Funder

EPSRC: BIOREME Sandpits and Pump-Priming Grants

Added date

20/07/2023

Closing date

28/07/2023

Call summary

This workshop will explore the opportunities and challenges for integrating biophysical modelling (i.e. mathematical modelling of physical processes in biological systems) into the understanding and treatment of airways disease (e.g. Asthma, COPD, Cystic Fibrosis, Bronchiectasis) and the use of multi-scale models to improve treatment delivery and design more efficient and effective clinical trials. The £10,000 pump-prime funds will support further activities for successful projects to mature into competitive grant applications. This may include e.g. a grant-development workshop focussed on the particular problem identified, or the collection of pilot data to support a grant proposal. Note that funding will be awarded at 80% FEC and so the award is conditional on agreement between the awarded institution(s) and BIOREME, which will need to be reached after the event. Note that the final funding awarded to successful proposals will be expected to fall within 10% of the original cost proposed at the sandpit and need not use all of the funding available. Depending on the costings proposed at the sandpit, it may be that more than one proposal can be funded. The BIOREME team will facilitate onward activities that develop from this funding.

Scientific scope

Asthma; Clinical Microbiology; Clinical Pharmacy & Pharmacology; Intracellular Biophysics; Respiratory Medicine

PI eligibility

Country of applicant institution Unrestricted Nationality of researcher Unrestricted Applicant type Academic Institution; Commercial or Private Sector; Government or Public Sector; Individuals: Early Career and Emerging in Field; Individuals: Graduate Student or Pre-doc; Individuals: Mid-Career to Established in Field; Non-profit Eligibility Note We aim to bring together a diverse range of expertise to explore these challenges including researchers, clinicians, industry and charity representatives. We welcome experts from areas including but not limited to mathematics, data science, imaging, biological sciences, and engineering, as well as medical expertise in chonic airways disease.