Aviva

Aviva - Founding partner of C2D3

Our founding partner is Aviva, the UK’s leading insurance company. We work with industrial partners to build a portfolio of collaborative research projects, provide professional development opportunities for their own staff and access to the full breadth and depth of the University’s talent pool in the area of data science.

Aviva and Cambridge partnership video

Find out how Aviva and the University of Cambridge are working together, applying cutting-edge data science to real world problems.

"The partnership has hit the ground running. I put that down, firstly, to a huge commitment to the partnership from both sides." Professor Andy Neely, Pro-Vice Chancellor for Enterprise and Business Relations

Aviva annual report 2020

Annual Report

The first annual Cambridge-Aviva Partnership Report highlighting a successful first year of world-class research, collaborations and training. Available to read here.

"We have been able to offer data science training at a level of excellence that simply wouldn’t be possible on our own.

We unashamedly see data science as an increasing source of competitive advantage, and equipping our people with cutting-edge skills just makes good business sense."

 

Aviva case study

Insuring its Future

The Aviva story, as part of the University's case study of Strategic Partners.

"A new partnership between Aviva and Cambridge is asking what do advances in technology and data science mean for the future of insurance?"

 

Research

October 2019 saw the beginning of two Aviva-funded PhD projects in the Mathematics and Computer Science departments: 

  • Jan Stantzuk is a PhD student on the Cambridge Mathematics of Information PhD programme. Jan is studying ‘Trustworthy machine learning for ovarian cancer imaging’. 

  • Michelle Lee is a PhD student in the Computer Lab at Cambridge, her research is titled ‘Context and fairness in machine learning’.

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 
  • Acts as a gateway for external organisations 

Join us.