AIML4OS

The AIML4OS Project: AI and Machine Learning for Official Statistics

Project Overview

The CSO has a coordination role in a major project aimed at supporting the use of AI and Machine Learning in the production of official statistics.

The project, which includes 15 countries across Europe, is called "AI and Machine Learning for Official Statistics (AIML4OS)", and it will run for four years from April 2024 to March 2028.

Project Goal & Outputs

The overarching goal of the project is to provide a comprehensive set of resources that can be used by staff across the European Statistical System (ESS) to implement AI and machine learning in their organisations.

These resources will include:

• Guidelines and implementation frameworks.

• Working use cases.

• Sample code.

• Information on technical resources.

Project Structure

The project is developed through 13 Work Packages (WPs). Six of these are 'Supporting Workpackages', which have operational functions and deliver cross-cutting goals for the project. The remaining seven are 'Use Case Workpackages' which explore specific themes within AI/ML that are believed will offer huge opportunities for statistical production in the coming years.

Supporting Workpackages

• WP 1: Project management and coordination

• WP 2: Communication and community engagement

• WP 3: ESS AI/ML lab: Technical infrastructure and organisational setup

• WP 4: AI/ML state-of-play and ecosystem monitoring

• WP 5: Standards, methodological and implementation frameworks

• WP 6: Knowledge repository and training material

Use Case Workpackages

• WP 7: AI/ML on earth observation data, satellite imagery

• WP 8: Editing Focus - Statistically valid and efficient editing and imputation in official statistics by AI/ML

• WP 9: Imputation Focus - Statistically valid and efficient editing and imputation in official statistics by AI/ML

• WP 10: From text to code – Experiences and potential of the use of AI/ML for classifying and coding

• WP 11: Applying ML for estimating firm-level supply chain networks

• WP 12: Large language models

• WP 13: Generation of synthetic data in official statistics: techniques and applications

Project Leadership & Management

The CSO is responsible for the overall management of the AIML4OS project which is covered under WP1 (Project management & co-ordination). A core project team within the CSO has been created to manage, monitor and deliver all aspects of the project.

WP1 Objectives

The overarching aim of WP1 is to achieve the overall objectives of the AIML4OS project, building on collaborative synergies among the members of the consortium and through pro-active communication exchange and involvement of NSIs and external partners within and beyond the consortium.

The specific objectives are to support, coordinate and facilitate the consortium activities in the project, while also taking measures to ensure adequate quality levels of the outputs that can be realised and remain sustainable across the whole ESS.

Knowledge Transfer

The CSO also have Observers assigned to workpackages from the project. These Observers are learning and absorbing valuable knowledge from the various use cases and sharing it within the CSO as the project progresses.

Project Team & Contact Details

Coordinator (C) and Co-Partners

Ireland (C), Austria, Denmark, France, Germany, Italy, Luxembourg, Norway, Spain, Netherlands, Slovenia, Sweden, Poland, Portugal

For more information:

• Project Information on the EU Funding and Tenders Portal;
• Project Webpage on Eurostat portal for Collaboration in Research and Methodology for Official Statistics (CROS)
• Register for project newsletter
• LinkedIn page for AIML4OS project