Wednesday, 06 December 2023
9.00 am – 9.30 am Welcome and opening session
Francesco M. Chelli | President | Istat, Italy
Massimo Fedeli | Head of Department for development of methods and technologies for production and dissemination of statistical information | Istat, Italy
Monica Pratesi| Head of Department for statistical production | Istat, Italy
SESSION 1 Methodologies and designs for multi-source processes with non-probability data
9.30 am – 11.00 am Master class | Challenges and strategies in dealing with non-probability survey samples
by Changbao Wu | University of Waterloo, Canada
Abstract | Presentation
Master class chair Daniela Cocchi | University of Bologna, Italy
11.00 am – 11.20 am Coffee break
11.20 am – 12.50 pm Invited talks
Multi-source data: New approaches for non-standard employment statistics. The Dutch and Italian experience
Danila Filipponi, Silvia Loriga | Istat, Italy
Mauricio Garnier Villarreal, Dimitris Pavlopoulos | Vrije Universiteit Amsterdam, The Netherlands
Roberta Varriale | Sapienza University of Rome, Italy
Abstract | Presentation
Setting up a statistical register of individuals and dwellings, updated with administrative sources: Approach and first steps
Aurélien Lavergne | INSEE, France
Abstract | Presentation
Producing U.S. population statistics using multiple administrative sources
J. David Brown, Marta Murray-Close | U.S. Census Bureau, U.S.A.
Abstract | Presentation
Invited talks chair Piero D. Falorsi | formerly at Istat, Italy
Invited talks discussant Maria Giovanna Ranalli | University of Perugia, Italy
Presentation
12.50 pm – 2.00 pm Lunch
SESSION 2 Innovative data for official statistics: Methodological challenges
2.00 pm – 3.30 pm Master class | Limits and challenges of incorporating innovative data in official statistics
by Stefano M. Iacus | Harvard University and IQSS, USA
Presentation
Master class chair Daniela Cocchi | University of Bologna, Italy
3.30 pm – 3.50 pm Coffee break
3.50 pm – 5.20 pm Invited talks
Smart surveys: Methodological issues and challenges for official statistics
Claudia De Vitiis, Fabrizio De Fausti, Francesca Inglese, Monica Perez | Istat, Italy
Abstract | Presentation
Quantification of urban green areas: An innovative remote sensing approach for official statistics
Stefano Mugnoli, Fabrizio De Fausti, Giuseppe Lancioni, Francesco Sisti | Istat, Italy
Abstract | Presentation
Machine learning in official statistics: Is explainability an issue?
Maurizio Naldi | LUMSA University, Italy
Abstract | Presentation
Invited talks chair Brunero Liseo | Sapienza University of Rome, Italy
Invited talks discussant Li-Chun Zhang | Statistisk Sentralbyrå, Norway and University of Southampton, U.K.
Presentation
Tuesday, 07 December 2023
SESSION 3 Quality for non-traditional sources
9.00 am – 10.30 am Master class | Quality for innovative data sources: Progress, challenges and directions of work for the European Statistical System
by Fabio Ricciato | Eurostat
Abstract | Presentation
Master class chair Daniela Cocchi | University of Bologna, Italy
10.30 am – 10.50 am Coffee break
10.50 am – 12.20 pm Invited speakers
Quality aspects using mobile network operators data for official statistics
G. Ascari, E. Cerasti, C. Faricelli, P. Mattera, S. Piombo, R. Radini, G. Simeoni, T. Tuoto | Istat, Italy
Abstract | Presentation
Navigating quality challenges in landscaping web data: New aspects and source stability
Magdalena Six, Alexander Kowarik | Statistik Austria, Austria
Abstract | Presentation
Assessing the quality of transaction data for use in the Consumer Price Index
Anthony Dawson, Calvin O’Brien | Central Statistical Office / An Phríomh-Oifig Staidrimh, Eire
Abstract | Presentation
Invited talks chair Li-Chun Zhang | Statistisk Sentralbyrå, Norway and University of Southampton, U.K.
Invited talks discussant Natalie Shlomo | University of Manchester, U.K. (IASS President)
Presentation
12.20 pm – 1.40 pm Lunch
SESSION 4 Machine learning methods in survey statistics
in collaboration with
International Association of Survey Statistitians (IASS)
1.40 pm – 4.35 pm Invited talks
Introduction to session 4 | Overview of machine learning in survey research
Natalie Shlomo | IASS President | University of Manchester, U.K.
Presentation
Machine learning procedures for the treatment of unit non-response in surveys
David Haziza, John Tsang | University of Ottawa, Canada
Khaled Larbi | INSEE, France
Mehdi Dagdoug | McGill University, Montreal, Canada
Abstract | Presentation
3.00 pm – 3.20 pm Coffee Break
State of play and perspectives on machine learning at Istat
Marco Di Zio | Istat, Italy
Abstract | Presentation
Machine learning in official statistics: Towards statistical based machine learning
Marco Puts, Petrus J.H. Daas | Centraal Bureau voor de Statistiek, The Netherlands
Abstract | Presentation
Invited talks chair Natalie Shlomo | IASS President | University of Manchester, U.K.
CLOSING SESSION
4.35 pm – 5.00 pm
Orietta Luzi |Head of Directorate for methodology and statistical process design | Istat, Italy
Master classes are 1 hour long, followed by 30 minutes of floor discussion.
Invited talks, discussant talks and floor discussion for Sessions 1, 2 and 3 are 15 minutes long.
Session 4 consists of an introductory note 20 minutes long by the IASS president, two invited talks 45 minutes long, and a talk on the Istat activities on the Session 4 topics 15 minutes long.
Papers will be available in the workshop proceedings after the event.