6 December 2023
h. 9:00 am – 1:00 pm, 2:00 pm – 5:00 pm
7 December 2023
h. 9:00 am – 12:30 pm, 1:30 pm – 5:00 pm
Aula Magna
Istat – Italian National Institute of Statistics
Via Cesare Balbo 14, Rome, Italy
By invitation only – In person and online event
The event has the objective to gather researchers on statistical methodologies applied in the official statistics context, in order to promote exchange of ideas and good practices.
This workshop will be mainly focused on understanding the impact on methodologies and quality of new data sources (big data and in general non probability data) for the official statistics production.
The workshop is organized in 4 sessions:
- methodologies and designs for multi-source processes with non-probability data;
- innovative data for official statistics: methodological challenges;
- quality for non-traditional sources;
- machine learning methods in survey statistics (session in collaboration with IASS).
Each session consists of master classes and invited speakers.
Master classes will be given by Prof. Changbao Wu (University of Waterloo, Canada), Prof. Stefano M. Iacus (Harvard University and IQSS, U.S.A.), Mr. Fabio Ricciato (Eurostat), Prof. David Haziza (University of Ottawa, Canada) and Prof. Petrus J.H. Daas (Statistics Netherlands and Technische Universiteit Eindhoven, the Netherlands).
Invited speakers are representatives of Istat Italy, U.S. Census Bureau, INSEE France, LUMSA University Italy, Statistik Austria and Central Bureau of Statistics Ireland.
The discussion will be conducted by members of the Istat Advisory Committee on Statistical Methods.
Text Editing Guidelines
Papers to be included in the workshop proceedings should be formatted according to the following files:
Read documents of First workshop on Methodologies of Official Statistics.