10:45 - 11:00
Networking time
11:00 - 12:00
We-IPS04
Chair:
Faiz Alsuhail (csc - IT Center for Science, Finland)
Organiser:
Faiz Alsuhail (csc - IT Center for Science, Finland)
11:00 - 12:00
We-IPS05
Chair:
Ioannis XIROUCHAKIS (Eurostat, Luxembourg)
Organiser:
Claude LAMBORAY (Eurostat, Other)
11:00 - 12:00
We-STS03
Chair:
Christine Mhundwa (Journalist, Zimbabwe)
11:00 - 12:00
We-STS04
Chair:
Gustaf Strandell (Statistics Sweden, Sweden)
11:00 - 12:00
We-STS05
Chair:
Samuel Stolton
12:00 - 13:00
We-SPOT03
Chair:
Martin Karlberg (Eurostat, Luxembourg)
12:00 - 13:00
We-SPOT04
Chair:
Matyas Meszaros (Eurostat, Hungary)
12:00 - 13:00
We-SPOT05
Chair:
Fabio Ricciato (Eurostat, Luxembourg)
13:45 - 14:45
We-IPS06
Chair:
Bernardus Bakker (CBS, Netherlands), Christine Mhundwa (Journalist, Zimbabwe), Heli Lehtimäki (EC-Eurostat, Luxembourg)
13:45 - 14:45
We-PAN01
Chair:
Monica Pratesi
Organiser:
Monica Pratesi
Discussant/s:
Stéphan Vincent-Lancrin (OECD, France), Cristiana De Paoli (Save the Children Italy, Italy), Filomena Maggino (Università degli Roma La Sapienza - Presidenza del Consiglio dei Ministri, Italy), Francesca Chiaromonte (Sant'Anna Schoool of Advanceced Studies (Pisa, IT) and Penn State University (University Park, PA USA), Italy), Ralf Münnich (Trier University, Germany)
Europe is experiencing the most serious post-war health crisis. The steps taken to block the expansion of the pandemic, the closure of economic, social and cultural, and in particular school, have had a serious impact on life of children, adolescents and their families, with the risk of increasing economic and educational poverty exponentially.
Monitoring SDGs requires new indicators that rely on more granular information, collecting new data on the impact and integrating existing data with new data sources.
This panel/round table session intends to bring together some of the recent advances in the definition of statistical indicators on vulnerabilities and educational poverty and small area estimation to provide evidence on the definition of new poverties related to the impact of the pandemic.
These include multidimensional indicators, small area estimation techniques in support of more disaggregation of the study variable, the need of more granular information and the integration of data from Apps/new technologies and traditional surveys.
13:45 - 14:45
We-PAN02
Chair:
Martina Hahn (Eurostat, Luxembourg)
Organiser:
Luca Gramaglia (Eurostat, Luxembourg)
Discussant/s:
Luca Gramaglia (Eurostat, Luxembourg), Edgardo Greising (International Labour Organization, Switzerland), David Barraclough (OECD, Other)
Over the past decade, the SDMX standard has been successfully used to standardise the worldwide exchange of statistical data. The experience accumulated over the past years and the emergence of new challenges in the collection and exchange of statistical data have led the SDMX Sponsors to develop SDMX 3.0, a new version of the SDMX Standard. SDMX 3.0 is foreseen to be published during the course of 2021. During the session, the members of the panel will present the main features foreseen to be included in SDMX 3.0. The audience will then be invited to engage with the panel members in an interactive Question & Answer.
All presentations from this panel session are available at: https://europa.eu/!Vw77pk
13:45 - 14:45
We-STS06
Chair:
Zoltán Vereczkei (Hungarian Central Statistical Office, Hungary)
13:45 - 14:45
We-STS07
Chair:
Dominique Ladiray (Independant (ex-INSEE), France)
14:45 - 15:00
Networking time
15:00 - 16:00
We-IPS07
Chair:
Natalie Shlomo
Organiser:
Natalie Shlomo
15:00 - 16:00
We-STS08
Chair:
Diego Kuonen (Statoo Consulting & Geneva School of Economics and Management, University of Geneva, Switzerland)
15:00 - 16:00
We-IPS09
Chair:
Joseph Sakshaug (Institute for Employment Research and Ludwig Maximilian University of Munich, Germany)
Organiser:
Mojca Bavdaž (School of Economics and Business, University of Ljubljana, Slovenia)
15:00 - 16:00
We-PAN03
Chair:
Emanuele BALDACCI (Eurostat- European Commission, Luxembourg)
Organiser:
Monica Scannapieco, Monica Pratesi
Discussant/s:
Orietta Luzi (Italian National Statistical Institute, Italy), Elise Coudin (INSEE - Statistics France, France), Piet Daas (Statistics Netherlands, Eindhoven University of Technology, Netherlands), Francesca Chiaromonte (Sant'Anna Schoool of Advanceced Studies (Pisa, IT) and Penn State University (University Park, PA USA), Italy)
Survey-based data collection can suffer in emergency times, due for instance to the reduced availability of respondents. Having the possibility to use new data sources, like Big Data ones, can help to face several problems related to survey-based production (e.g. missing responses), especially in the response phase of the emergency. In addition, in the phase of recovery from the emergency, such sources can be very useful to study new phenomena (e.g. economic impact of the emergency). In this setting, the panel will discuss technical and organizational challenges related to the use of Big Data sources for the production of statistics for the collective good in emergency scenarios.
15:00 - 16:00
We-STS09
Chair:
Francesca Di Iorio