News and reports


Accelerate's Machine Learning Clinic helps Cambridge University researchers resolve engineering issues they might encounter when implementing machine learning methods. Simply log your issue via the Clinic’s form and one of the Clinic’s engineers will follow-up with you. The clinic is designed to help with challenging software issues a scientist encounters in all phases of the research pipeline when utilising machine learning.


Successfully funded projects to pursue innovative applications of AI in research and real world contexts.


Tracking changes in the ‘soundscape’ – as Dr Sarab Sethi calls it – is at the heart of his pioneering approach to monitoring biodiversity.


C2D3 are delighted to announce the winners of the Early Career Researcher Seed Fund for 2022! 

The aim of the grants was to provide a step towards an independent research career with applications focusing on cross-disciplinary data science or AI. The calibre of applicants was high and C2D3 were able to award five Early Career Researchers with £2000 grants each. 

Activities funded by the grants include student internships, workshops and seminars, and establishing an expert network. The researchers will complete their projects by January 2023. 


The University of Cambridge today launches a new research centre dedicated to exploring the possibilities of a world shared by both humans and machines with artificial intelligence (AI).

The Centre for Human-Inspired Artificial Intelligence (CHIA) brings together researchers from engineering and mathematics, philosophy and social sciences; a broad range of disciplines to investigate how human and machine intelligence can be combined in technologies that best contribute to social and global progress.

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 and AI. C2D3 is an Interdisciplinary Research Centre at the University of Cambridge.

  • Supports and connects the growing data science and AI research community 
  • Builds research capacity in data science and AI 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 
  • Acts as a gateway for external organisations 

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