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Funding Call: New funding programme to help deploy AI for research and innovation

Closing date: 
Friday, 9 September 2022

The Accelerate Programme in collaboration with C2D3 is offering small grants for Cambridge University researchers pursuing innovative applications of AI, in research or real-world contexts. Funding can support a variety of activities, including events, workshops, teaching, software development, or research, with a focus on interdisciplinary collaboration.

Successfully deploying AI to tackle real-world challenges requires effective interdisciplinary collaboration. Developing these collaborations requires time and resources to bring together potential research partners, investigate the different ways of framing a challenge, and co-design potential solutions. Scaling successful interventions might require new ways of convening, innovations in training, or novel software tools. Often this work falls outside the scope of routine funding calls.

Accelerate Science’s funding programme will help fill this gap, offering small grants that can be deployed flexibly to start or scale interdisciplinary collaborations in the use of AI for research and innovation.

Introducing the funding call, Professor Neil Lawrence said: “There’s an enormous amount of excitement about what the Cambridge University research community can achieve with wider adoption of AI. To support the collaborations vital to successfully deploying AI, Accelerate Science is providing seed funding for innovative projects that bring researchers together across disciplinary boundaries to advance the application of AI in research or real-world contexts.”

This call is open to researchers from across disciplines at the University of Cambridge wanting to use AI to accelerate their research, and who would benefit from a small amount of funding to kick-start their work or catalyse new collaborations.

Full details, application form and contact details: https://acceleratescience.github.io/research-funding.html

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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