The graduation from Strategic Research Initiative to Interdisciplinary Research Centre powered Cambridge Big Data to a bigger stage, bringing us the Cambridge Centre for Data-Driven Discovery (C2D3).
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Volunteer your time. The Global fight against COVID-19 requires all communities to work together. To greater our knowledge of this novel virus, the data needs to be analysed fast and efficiently. You could help.
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Continue your learning online or find a new interest in data science. We have collated a list of interesting textbooks.
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Addressing multidisciplinary research challenges by bringing together expertise from across the University, both in the applications of Big Data, data science and in underpinning technologies and concepts.
The digital revolution is one of the great social transformations of our time. How can we make the most of it, and also minimise and manage its risks?
Find people
Search or browse profiles of over 300 C2D3 researchers at Cambridge.
Research
C2D3 research brings together fundamental research into data analysis methods with applications in science, medicine, technology and society.
Events
External event
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Thursday, 20 August 2023, 3.00pm to 4.30pm
The second in The Turing Lecture mini-series exploring the role of AI and data science in our lives post-lockdown.
News and reports
News
29 April 2023
Strategic Partner: Aviva
Insuring its future
If you were asked to name some companies at the cutting edge of data science, the likes of Google, Amazon and Facebook might spring to mind. Insurance companies like Aviva might not.
Yet insurance has been ahead of this particular curve for decades. After all it’s a business which has been running on big data and algorithms long before these disciplines became part of our collective consciousness.
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.
Supports and connects the growing data science research community
Builds research capacity in data science to tackle complex issues
Drives new research challenges through collaborative research projects
Promotes and provides opportunities for knowledge transfer
Identifies and provides training courses for students, academics, industry and the third sector