About the meeting
The High-Level Group for the Modernisation of Official Statistics (HLG-MOS) was established by the Bureau of the Conference of European Statisticians (CES) in 2010 to actively steer the modernisation of statistical organisations. The mission of the HLG-MOS is to work collaboratively to identify trends, threats and opportunities in modernising statistical organisations and provide a common platform for experts to develop solutions in a flexible and agile way. The purpose of the workshop was to ensure that the work of HLG-MOS is community driven and that activities and initiatives are aligned with the implementation of the HLG‑MOS vision, avoiding duplication and maximising efficiency. The workshop will also include sessions where the broad official statistics community could share ongoing initiatives related to modernisation and innovation, thus creating synergies among the organisations and opportunities for further collaboration, which will further enrich the work programme of HLG-MOS.
The target audience of the workshop is experts, managers and leaders in statistical organisations who work on modernisation and innovation initiatives. This includes experts who have participated in the HLG-MOS activities this year as well as those with a broad knowledge of the recent developments in this area and understanding of international cooperation.
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Document Title |
Documents |
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Information Notice 1 (concept note) |
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Information Notice 2 (logistic information) |
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Provisional Timetable |
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Opening |
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Where to go next: a maturing HLG-MOS – Anil Arora (Statistics Canada, chair of HLG-MOS) |
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HLG-MOS Projects Reporting |
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Cloud for Official Statistics – John Conway (CSO Ireland) and Claude Julien (UNECE Project Manager) |
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Data Governance for Interoperability Framework (DAFI) Project – Juan Munoz (INEGI, Mexico) and Carlo Vaccari (UNECE Project Manager) |
Presentation |
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ModernStats Carpentries (phase 2 Meta Academy) – Eric Anvar (OECD), Andrew Tait (UNECE), Jonathan Wylie (Statistics Canada) |
Presentation |
Generative AI and Official Statistics |
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HLG-MOS White Paper on LLM/GPT – Cathal Curtin (Statistics New Zealand) |
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Building a SAS to R translation assistant with ChatGPT – Florian Givernaud (INSEE, France) Transforming the Search for Public Information in Mexico with Advanced Language Models – Juan Munoz (INEGI, Mexico) Can AI better satisfy users of statistical information? A case study in Istat – Michela Troia, Sara Letardi and Mauro Bruno (Istat, Italy) |
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The Promises of Generative AI and What It Means for the Modernisation of NSOs – Doug Smith (Microsoft) |
Presentation |
Innovation Radar |
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Digital Twins for Official Statistics – Steve MacFeely (WHO) and Hossein Hassani (International Institute for Applied Systems Analysis) |
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ESS Innovation – Jean-Marc Museux (Eurostat) |
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Co-development of open source solutions: the .Stat Suite business case – Eric Anvar (OECD) |
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HLG-MOS Blue Skies Thinking Network – Barteld Braaksma (Statistics Netherlands) |
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HLG-MOS Modernisation Group Reporting and Plans |
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HLG-MOS Expert Meetings – InKyung Choi (UNECE) |
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Applying Data Science and Modern Methods – Gary Dunnet (Statistics New Zealand) Activity Proposals 2024: |
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Capabilities and Communication – Anna Borowska (Statistics Poland), Elaine O'Mahoney (CSO Ireland), Fabrizio Rotundi (Istat) and Jeremy Visschers (Statistics Netherlands)
Activity Proposals 2024: |
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Supporting Standards – Flavio Rizzolo (Statistics Canada) Activity Proposals 2024: |
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Setting Modernisation Agenda for 2024 |
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Soapbox
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HLG-MOS Project Proposals for 2024: |
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Small group discussion |
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Summary and conclusions - Anil Arora (Statistics Canada, chair of HLG-MOS), Jennifer Banim (CSO Ireland, co-chair of HLG-MOS Executive Board) and Stéphane Dufour (Statistics Canada, co-chair of HLG-MOS Executive Board) |
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