Versions Compared
Key
- This line was added.
- This line was removed.
- Formatting was changed.
Image Modified
The HLG-MOS oversee oversees and managemanages:
Four collaboration Collaboration groups: Supporting Standards, Sharing, Developing Organisational Resilience, Blue SkiesCapabilities and Communication, Applying Data Science and Modern Methods, Blue Skies and Machine Learning Community
Modernisation Projects : 2018 projects2023: Data Governance for Interoperability Framework 2, Cloud for Official Statistics and ModernStats Carpentries
Specialised topics: DIS, Data Collection, sde and confid
Data Editing and Confidentiality
Modernisation Expert group meetings, workshops and seminars
Section | ||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
Panel | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|
| ||||||||||
|
Column | ||
---|---|---|
| ||
Image Removed Image Added Public web space of the UNECE High Level Group for the Modernisation of Official Statistics (HLG-MOS) Space managed by: Thérèse Lalor HLG-MOS 2020 video 360p.mp4 | Click here to watch in YouTube | Click here to Watch in Vimeo |
Panel | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|
| ||||||||||
Panel | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
| ||||||||||||
| MCOOFE | |||||||||||
time | 16w | |||||||||||
reverse | true | |||||||||||
content | titles |
|
Panel | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|
| ||||||||||
May 2023 - Statistics Netherlands: Synthetic data opens up possibilities in the statistical field Feb 2023 - GSBPM implementation National Statistics Office Georgia July 2021 - UNECE: New framework sets out a strategic approach to statistical communication UNECE: Machine learning paves the way for modern, efficient statistical production Statistics Netherlands: CBS explores possible privacy preserving techniques ESCAP: Asia-Pacific Guidelines to Data integration for Official Statistics |
Panel | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|
| ||||||||||
Machine Learning for Official Statistics Clickables: GAMSO 1.2 | GSBPM 5.1 | GSIM 1.2 CSPA Service catalogue | CSPA 2.0 Synthetic Data for Official Statistics: a starters guide Modernisation Maturity Model and the Roadmap for Implementation |
Section | ||||
---|---|---|---|---|
|
CSS Stylesheet |
---|
#shareContentLink {display: none;}
#comments-section {display: none;}
#labels-section {display: none;}
#likes-section {display: none;}
#children-section {display: none;}
#theme-header {display: none;} |