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Interdisciplinary events

 

Applications now open

C2D3 welcomes funding applications from University of Cambridge researchers for interdisciplinary events. Events may include seminars, workshops, conferences, training courses, or any other activity that supports interdisciplinary data science research and/or teaching.

Who can apply for funding?

Applicants must be from the University of Cambridge and a member of the C2D3 network. To become a C2D3 member, join us online.

Closing date

Application closing date Monday 10th February 2020. 

The review process is expected to take 4-6 weeks to complete. The review is conducted by the C2D3 Steering Committee and the final decision approved by the Executive Committee. 

Preference may be given to those who have not previously received a grant from C2D3 (previously known as Cambridge Big Data). 

Application process

Please read the attached documents below and submit the Application Form to coordinator@bigdata.cam.ac.uk

Workshop graphic

About us

The Cambridge Centre for Data-Driven Discovery (C2D3) brings together researchers and expertise from across the academic departments and industry to drive research into the analysis, understanding and use of data science.

The Centre is funded by a series of collaborations with partners in business and industry which have an interest in using data science for the benefit of their customers and their organisations. Our founding partner is Aviva, the UK’s leading insurance company. We work with industrial partners to build a portfolio of collaborative research projects, provide professional development opportunities for their own staff and access to the full breadth and depth of the University’s talent pool in the area of data science.

With unprecedented access to increasing volumes of data, our research ranges from the underlying fundamentals in mathematics and computer science, to data science applications across all six University Schools of Arts and Humanities, Biological Sciences, Clinical Medicine, Humanities and Social Sciences, Physical Sciences, and Technology.

In parallel, our research addresses important issues around law, ethics and economics, in order to apply data science to solve challenging problems for society.

C2D3 supports collaboration and knowledge transfer in this growing field.

Join us.