简体中文
EnglishWhat is the Cambridge Centre for Data-Driven Discovery (C2D3)?
Updated
C2D3 (c2d3.cam.ac.uk) is the University of Cambridge's centre for data science, machine learning and AI. It acts as a hub that brings together researchers from across academic departments and industry partners to advance research into the analysis, understanding and use of data science and AI. It is most useful to you if you are a Cambridge researcher or student looking for collaborators and events, or an external organisation seeking a route into Cambridge's data science community.
What C2D3 does
The centre's stated purpose is to connect expertise that is otherwise scattered across departments and industry. Its site is organised around a small set of activity areas:
- Events and talks — a channel for seminars and community events.
- Supporting your research — signposting for researchers who need help or connections.
- Industry — a route for external parties to engage with the centre.
- Opportunities — listings relevant to the community.
- Education — teaching-related activity.
C2D3 explicitly states that it welcomes both external parties and University of Cambridge staff and students, so it is not a closed internal group.
The community and profile directory
A central feature is a searchable profile directory of over 300 researchers at Cambridge. You can search it to find people working in a particular area, or apply to join the directory yourself if you are a Cambridge researcher. The site also publishes blog posts and research community highlights, and offers a mailing list you can join to receive updates.
Who it is for
| You are… | What C2D3 offers |
|---|---|
| A Cambridge researcher or student | Profile directory, events/talks, research support, opportunities, education activity |
| An external organisation | An industry engagement route and an open invitation to connect with the community |
| Someone exploring Cambridge data science/AI work | Public news, blog posts and community highlights |
A sense of the research on show
The site's news feed illustrates the breadth of work associated with the community. Recent items include a University-led review finding that children and young people broadly support health data research but want stronger safeguards, transparency and involvement in decisions; an AI tool for mapping smallholder crops being validated in Senegal; a UK consortium trial (Operation Blue Skies) testing AI-driven contrail avoidance; and Cambridge researchers contributing to the AI Materials Foundry, a global network launched by Cambridge-based start-up CuspAI.
How to get started
- Browse the profile directory to find researchers in your area of interest, or apply to join if you are at Cambridge.
- Join the mailing list to hear about events, talks and opportunities.
- Check the events/talks and opportunities sections for current activity.
- If you are external, use the industry section as the entry point for engagement.
The site does not publish pricing or membership fees, so treat access details as something to confirm through the contact and join routes rather than assuming any particular cost model.