The purpose of this workshop is to ensure that the work is community driven and that activities and initiatives are aligned with the implementation of the HLG‑MOS vision, avoiding duplication and maximizing efficiency. The expected outputs are a set of agreed and prioritized implementation actions.
The target audience are all participants in the 2021 HLG-MOS work programme and statisticians with technical knowledge of modernisation of statistics combined with a broader understanding of the statistical process and its modernisation, including some knowledge about international developments in this area.
This workshop was extended with Webinars of the two 2021 HLG-MOS projects on Synthetic Data Sets and on Input Privacy-Preservation Techniques.
Monday, 15 November 2021
|Opening and Welcome: Lidia Bratanova and Taeke Gjaltema (UNECE), Stéphane Dufour (Statistics Canada, co-chair HLG-MOS Executive Board) and Jennifer Banim (CSO Ireland, co-chair HLG-MOS Executive Board)|
|Keynote Speech: Anil Arora chair of the HLG-MOS|
|Input Privacy-Preservation Techniques Project. Dennis Ramondt (Statistics Netherlands and UNECE Project Manager)|
|Synthetic Data Project. Kate Burnett-Isaacs (Statistics Canada and UNECE Project Manager)|
Proposal 1: Project extension for Input Privacy Preserving Techniques
Dennis Ramondt (Statistics Netherlands and UNECE Project Manager)
Proposal 2: Project proposal for Data Governance Framework to Achieve Data Interoperability
Juan Muñoz López (INEGI, Mexico)
Proposal 3: Project proposal for Meta Academy
Kate Burnett-Isaacs (Statistics Canada) and Eric Anvar (OECD)