Menu

Home / Opportunities / Coordinated call: UKRI Cross research council responsive mode pilot scheme: Round 1

Warning message

Cambridge-based members of C2D3 can log in to view more information about this opportunity.

Coordinated call: UKRI Cross research council responsive mode pilot scheme: Round 1

Closing date: 
Monday, 26 June 2023

UKRI has announced the Cross research council responsive mode pilot scheme: Round 1. This new pilot scheme will fund 36 awards of up to £1,200,000 for projects advancing breakthrough interdisciplinary ideas that transcend, combine or significantly span disciplines. Interdisciplinary research applications that fall within a single research council boundary are ineligible for this scheme. 

Eligible Principal Investigators and Co-investigators are those with a contract of employment at lecturer level or equivalent that either (1) extends to beyond the duration of the proposed grant (or, if not employed by the submitting organisation, a formal non-salaried arrangement that extends to beyond the duration of the proposed grant), or (2) an assurance from the submitting organisation that, if the proposal is successful, a pre-existing contract of employment (or pre-existing formal commitment to provide support if not employed at the organisation) at lecturer level or equivalent will be extended beyond the end date of the grant.

UKRI will hold webinars for this scheme on 13th and 22nd June, 2023 (register here). Please note that applications are also open for the Interdisciplinary Assessment College to support the new cross research council responsive mode pilot scheme through panel assessment.

For more information about this scheme, please visit the scheme page.

University Internal Coordination:  

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 
  • Serves as a gateway for external organisations 

Join us