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

Events

C2D3 event

Applied Process Mining for Management

Monday, 6 June 2022, 9.00am to Friday, 15 July 2022, 6.00pm

Course introduction 

Process Mining has revolutionized the way we analyze and optimize processes in business. Performance Problems traditionally caused long-winded manual investigations into the underlying business process looking at interview data, observations or deciphering process documentations. All of these traditional methods are time and cost consuming and only provide fractional insights. Process Mining uses a data-science approach to process science making analyses more objective, detailed and faster to obtain. 

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News and reports

News
9 February 2022

Cambridge awarded €1.9m to stop AI undermining ‘core human values’

Work at the Leverhulme Centre for the Future of Intelligence will aim to prevent the embedding of existing inequalities – from gender to class and race – in emerging technologies.  

Artificial intelligence is transforming society as algorithms increasingly dictate access to jobs and insurance, justice, medical treatments, as well as our daily interactions with friends and family. 

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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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