About the meeting
Machine learning draws increasing attention among statistical organisations as it helps make the production processes more efficient and allows the analysis of the vast amount of information from new data sources, thus improving the timeliness and relevance of official statistics. While the specific business environments may vary depending on the country, statistical organisations face similar types of challenges which can benefit from sharing knowledge and experiences, and collaborating on developing common solutions within the broad official statistical community.
The Machine Learning for Official Statistics Workshop 2023 aims to bring together experts in national and international statistical organisations to share developments in the field and discuss issues and challenges. The programme of the meeting consists of following sessions:
- Session 1: Machine Learning Applications
- Session 2: Quality Aspects of Machine Learning in Official Statistics
- Session 3: Toward System-wide Transformation of Statistical Production
Detailed information and examples of topics to be covered in the meeting, registration, contributions and other organizational aspects can be found in Information Notice #1.
Call for contribution
National and international statistical organisations can make a contribution in any format (e.g., giving presentation, conducting training or sprint, running small discussion) as long as they are in line with the sessions as described in Section II in Information Notice #1. Those who wish to give a presentation at the meeting are invited to submit the abstract via the following online form by 15 February.
This workshop is planned as an in-person meeting. Representatives of Member States of the United Nations and of interested international organisations are welcome to participate in the workshop. All participants must be accredited by the competent authorities of their country or international organisation. All meeting participants should register by 20 May 2023 by completing the Indico on-line registration form.
- Dominika Nowak (Statisitcs Poland)
- Henri Luomaranta and Riitta Piela (Statistics Finland)
- Joni Karanka (UK Office of National Statistics)
- Michael Reusens (Statistics Flanders)
- Florian Dumpert (German Federal Statistical Office)
- Ralf Becker and Sean Lovell (UNSD)
- InKyung Choi (UNECE)