CROS

The originally planned BDES 2020 conference, to be held in Warsaw (PL) on 24 and 25 November 2020, had to be canceled due to the Covid-19 pandemic. It has been replaced by two events:

  • a downsized version of BDES 2020 consisting of a series of online dissemination sessions to present all results of the 11 content workpackages of the ESSnet Big Data project and to interactively discuss them with project participants, stakeholders in official statistics, business and acedemia, and anyone else interested;
  • a (hopefully) live and physical international BDES 2021 conference at the end of May 2021 in Warsaw (PL) to explore future directions for big data and new data sources in official statistics through keynote speeches, panel sessions and discussion with the audience.

PROGRAMME

The programme consists of 12 two-hour online sessions, a general introduction of the ESSnet Big Data project and 11 sessions presenting the results of the content workpackages. It runs from Monday 23 November until (and including) Monday 30 November 2020, with a 2-hour morning and afternoon session every day.

To see all 12 sessions (in a printable (PDF) programme), please click the "export programme" button below the online programme.

Anyone can freely attend any of these sessions after registering (see below).

Please note: all times indicated are CET (Central European Time); verify how this relates to your own time zone! 

Introduction

Location : Online
Speaker :
  • Peter Struijs,  

Workpackage F (WPF) of ESSnet Big Data focuses on defining the processes and reference architecture necessary to produce official statistics based on big data, both at national and ESS levels. The defined architectures will range from the logical layer to the technological one. The logical architectures will enable the sharing of common data representations as well as services and processes’ design. The technological architectures, which are strictly connected to the logical architectures, provide concrete solutions for NSIs implementing big-data-based statistical production.

WPF is carried out by representatives of eight ESSnet Big Data partners: ISTAT (Statistics Italy) which is leading WPF, and NSI (Statistics Bulgaria), Destatis (Statistics Germany), DST (Statistics Denmark), Statistics Estonia, INSEE (Statistics France), CBS (Statistics Netherlands) and INE (Statistics Portugal).

More background information on WPF can be found here.

Location : Online

Workpackage B (WPB) of ESSnet Big Data focuses on online job vacancies. Its aim is to produce statistical estimates for online job vacancies based on suitable techniques and concrete methodologies developed during the pilot phase of the project (see Workpackage 1 of ESSnet Big Data I), and to explore the conditions under which these approaches can be used in the ESS. The final objective of WPB is to develop and test methodologies and prototypes as well as to build capacity for integrating them into statistical production, both at the level of individual NSIs and the whole of the ESS.

WPB is carried out by representatives of twelve ESSnet Big Data partners: SURS (Statistics Slovenia) which is leading WPB, and NSI (Statistics Bulgaria), FSO (Statistics Switzerland), DARES (Ministry of Labour, France), Destatis (Statistics Germany), CSO (Statistics Ireland), ISTAT (Statistics Italy), LSD (Statistics Lithuania), GUS (Statistics Poland), INS (Statistics Romania), SCB (Statistics Sweden) and ONS (Statistics UK).

More background information on WPB can be found here.

Location : Online
Speaker :
  • Tomaž Špeh,  

Workpackage C (WPC) of ESSnet Big Data focuses on enterprise characteristics. Its aim is to use webscraping, text mining and inference techniques for collecting and processing enterprise information, in order to improve or update information held by the national business registers, such as presence on the internet, kind of activity, address information, ownership structure, ... The implementation involves massive scraping of company websites, collecting, processing, analysing unstructured data and dissemination of national-level experimental statistics. The enterprise data collected by WPC will be combined with existing data from multiple other sources, such as administrative data and structural business and ICT usage surveys.

WPC is carried out by representatives of nine ESSnet Big Data partners: NSI (Statistics Bulgaria) which is leading WPC, Statistics Austria, Destatis (Statistics Germany), Statistics Finland, CSO (Statistics Ireland), ISTAT (Statistics Italy), CBS (Statistics Netherlands), GUS (Statistics Poland) and ONS (Statistics UK).

More background information on WPC can be found here.

Location : Online
Speaker :
  • Galya Stateva,  

Workpackage D (WPD) of ESSnet Big Data focuses on smart energy meters and more particularly on electricity meters which can be monitored continuously at a distance. Its objective is to implement smart meter data for the production of statistics on businesses and households and for identifying vacant or seasonally/temporarily occupied dwellings, by linking the electricity data with data from administrative sources.

WPD is carried out by representatives of four ESSnet Big Data partners: Statistics Estonia which is leading WPD, DST (Statistics Denmark), SSB (Statistics Norway) and SCB (Statistics Sweden).

More background information on WPD can be found here.

Location : Online
Speaker :
  • Arko Kesküla,  

Workpackage E (WPE) of ESSnet Big Data focuses on real-time measurements of ship positions derived from the so-called AIS (Automatic Identification System) data and successfully explored in the previous project round (see ESSnet Big Data I Workpackage 4 (WP4) on AIS data). Its objective is to develop functioning statistical production prototypes, including procedures and technical solutions, to produce experimental maritime, inland waterways and environmental statistics based on AIS data.

WPE is carried out by representatives of three ESSnet Big Data partners: CBS (Statistics Netherlands) which is leading WPE, and Elstat (Statistics Greece) and GUS (Statistics Poland).

More background information on WPE can be found here.

Location : Online
Speaker :
  • Remco Paulussen,  

Workpackage K (WPK) of ESSnet Big Data focuses on methodology and quality issues. Its main objective is to consolidate the knowledge and knowhow gained by the various workpackages (and, up to a point, outside of them in academia and non-ESS official statistics), building and expanding on key deliverables from ESSnet Big Data I Workpackage 8 on methodology, quality and IT, such as the literature overview, the overview of quality issues and their possible solutions, and the overview of methodologies applied and methodological challenges identified.

WPK is carried out by representatives of six ESSnet Big Data partners: Statistics Austria which is leading WPK, INE-ES (Statistics Spain), ISTAT (Statistics Italy), CBS (Statistics Netherlands), GUS (Statistics Poland) and INE-PT (Statistics Portugal).

More background information on WPK can be found here.

Location : Online

Workpackage G (WPG) of ESSnet Big Data focuses on the potential of data on financial transactions for contributing to official statistics. Its main objective is to obtain an overview of the sources and the data infrastructure (metadata) in the various countries, to describe availability and the opportunities and limits for accessing them, and finally to assess their statistical potential, either for estimating and if possible improving existing statistics or for creating completely new statistical products. A key success factor for conducting the intended empirical studies and analysis will be the success in actually obtaining financial transaction datasets from data owners.

WPG is carried out by representatives of six ESSnet Big Data partners: SSB (Statistics Norway) which is leading WP5, and INS (Statistics Bulgaria), Destatis (Statistics Germany), INE (Statistics Portugal) and SURS (Statistics Slovenia).

More background information on WPG can be found here.

Location : Online
Speaker :
  • Johan Fosen,  

Workpackage I (WPI) of ESSnet Big Data focuses on mobile networks data, data generated through the use and moving about of mobile phones and similar devices. Its main objective is to complete the production framework started in ESSnet Big Data I Workpackage 5, aimed at a standardised statistical production process for the ESS.

To this end, a modular rather than a linear approach will be pursued, to avoid obstruction from the lack of access to real data and to allow optimal development of the building blocks of the framework, addressing many different aspects: data access and the relationship with mobile network operators; methodology and IT (enabling the identification of skills and capabilities needed); quality issues; proposals for standards and related metadata; dissemination aspects of statistical products (mainly visualisation). Furthermore, as a novelty, instrumental (semi-simulated) data closely resembling real data will be used when the latter are not accessible.

WPI is carried out by representatives of nine ESSnet Big Data partners: INE (Statistics Spain) which is leading WPI, Destatis (Statistics Germany), Statistics Estonia, INSEE (Statistics France), CSO (Statistics Ireland), ISTAT (Statistics Italy), CBS (Statistics Netherlands), INS (Statistics Romania) and ONS (Statistics UK).

More background information on WPI can be found here.

Location : Online
Speaker :
  • David Salgado,  

Workpackage H (WPH) of ESSnet Big Data focuses on earth observation data, i.e. satellite data and aerial photography (but at the moment mostly at the former in the form of Sentinel data). Its objective is to build a geospatial framework filling the “geospatial breakdown” between statistical and geographical information, by describing the availability and access possibilities/restrictions for statistical use in various domains and application areas, such as agriculture, built-up areas, land cover and settlements enumeration, and forestry.

WPH is carried out by representatives of nine ESSnet Big Data partners: GUS (Statistics Poland) which is leading WPH, and Statbel (Statistics Belgium), Destatis (Statistics Germany), INSEE (Statistics France), ISTAT (Statistics Italy), LUKE (Natural Resources Institute Finland), CBS (Statistics Netherlands), INE (Statistics Portugal), and SSP (Ministry of Agriculture, Agrifood Industry and Forestry, France).

More background information on WPH can be found here.

Location : Online
Speaker :
  • Marek Morze,  

Workpackage J (WPJ) of ESSnet Big Data focuses on innovative tourism statistics and has as objectives to develop a conceptual framework and set up a smart pilot Tourism Information System to support statistical production in the field of tourism by integrating various big data sources with administrative registers and statistical databases using innovative statistical methods.

Its planned actions include identifying and evaluating the availability and quality of various big data sources, developing methods to combine data and their spatio-temporal disaggregation, developing prototype production system for tourism statistics, and recommending data sources to produce good quality tourism estimates as well as ways to set up a smart and robust Tourism Information System;

WPJ is carried out by representatives of eight ESSnet Big Data partners: GUS (Statistics Poland) which is leading WPJ, and NSI (Statistics Bulgaria), ELSTAT (Statistics Greece), HSL (Hesse Statistical Office, Germany), ISTAT (Statistics Italy), CBS (Statistics Netherlands), INE (Statistics Portugal) and NSI (Statistics Slovakia).

More background information on WPJ can be found here.

Location : Online
Speaker :
  • Marek Cierpiał-Wolan,  

Workpackage L (WPL) of ESSnet Big Data focuses on smart statistics. Its main objective is to explore the expanding 'internet of things' (IoT) in order to produce trusted smart statistics in various statistical domains and using various data sources. As the range of topics within IoT is huge, however, WPL more particularly aims at providing an overview of relevant topics for official statistics, at showing their variety and at identifying promising topics to be be analysed further. Within this context, the availability and accessibility of different data sources will also be checked.

WPL will prepare the ground for future actions on trusted smart statistics by concentrating on the IoT data sources and devices with potential relevance to official statistics, resulting in an overview of the data landscape. Within the limited duration no proofs of concept or experimental statistics are envisaged, but the work of WPL will lay the ground for future actions aiming at these.

WPL is carried out by representatives of twelve ESSnet Big Data partners: Destatis (Statistics Germany) which is leading WPL, Statistics Austria, BBB (Office for Statistics Berlin-Brandenburg), NSI (Statistics Bulgaria), Statistics Finland, INSEE (Statistics France), ISTAT (Statistics Italy), CBS (Statistics Netherlands), SSB (Statistics Norway), GUS (Statistics Poland), INE (Statistics Portugal) and ONS (Statistics UK).

More background information on WPL can be found here.

Location : Online
Speaker :
  • Natalie Rosenski,  

Speakers

Peter Struijs

Tomaž Špeh

Arko Kesküla

Remco Paulussen

Johan Fosen

David Salgado

Marek Morze

Marek Cierpiał-Wolan

Natalie Rosenski

Galya Stateva

Registration

Registration request

To introduce a registration request, simply send an e-mail to

bdes2020@stat.gov.pl

with the following information:

  • name
  • country
  • organisation/institution
  • function
  • e-mail address
  • the number(s) (1-12) of the session(s) you want to attend - there is no limit to the number of sessions one can attend, but please indicate ALL clearly!

Your personal data will be treated according to the GDPR provisions, and will only be used for the processing of BDES 2020 registrations.

Registration

After your registration request has been processed, you will get a confirmation e-mail as soon as possible.

Practical information

 

Attendance

For each of the BDES 2020 sessions you have signed up for, you will receive two weeks before the chosen session a separate e-mail with a clickable link. If you have registered for multiple sessions, you will receive several e-mails, one for each session.

Clicking this link will connect you to the Zoom Webinar virtual conference room where you can view and hear the speakers and their presentations, and at wish interact via chat and other channels.

Papers and presentations

Presentations will be based on the project deliverables created by the various workpackages, most of which are already available and freely consultable. See here for an overwiew (click on the workpackage you are interested in).

 

See also