Research

Modern technology allows for the collection of immense volumes of data. The challenge of converting these data into useful and actionable information is an activity known as data science, or 'Big Data'.

The datasets that research now handles are not only large, but complex, containing unstructured, heterogeneous data, human language, image and video, and completely new approaches are required to handle them. From physics to the life sciences, from image analysis to social networks,  the challenges in managing and analysing large and high-dimensional datasets require increasingly interdisciplinary work. 

Cambridge Centre for Data-Driven Discovery addresses this multidisciplinary research challenge by bringing together expertise from across the University, both in the applications of Big Data, data science and in underpinning technologies and concepts. C2D3 represents research in over 50 departments.

Our cross-disciplinary activities are organised around five cross-cutting themes:

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.

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.