About Us

 

Cambridge Centre for Data-driven Discovery (C2D3)

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A University of Cambridge Interdisciplinary Research Centre

Cambridge Centre for Data-Driven Discovery (C2D3) is an Interdisciplinary Research Centre, connecting people, research, and training across all the University’s six Schools and beyond. C2D3 is home to the largest data science and AI community within the University and supports an extensive external network including industry representatives.

Strategic Objectives

  1. Supports and connects the growing data science and AI research community
  2. Builds research capacity in data science and AI to tackle complex issues
  3. Drives new research challenges through collaborative research projects
  4. Promotes and provides opportunities for knowledge transfer
  5. Identifies and provides training courses for students, academics, industry and the third sector
  6. Acts as a gateway for external organisations 

Our activities at a glance

 

Communication

Collated opportunities from across the University via website, social media and mailing lists. Jobs, funding, events

 

Community

Supporting a connected community

 

Connections

Identifying potential collaborators or partners for research projects and grant applications

 

Event delivery

C2D3 fully-organised and delivered

events. Workshops, seminars and conferences

 

Event support

Help with planning and setup. Website, registrations, fees, venues, catering

 

 

External relationships

Managing a strong relationship between Cambridge and external bodies. The Alan Turing Institute

 

Industry partners

Serve as a gateway for industry and

public sector stakeholders to engage

with Cambridge academics in AI and Data Science across the whole University

 

Open door

Enquiries from external individuals and organisations interested in Cambridge,

data science, AI etc.

 

Project management

Supporting PIs and research teams

towards successful projects.

Procurement; recruitment; logistics

 

 

Research grants

Providing small research grants. C2D3 Early Career Researcher Seed Fund

 

Thematic areas

Sub-group C2D3 Computational Biology; research, education, knowledge-sharing , annual symposium

 

Training

Provide skills development opportunities for students, researchers and academics across Schools and Departments – with the Centre for Research Informatics Training

 

Working together

Delivering activities with groups, centres and initiatives from across the University, for greater impact and outcomes. AI@Cam, Accelerate Programme for Scientific Discovery

 

 

Supporting C2D3

 

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Donations

We welcome funding from all sources and from those who are equally passionate about supporting data science and AI. For more information about donating to C2D3, you can visit the Development and Alumni Relations website. If you have any queries, please do get in touch.

Sponsorship

C2D3 is grateful to the following organisations for providing sponsorship of events:

  • Aviva, The Alan Turing Institute, Cambridge Press and Assessment, Intel, Isaac Newton Trust, NERC Discipline Hopping Grant, Celonis

C2D3 is grateful to the following organisations for providing sponsorship of C2D3 Computational Biology (previously CCBI) events:

  • Applied Biosystems, ARM, AstraZeneca, Caliper, Cambridge Epigenetix, Cambridge-MIT Institute, Cambridge University Press, Eagle Genomics, Eurofins MWG Operon, GeneService, GeneStack, GlaxoSmithKline, IBM, Illumina, Intel, Isilon Systems, Life Technologies, Lion Bioscience, Microsoft Research, Oxford University Press, Roche, The Royal Society, SGI, Takeda.

     

Leadership

 


 

Members

Name
Prof Robert Calderbank (Duke University)

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Prof Robert Calderbank (Duke University)

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Prof Yonina Eldar (Weizmann University)

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Prof Yonina Eldar - Weizmann

Name
David Hepworth (Aviva)

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Lior Horesh (IBM)

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Lior Horesh IBM

Name
Professor Kristin Lauter (Meta)

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Professor Kristin Lauter (Meta)

Name
Orlando Machado (Lego)

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Orlando Machado

Name
Aditya Nori (Microsoft)

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Aditya Nori (Microsoft)

Name
Professor Jon Rowe (University of Birmingham)

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Professor Jon Rowe (University of Birmingham)

Name
Dr Lisa Strug (University of Toronto)

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Dr Lisa Strug (University of Toronto)

 

Data Science and AI Ecosystem at Cambridge

 

A flavour of the constantly evolving environment

 

Contact us: 

coordinator@c2d3.cam.ac.uk

 

Cambridge Centre for Data-Driven Discovery
Centre for Mathematical Sciences
 
Wilberforce Road
 
Cambridge CB3 0WA
 
United Kingdom