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Restricted Call: Leverhulme Research Centres

Closing date: 
Tuesday, 2 February 2021

The aim of this call is to encourage new and transformative approaches that may establish or reshape a field of study and the understanding of a significant contemporary topic. The Trust has a reputation for encouraging higher-risk research which is often therefore fundamental or curiosity-driven – so-called 'blue skies' – and pan-disciplinary. The expectation is that Centres will draw upon a range of disciplinary perspectives and expertise, and applicants are invited to be bold in compiling their bids. 

The choice of research topic is left open, with the exclusion of studies of disease, illness and disabilities in humans and animals, or research that is intended to inform clinical practice or the development of medical applications. There is an expectation of multidisciplinary approaches that integrate the social sciences and humanities, rather than being framed primarily in physical and life science terms.  

Leverhulme Research Centres should not duplicate existing activity at a comparable scale, whether in Research Council-funded or university research centres. The Trust wishes to support research activity where it can be confident that the work will have substantial added-value compared to smaller initiatives in the same area of research. 

Each Centre, to be led by a named Director (providing intellectual and organisational leadership and ensuring delivery of the chosen research agenda), will be funded for up to £1m per annum over a period of between five and ten years to conduct innovative research of the highest intellectual and academic ambition. 

More information can be found here. Applicants should also refer to the following: 

Note: The information above is based on the current available guidance on the scheme. The Unversity will send an update should there be any change to this information, once the call opens. 


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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.

  • 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 

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