The goal of the group is to find ways how to develop, enhance, integrate, promote, support and facilitate implementation of the range of standards needed for statistical modernisation. It has operational responsibility for the maintenance and development of the Generic Activity Model for Statistical Organizations (GAMSO), Generic Statistical Business Process Model (GSBPM), the Generic Statistical Information Model (GSIM), the Common Statistical Data Architecture (CSDA) and the documentation of the Common Statistical Production Architecture (CSPA).
Task teams in 2023:
- GSBPM / GAMSO revision
- GSIM revision
SDMX-DDI-GSBPM- Core Ontology for Official Statistics (phase2)
For more information please contact: Inkyung Choi
The Modernisation Group on Capability and Communication focuses on the organisational changes and the communication challenges necessary to support modernization in statistical organizations. The COVID-19 pandemic has put a lot of strains on the HR and communication departments of NSOs. From the start, the group has been adjusting their work programme into assisting statistical offices to cope with the changing working arrangements and the need for more extensive internal and external communication. Past output can be found on the Human Resources and more space.
The main focus in 2023 is on the following activities:
Future of work
- Ethics
- Market Research, Digital Marketing & Communication strategies
For more information please contact: Tetyana Kolomiyets
The Applying Data Science and Modern Methods Group was established in 2022. The group focuses on developing, implementing, promoting, supporting, and facilitating the implementation of data science and modern methods initiatives needed for statistical modernization of business processes.
Task teams in 2023:
- Understanding and Selecting Models
- Accelerating the Implementation of ML-based Solution in Data Editing
- International Framework on Responsible AI for Official Statistics
To join the team, please contact: Amilina Kipkeeva
The Blue Sky Thinking Network is the “ideas factory” for the statistical modernisation community. The Blue Skies Thinking Reports provide an environment scan on selected topics. These brief papers answer four key questions – what is the topic, what is the value for official statistics, what is already being done, what are the opportunities for further collaboration.
2024 topics:
- Digital Twins
- The Future of NSIs
For more information please contact: Andrew Tait
The ML Group 2021 and ML Group 2022 were continuation of the international community built on the HLG-MOS Machine Learning Project (ML 2019/2020). It was led by ONS and UNECE. The main outputs from the groups include:
Work Stream 1 (WS1) - From Idea to Valid Solution
Work Stream 2 (WS2) - From Valid Solution to Production
Work Stream (WS3) - Ethical Consideration in the Use of ML for Research and Statistics
Work Stream 4 (WS4) - Model Retraining
Work Stream 5 (WS5) - Quality Framework for Statistical Algorithm
Theme Group - Web-scraped Data
- Theme Group - Text classification
- Theme Group - Image analysis
- Theme Group - AIS data
- Theme Group - Quality of Training Data
- Theme Group - Model Retraining
- Theme Group - Infrastructure
The Sharing Tools Group is part of the High-Level Group for the Modernisation of Official Statistics (HLG-MOS) or ModernStats. It continues the work of the HLG CSPA implementation group and related activities from the MC Standards and the MC Production and Methods. Please find here the Terms of Reference for 2017. The main focus is on the following activies:
- Digitizing CSPA Document
- Promote Sharing of Services
- Provide Practical Technical Assistance to CSPA implementers
- Organisation of the ModernStats World Workshop (jointly with Supporting Standards Groups
- Adding CSPA Services to the CSPA Catalogue
Task teams:
- Digitising CSPA Document
- Adding CSPA Services
- Communicating CSPA
For more information please contact: Taeke Gjaltema