Capacity Development
Global Network Creating/Discovering New Groups
Creating groups
New subgroups can be created by any member of the Global Network.
Groups are useful to:
- help users access relevant content directly,
- support your workstreams,
- connect with relevant peers working on a specific topic, and
- get direct access to help by peers.
The ideal scenario to assess relevance is if the group is simply providing a space where a defined community, gathered around a common challenge, can start exchanging knowledge and directly usable information.
Groups can be:
- public/open (accessible by all LinkedIn users)
- private/closed (only members of the group can access it).
If you want to create a new subgroup affiliated with the Global Network, please contact the two co-Leads of the Global Network: Alexander Loschky on LinkedIn, Sokunpanha You on LinkedIn
Discover subgroups affiliated with the Global Network on LinkedIn:
Groups affiliated with the Global Network can be found in the welcome note at the top of the Global Network group feed (see left image below) and in the “About this group” section (ℹ️ symbol in the group header, see right image below). Some groups will require a "Request to join", some other groups will be open to all LinkedIn users.
Examples of already existing groups on the Global Network:
Subgroups of the Global Network:
- AI and Machine Learning (coming soon)
Learn and share experiences using machine learning and AI.
- SDMX User Forum
A platform for knowledge sharing, problem solving and collaboration open to everyone. SDMX users are invited to ask or answer questions, find solutions, and connect with experts and peers.
- Population and Housing Census (coming soon)
An open group on all topics surrounding population and housing censuses.
- Asia and Pacific Collaborative
A network for statisticians, data officers, data scientists, and geospatial information experts working on official statistics in Asia and Pacific.
- Friends of Official Statistics (coming soon)
The FOS discuss issues affecting official statistics and the Fundamental Principles of Official Statistics and is open to former chief statisticians.