https://github.com/alan-turing-institute/infrastructure-drop-ins
This repo contains information and the schedule for the Turing Infrastructure drop-in sessions.
https://github.com/alan-turing-institute/infrastructure-drop-ins
Science Score: 23.0%
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Repository
This repo contains information and the schedule for the Turing Infrastructure drop-in sessions.
Statistics
- Stars: 3
- Watchers: 24
- Forks: 1
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Turing Infrastructure Drop-in Sessions
The Turing Infrastructure Drop-in sessions are currently led by the following teams: - Data Wrangling Team - Programme Management Unit (PMU) - Research Engineering Group (REG) - Tools, Practices and Systems (TPS)
These teams hold regular, informal, community-led sessions for students and researchers. Whether you have general questions on a topic, or are seeking specific technical guidance on, or just want to chat with friendly faces, our drop-in session is the perfect place for you! The sessions offer a friendly, welcoming, non-judgemental environment to receive advice or assistance without concern about being judged on technical knowledge, expertise or understanding. For examples of what we may be able to help with see our wiki 🧐
Even if we don't have an immediate answer for you in the session, fear not! Our teams are well-connected and consists of a diverse range of Research Software Engineers (RSEs), Research Data Scientists (RDSs), Research Application Managers (RAMs), Research Community Managers (RCMs), Data Wranglers and Research Project/Programme Managers (PMs) with each member having a unique set of skills and expertise. We can seamlessly put you in touch with other members in our teams, or researchers we have worked with so you can have a chat.
The drop-ins are hybrid: depending on who is available on each day, they will take place either on Zoom (you can find the link on Mathison) or in the office in the kitchen area on the 1st floor.
If you would like to attend a session, check out our schedule 📅👇 and read about the people 👋 who will be available on each day. Feel free to reach out to them head of time on Slack, or just come by! See you at the drop-in session! 🚀
If you have any general question, get in touch with the organisers:
- Ryan Chan - Research Engineering Group
- Jennifer Ding - Research Application Management
- Emma Karoune - Research Community Management
- Luis Santos - Data Wrangling Team
- Arielle Bennett - Programme Management Unit
Owner
- Name: The Alan Turing Institute
- Login: alan-turing-institute
- Kind: organization
- Email: info@turing.ac.uk
- Website: https://turing.ac.uk
- Repositories: 477
- Profile: https://github.com/alan-turing-institute
The UK's national institute for data science and artificial intelligence.
GitHub Events
Total
- Watch event: 1
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- Gollum event: 3
Last Year
- Watch event: 1
- Push event: 32
- Gollum event: 3
Committers
Last synced: about 1 year ago
Top Committers
| Name | Commits | |
|---|---|---|
| Ryan Chan | r****n@t****k | 13 |
| Federico Nanni | f****i | 7 |
| Emma Karoune | 5****e | 2 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: about 1 year ago
All Time
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- Total pull requests: 0
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Past Year
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- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0