Find people

Search or browse profiles of over 300 C2D3 researchers at Cambridge.
Research network


C2D3 research brings together fundamental research into data analysis methods with applications in science, medicine, technology and society.


External event
Monday, 20 January 2020, 9.30am to 5.00pm

In collaboration with the Humanities and Data Science Turing Interest Group, the final event of the CAS Network will take place at The Alan Turing Institute on 20 January 2020.

By bringing together experts from various disciplines and backgrounds, this closing event of the Network aims to explore and discuss why, and how to best, integrate computational thinking into archival theory and practice.

News and reports


Research Fellow (Fixed Term)

Closing date 19 January 2020

A position exists for a Post-Doctoral Research Associate (the Aviva Research Fellow) from 1 March 2020, in the Department of Applied Mathematics and Theoretical Physics to work for the Cambridge Centre for Data Driven Discovery (C2D3) in partnership with Aviva, a founding member of C2D3. The co-directors of C2D3 are Professor Mihaela Van der Schaar (Mathematics) and Professor Anna Vignoles (Education).

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.

Follow us on Twitter