Fourth Workshop on Methodologies for Official Statistics
In-person and online event
Now in its fourth edition, the workshop brings together experts specializing in methodologies applied to official statistics, with the aim of fostering the exchange of ideas and best practices through contributions from various international contexts.
The workshop programme focuses on topics related to the potential benefits for official statistics arising from the application of new methods and approaches developed in other statistical domains – from advanced data analysis models to the opportunities offered by Artificial Intelligence (AI) and Machine Learning (ML).
In addition, the workshop includes in-depth discussions on multi-source statistics and the implementation of methods for official statistics within an open-source framework.
The workshop is organised into four sessions:
- Statistical models for official statistics (Session organised in collaboration with the International Association of Survey Statisticians – IASS);
- AI/ML for official statistics;
- Multi-source analysis for official statistics;
- Open-source software implementing statistical methods for official statistics.
Each session consists of master classes and invited speakers.
Event session organisation
The scientific program includes two types of sessions:
Master classes: 1 hour long presentation followed by 30 minutes of floor discussion and rejoinder.
Invited talk session: each presenter has 20 minutes, followed by a discussant speech (10 minutes) and a floor discussion with rejoinder (20 minutes).
Text Editing Guidelines
Papers to be included in the workshop proceedings should be formatted according to the following files:
The definition of the workshop programme– including the identification of relevant areas of methodological research, the appointment of discussants and session chairs, and the selection of invited papers and master classes – is the responsibility of the Programme Committee, composed as follows:
- Marcello D’Orazio (coordinator)
- Mauro Scanu (coordinator)
- Stefano Falorsi
- Marco Di Zio
- Danila Filipponi
- Mauro Bruno
- Alessio Guandalini
- Fabrizio Solari
- Tiziana Tuoto
- Letizia Marangon
- Ilaria Bombelli
- Francesco Ortame
- Sara Emanuela Pagnotta
- Alessandro Piovani
- Giorgia Sacco
External components:
- Daniela Cocchi | University of Bologna, Italy
- Marco Alfò | Sapienza University of Roma, Italy
- Piero Demetrio Falorsi | formerly at Istat
- David Haziza | University of Ottawa, Canada
- Li-Chun Zhang | University Of Southampton, UK, e Statistics Norway
- Brunero Liseo | Sapienza, University of Roma, Italy
- Maria Giovanna Ranalli | University of Perugia, Italy
- Natalie Shlomo | University of Manchester, UK