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 Big Data addresses this multidisciplinary research challenge by bringing together expertise from across the University, both in the applications of Big Data and in underpinning technologies and concepts. Cambridge Big Data represents research in over 50 departments.
Our cross-disciplinary activities are organised around five cross-cutting themes:
- Theoretical Foundations
- Data Management and Processing
- Ethics, Access and Impact
- Making Big Data Work
We identify, on an ongoing basis, emerging challenges and project areas which cut across discipline boundaries and create new opportunities to address these broad and important questions.