistical areas that development plans may require. This achievement of using Big Data is a paradigm shift in the production processes of high-quality official indicators.

  • 2021

    5 APR

    Mobile phone data for official statistics – addressing data accessibility, privacy, and regulatory issues

    Asia-Pacific Stats Café Series

    This Stats Café will present the experiences of the National Statistical Offices of Indonesia, Republic of Korea and Georgia in addressing challenges of using mobile phone data in population and tourism statistics. It will also discuss the supporting efforts of the UN Committee of Experts on Big Data and Data Science for Official Statistics and the Task Team on Mobile Phone Data.

  • 2021

    11 MAR
    8:00 - 9:30 AM
    (NY Time)

    Training in the Use of Big Data and Data Science

    Virtual Side Event of the 52nd UN Statistical Commission

    This side-event will showcase the competence framework on Big Data and data science and the related maturity matrix for statistical offices, the training program on Earth observations for agriculture statistics and the training courses on privacy preserving techniques. The objective is to convey the message that training in Big Data and data science is being developed and is available and open to all the members of the Commission.

  • 2021

    9 MAR
    9:00 - 10:30 AM
    (NY Time)

    Big Data for the SDGs - What is the Way Forward
    An Interactive Exchange of Views

    Virtual Side Event of the 52nd UN Statistical Commission

    In the context of the Global Working Group on Big Data and its Task Team on Big Data for the SDGs in particular, the purpose of this side-event is to share status of the current work on monitoring the SDGs with the help of non-traditional data, including big data sources such as Earth observations and citizen generated data. The aim of the side event is to provide inspiration and knowledge exchange for countries wishing to exploit big data for their SDG reporting.

  • 2021

    23 FEB
    9:00 - 10:30 AM
    (NY Time)

    Using Big Data on the UN Global Platform

    Virtual Side Event of the 52nd UN Statistical Commission

    This side-event of the 52nd UN Statistical Commission will showcase the projects on Sen2Agri, AIS data and .STAT. The objective is to convey the message that the data, services, technology and applications on the platform are available and open to all the members of the Commission. More projects can be onboarded. The side event will be conducted virtually and showcase 3 presentations with Q&A.

 

2020

  • 2020

    11 NOV

  • 2020

    15 OCT

    Data Innovation in Official Statistics

    Virtual

    The UN Global Working Group (GWG) on Big Data for Official Statistics will conduct a webinar jointly with the Federal Statistical Office (FSO) of Switzerland on the topic of data innovation in official statistics. FSO has taken the initiative to include data science into the portfolio of its work. This will be for the benefit not only of the Federal Statistical Office but also of other government departments. The GWG just conducted a Hackathon in the use of AIS data on the UN Global Platform. AIS is real-time data which tracks the position of ships around the world, and the UN Global Platform is a cloud-based collaborative environment for the GWG community of statisticians and data scientists. During the Hackathon 17 teams used AIS data to develop new applications, which can help in the COVID-19 response or in Climate Action. The winner and runner-up of this contest will present their application during this webinar.

  • 2020

    3 SEP

    6 SEP

    AIS Big Data Hackathon

    Virtual / Remote

    Automatic identification system (AIS) data allows for real-time geo-tracking and identification for equipped vessels. AIS data provides a big data source of unrivaled quality. The number of possible applications for this data is enormous. To quickly utilize the data to its full potential, we need a surge of creative researchers to come up with equally creative ways to use it!

  • 2020

    31 AUG

    2 SEP

    6th International Conference on Big Data for Official Statistics

    Virtual Conference via Seoul, Republic of Korea
    Seoul 2020

    The main theme of the Conference is "How can Big Data help in the COVID-19 response?" Related themes are: "How can Big Data support the monitoring of the progress towards the Sustainable Development Goals?" and "The need for global data collaboration on global emerging issues".

    Use of new data sources and new technologies, such as AI and machine learning, can make statistical operations more cost effective and provide timelier, more frequent and more granular statistical outputs, which is especially important to support rapid assessment of the COVID-19 situation and the 2030 Agenda for Sustainable Development and its 231 SDG indicators.

 

2019

  • 2019

    16 OCT

    18 OCT

    International Symposium on the use of Big Data for official statistics

    Hangzhou, China
    Hangzhou 2019

    The symposium aims to increase the knowledge and skills of statistical offices in using new data source, tools and methods, and to foster collaboration among countries in the Asian-Pacific region in the use of Big Data for official statistics. The symposium will give an overview on the work of the GWG and its Task Teams. Special attention will be devoted to the UN Global Platform as a digital platform enabling international and regional collaboration. This platform enables statisticians, data scientists and other researchers from different countries and locations to work together on projects involving, for example, satellite data to estimate crop production.

    The UN-China Centre on Big Data is being set up as a regional hub of the UN Global Platform, giving countries in Asia a better opportunity to advance the work on Big Data. This Centre will be useful to initiate and execute innovative data projects. The Centre will also serve as a training institute to develop new skills for staff of national statistical offices.

  • 2019

    15 AUG

    17 AUG

    Symposium on Data Science and Official Statistics

    ISI WSC 2019 // Kuala Lumpur, Malaysia

    Big Data is by definition different from traditional data sources currently used by national statistical systems (NSSs) requiring the development of new methodologies together with upgrading of quality assurance framework, technology, security, privacy and legal matters. This means that new skill sets and competencies are necessary. Some of which could be hired temporarily, others will need to become an integral part of the institution. Data science is one of those new competencies. It is likely that the staffing table of statistical institutions will show quite a few data scientists and data engineers in the near future.

    This symposium offers insights into activities on the nexus of Data Science and Official Statistics and corresponding training opportunities. It will consist of lectures, project presentations and hands-on demonstrations.

  • 2019

    11 JUN

    14 JUN

    Regional workshop on the use of mobile phone data for official statistics

    Jakarta, Indonesia

    Big Data is by definition different from traditional data sources currently used by national statistical systems (NSSs) requiring the development of new methodologies together with upgrading of quality assurance framework, technology, security, privacy and legal matters. This means that new skill sets and competencies are necessary. Some of which could be hired temporarily, others will need to become an integral part of the institution. Data science is one of those new competencies. It is likely that the staffing table of statistical institutions will show quite a few data scientists and data engineers in the near future.

    This symposium offers insights into activities on the nexus of Data Science and Official Statistics and corresponding training opportunities. It will consist of lectures, project presentations and hands-on demonstrations.

  • 2019

    29 APR

    3 MAY

    5th International Conference on Big Data

    Kigali, Rwanda
    Kigali 2019

    The 5th International Conference on Big Data for official statistics will be held in Kigali, Rwanda from 29 April until 3 May 2019. The first 3 days of the week will be devoted to training workshops for African countries and a seminar of activities of a Data Science Campus for official statistics. The seminar will demonstrate projects for the African continent, including projects on Digital Earth Africa. The last 2 days of the week will be for keynote speakers and several high-level panels. This week in Kigali will show that new data sources and new technologies can also be used in Africa to get better data for better policies.

  • 2019

    27 MAR

    29 MAR

    International Meeting on Measuring Human Mobility

    Tbilisi, Georgia

    The international meeting is built on three parts, namely (1) measuring human mobility using mobile phone data, (2) compiling migration and tourism statistics using traditional data sources, and (3) project implementation using the UN Global Planform.

    UNSD, ITU, national statistical offices, other national agencies and other international institutes will work together to develop and test methods to estimate migration and tourism statistics in Georgia with use of mobile phone data from Georgian mobile phone operators. Thereafter, other countries will test these new methods, such as Indonesia, Malaysia, Oman, Italy, the Netherlands, Columbia and Egypt.

 

2018

  • 2018

    21 OCT

    Open Day 2018

    Dubai, UAE
    Dubai 2018

    This year the GWG will meet the day before the 2nd UN World Data Forum. The GWG grasps the occasion to demonstrate its work to a wider audience. The GWG will show the progress made on the Global Platform – thanks to the great efforts made by ONS, UK – as a collaborative research and development environment for trusted data, services and applications by demonstrating [on the Global Platform] a number of projects in partnership with technology companies, data providers and academia. This Open Day of the GWG is an opportunity to show to all stakeholders where the GWG stands with the development of the Global Platform.

  • 2018

    18 JUN

    22 JUN

    Workshop on Earth Observation Data and Applications for Official Statistics

    Bangkok, Thailand

    This workshop provides an opportunity for statistical organisations to participate in discussion and training in the use of earth observation (EO) data, in particular satellite imagery, for official statistics and sustainable development goals (SDGs). The first day of the workshop provides an overview of EO and the ways in which it can be used to report on a variety of SDGs. This will include presentations from different country representatives and discussions among participants. The workshop will continue with a course on the use of satellite data for agricultural statistics. This will include presentations, practical demonstrations and hands-on tutorials focusing on data preparation, analysis and presentation. The practical focus of the course will be on crop-type classification, but the techniques and tools are more widely applicable. The workshop will conclude with a half-day wrapup including discussion about moving forward, priorities for participants and ongoing training opportunities.

 

2017

  • 2017

    8 NOV

    10 NOV

    4th UN Conference on Big Data

    Bogota, Colombia
    Bogota 2017

    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.

    • How can statistical offices, technology companies and data owners collaborate in a mutually beneficial way in a changing world, in which data are seen as the most important source for creating wealth and development for all?
    • What are the experiences and lessons learned from existing data collaboratives in relation to coverage, inclusion (and exclusion) of partners, activities, management and financing?
    • How can we share micro-data and other sensitive data in a federated cloud environment given regulatory frameworks for data privacy and statistical laws protection confidentiality?
    • How could we effectively and collaboratively use modern tools and services, such as data lakes, integrated geo-spatial data and statistics, or open source elastic stack while adapting job profiles and skills sets in the statistical office?

    These and similar questions will be addressed at the 4th UN Conference on Big Data.

 

2016

  • 2016

    30 AUG

    1 SEP

    3rd International Conference on Big Data for Official Statistics

    Dublin, Ireland
    Dublin 2016

    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.

 

2015

  • 2015

    20 OCT

    22 OCT

    International Conference on Big Data for Official Statistics

    Abu Dhabi, UAE
    Abu Dhabi 2015

    On 20-22 October 2015, the second global conference on Big Data for official statistics took place in Abu Dhabi, United Arab Emirates. This conference intends to take the development of Big Data one step further. Thus far, many examples of Big Data projects have been demonstrated. Now, the focus will be on lessons learned on the basis of detailed descriptions of those case studies. This is a first step towards guidance on using Big Data for Official Statistics, which can stimulate training, pilot projects and bringing pilot projects into the production environment. Therefore, the theme of the second global conference is 'moving from examples to guidelines'.

  • 2015

    4 MAR

    Big Data Seminar at the 46th UN Statistical Commission

    UNHQ, New York, USA
    Big Data Seminar 2015

    At its 45th session, the Statistical Commission recognized the importance of Big Data for official statistics and established a Global Working Group to develop guidance in this area. Big Data are potentially useful for official statistics, but require new tools and methods for capturing, managing and processing them efficiently. To take full advantage of these data sources, we need to adequately address issues pertaining to methodology, quality, technology, data access, legislation, privacy, management and finance, and provide adequate cost-benefit analyses.

    This seminar focused on the strategies developed by some national statistical offices to incorporate Big Data into the operations of the institute. They provided examples of some Big Data projects undertaken by their offices.

 

2014

  • 2014

    28 OCT

    30 OCT

    1st International Conference on Big Data for Official Statistics

    Beijing, China
    Beijing 2014

    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, mostly developed countries have started using various Big Data sources encountering a number of challenges. Mobile phone data, Traffic loop data, Twitter data and Satellite imagery have all been successfully used. Whereas national circumstances can be fairly unique, it is still intended to generalize the use of such Big Data sources to other countries, especially also in developing parts of the world.

 

2013

  • 2013

    22 FEB

    Big Data Seminar at the 44th UN Statistical Commission

    UNHQ, New York, USA

    The advent of the Internet, mobile devices and other technologies has caused a fundamental change to the nature of data. Big Data has important, distinct qualities that differentiate it from "traditional" institutional data, in particular the timeliness of the data. If governments wanted to, they could already let Big Data (and the private sector) play a role in providing information on topics that are currently under the purview of national statistical offices. Should these NSOs change their business operations to take on the opportunities of using Big Data for official government purposes?