Submitted by Rachel Gardner on Mon, 11/07/2022 - 17:16
In a new funding programme, University of Cambridge researchers pursuing innovative applications of AI in research or real-world contexts can apply for small grants through The Accelerate Programme (which is based in this Department) and the Cambridge Centre for Data-Driven Discovery.
The funding can support activities from events and workshops to teaching, software development, or research, with a focus on interdisciplinary collaboration.
Promoting 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, Accelerate Programme Director Professor Neil Lawrence says: "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 funding programme is open to researchers from across disciplines at the University of Cambridge who want to use AI to accelerate their research and would benefit from a small amount of funding to kick-start their work or catalyse new collaborations.
If interested, apply here by 17:00 on 9 September 2022.
For further details, see the FAQs on the Accelerate Science website or email accelerate-science@cst.cam.ac.uk
