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BDES 2021 Programme DRAFT

The programme below is the one originally intended for BDES 2020 conference, planned to be held on 24-25 November 2020 in Warsaw (PL), canceled due to the Covid-19 pandemic. TO BE ADAPTED, removing dissemination of WP results. Possibly 2-day lunch-to-lunch?

Page being drafted - not final!

Big Data for European Statistics (BDES), x-x May 2021, Warsaw (PL)

Programme

More information on BDES 2020, including on registration and other practical issues, can be found here. If you have a question, please send a mail to bdes2020@stat.gov.pl.

TUESDAY 24 NOVEMBER 2020

8:30 Welcome and registration of participants

9:00 Opening address

 
  • Marc Debusschere, Conference Chairman
  • Dominik Rozkrut, Director General of GUS (Statistics Poland) hosting BDES 2020 subject to confirmation
  • Mariana Kotzeva, Director General of Eurostat subject to confirmation

09:30 Keynote speech

Xxx, Function and affiliation:
Title of keynote speech

10:00 Introduction to the parallel streams

Peter Struijs, Coordinator ESSnet Big Data II (CBS-NL)
Monica Scannapieco, Coordinator Pilots Track
Alexander Kowarik, Coordinator Implementation Track

10:30 Coffee break

PARALLEL STREAMS

Stream One - PILOTS

See below for the parallel session on Implementation.

11:00 Session 1A - Webscraping job vacancies (WPB) and enterprise characteristics (WPC)

Discussant: xxx

WP1 aims to demonstrate how the internet could be used as a source for statistics on job vacancies. Ten partners (UK, BE, DE, DK, EL, FR, IT, PT, SE, SI) have explored a mix of sources, including job portals, job adverts on enterprise websites, and job vacancy data from third party sources. Vladimir Kvetan (CEDEFOP) will present how information on skills can be derived from these data. More information.
Short summary of session objectives and content. More information on WPA and WPB.

12:30 Lunch break

14:00 Smart energy (WPD)

Discussant: xxx

The 6 partners of WP2 (IT, BG, NL, PL, SE, UK) have been investigating the potential of webscraping, text mining and inference techniques to collect general information about enterprises. Compared to WP1, this involves more massive scraping of websites and treating more unstructured data. More information.

15:00 Tracking ships (WPE)

Discussant: xxx

WP3, carried out by 6 partners (EE, AT, DK, IT, PT, SE), focuses on smart meters and more particularly on electricity meters as a possible source for statistics on energy consumption and possibly also on housing, household expenditure, environmental impact and energy production. More information.

16:00 Coffee break

16:30 Smart statistics (WPL)

Discussant: xxx

The 5 partners of WP4 (NL, DK, EL, NO, PL) have investigated whether real-time measurements of ship positions, as measured by AIS (Automatic Identification System), can be used to improve existing statistics. More information.

Stream Two - IMPLEMENTATION

10:00 Workpackage 1 - Webscraping job vacancies

Discussant: xxx

WP1 aims to demonstrate how the internet could be used as a source for statistics on job vacancies. Ten partners (UK, BE, DE, DK, EL, FR, IT, PT, SE, SI) have explored a mix of sources, including job portals, job adverts on enterprise websites, and job vacancy data from third party sources. Vladimir Kvetan (CEDEFOP) will present how information on skills can be derived from these data. More information.

11:15 Coffee break

11:30 Workpackage 2 - Webscraping enterprise characteristics

Discussant: xxx

The 6 partners of WP2 (IT, BG, NL, PL, SE, UK) have been investigating the potential of webscraping, text mining and inference techniques to collect general information about enterprises. Compared to WP1, this involves more massive scraping of websites and treating more unstructured data. More information.

12:45 Lunch break

13:45 Workpackage 3 - Smart meters

Discussant: xxx

WP3, carried out by 6 partners (EE, AT, DK, IT, PT, SE), focuses on smart meters and more particularly on electricity meters as a possible source for statistics on energy consumption and possibly also on housing, household expenditure, environmental impact and energy production. More information.

14:45 Workpackage 4 - AIS data

Discussant: Faiz Alsuhail

The 5 partners of WP4 (NL, DK, EL, NO, PL) have investigated whether real-time measurements of ship positions, as measured by AIS (Automatic Identification System), can be used to improve existing statistics. More information.

15:45 Coffee break

16:00 Workpackage 5 - Mobile phone data

Discussant: Anders Holmberg

WP5 has two main objectives: investigate and enable access to mobile phone data, and start developing use cases and appropriate methodologies. It is carried out by 9 partners (ES, BE, DE, FR, IT, FI, NL, RO, UK). More information.

17:00 Workpackage 6 - Early estimates

Discussant: xxx

WP6, with 4 partners (FI, NL, PL, SI), aims to investigate multiple data sources of different types in order to produce early estimates, particularly for nowcasting turnover indices. More information.

17:30 End of the first day

Wednesday 15 May 2020

09:00 Keynote speech

Name, function and affiliation:
Title of keynote speech

09:40 Workpackage 7 - Multiple domains

Discussant: xxx

WP7, carried out by four partners (PL, IE, NL, UK) aims to investigate how a combination of big data sources, administrative data and statistical survey data may enrich output in the statistical domains of population, tourism and border crossings, and agriculture. More information.

10:40 Coffee break

11:00 Workpackage 8 - Methodology

Discussant: xxx

WP8, carried out by seven partners (NL, AT, BG, IT, PL, PT, SI), cuts across all big data sources treated by ESSnet Big Data. As it depends on the work done in other workpackages, WP8 only started at the beginning of the second project stage. It addresses issues of big data methodology, statistical quality and IT tools. More information.

12:30 Lunch break

13:30 Big data and official statistics: what's next?

 
  • Mariana Kotzeva, Director General Eurostat:
From Big Data to trusted Smart Statistics - Official statistics in a digital society and economy
 
  • Peter Struijs, Coordinator ESSnet Big Data:
Big data for European statistics, plans and perspectives

14:30 Coffee break

14:50 Panel - Big data and the future of the ESS participants subject to confirmation

A panel consisting of Mariana Kotzeva (Eurostat), Dominik Rozkrut (GUS Poland), Xxx (XXX), Xxx (XXX) and Lilli Japec (Statistics Sweden), will discuss the challenges and opportunities offered by big data for the production of official statistics within the ESS. Chair: Peter Struijs.

16:20 Closing session

16:30 End of the second day