Eligibility: Interdisciplinary collaboration between Medicine and Artificial Intelligence / Machine Learning
Preliminary Internal submission deadline: 22nd February 2022
Funder deadline: 28th April 2022 (5 pm)
Notification of funding decision: October 2022
Funding period: 3 years
Funding amount: £300,000
Restricted Call: Rosetrees Trust Interdisciplinary Prize 2022 to stimulate collaborative research between Medicine and Artificial Intelligence / Machine Learning
The aim of the Rosetrees 2022 Interdisciplinary Award is to encourage collaboration between Clinicians/Scientists and experts in Artificial Intelligence/Machine Learning. We hope that the merging of skills and experience in these areas will lead to innovative research that addresses unmet clinical needs. Applicant proposals must include details on how artificial intelligence and machine learning can result in patient benefit within 5-10 years.
Projects that address logistical problems within the NHS that will result in more efficient services, reduce costs and/or improve patient experience are of interest.
The interdisciplinary award is for £300,000 paid over 3 years. This funding can be used to support any aspect of the proposed research. We will fund directly incurred costs associated with the project, including salaries, consumables and other running costs. We will not fund directly allocated costs, indirect costs or PhD tuition fees. We will consider travel costs (max. £1000).
Funding can be used to fund salaries for post-doctoral research associates, research technicians and research assistants. In special cases, we may consider funding PhD stipends. In these cases, the prospective PhD student must be embedded within a larger programme of research (e.g. a clinical trial or a programme grant) and there must be a clear case that Rosetrees support will provide additional impact.
3. Eligibility Requirements
Applications should be interdisciplinary and clearly represent collaboration between medicine and AI/ML. They can relate to any disease or medical condition that affects a significant proportion of the population.
The 2 lead applicants (medicine and AI/ML) should be tenured academics within the host institution. Only one ID award application can be made per host institution. However, in exceptional circumstances, we can consider applications from two departments in two separate host institutions if, for example, one of the institutions does not host a medical school. In these cases the lead institution will be the one hosting the medical department and will be the only application allowed from that institution. Please contact Rosetrees in advance if more than one institution is involved.
4. University Internal Selection Process
This substantial award draws many applications and it is for each Institution/University to select the single best application for submission to Rosetrees.
UK Institutions can submit a maximum of one application, so an internal selection process will be set up according to the University’s Restricted Calls policy.
If you are interested in applying, please send your application to firstname.lastname@example.org by 22nd February 2022
Each application should include:
• The Internal Selection Form
• Two letters of support: one from each Head of Department of the two PIs, confirming their support for the project and that the respective Departments are happy to host it.
Once the best application has been selected by the Institution/University, our Research and Development Officer will issue a link which will enable a full application to be made using our Flexigrant online application portal. Further details of the application process will be found in the instructions section of the online application form.
Please note that the deadline for submission of full applications to Rosetrees is 5pm on 28th April 2022.
6. Evaluation Process
All applications will be initially assessed by an internal Rosetrees Scientific Panel.
Shortlisted applications will then be reviewed by a panel of independent reviewers who will assess a range of criteria, such as: experience and track record of the lead applicants; importance of the research; the interdisciplinary nature of the project; how well placed the researchers are to carry out the study; impact of the research and potential for translation and future clinical benefit; whether the scale and nature of funding is appropriate.
The highest-scoring applications will then be reviewed by a panel of specialist reviewers who can comment on the specific area of work.
The final funding decision will be subject to internal approval.
7. Contact Information
For general enquiries regarding eligibility and the application process, please contact Sheree Oxenham (email@example.com).
To apply initially, or for queries about the University selection process, please contact the University of Cambridge Research Strategy Office at firstname.lastname@example.org. They will be managing the process and will be able to provide the guidelines.