Demand Management and Quality Management at UofG
Demand managed calls are funding calls which have an institutional cap on the number of applications the University can submit. As a result, there is an internal selection process for each demand managed call. The Strategic Research Initiatives (SRI) team manages the process for most demand managed calls within the University however some calls may also be managed by Colleges.
SRI also oversees quality management processes at UofG when a strategic decision has been taken to ensure submitted applications meet a quality threshold.
Our guide to demand management provides an introduction to this topic and an overview of the reasons demand or quality management may be implemented:
Demand Managed and Quality Managed Calls & Processes
Active: Royal Society of Edinburgh (RSE) Research Leadership Programme
Learn more about how we select our candidates for the RSE Research Leadership Programme.
Closed: Blavatnik Awards for Young Scientists
Find out more about our selection process for Blavatnik Awards for Young Scientists calls.
Closed: Leverhulme Doctoral Scholarships
Find our more about how we approach demand management for this triennial opportunity.
Closed: Leverhulme Research Leadership Awards
Learn more about our selection process for the Leverhulme Research Leadership Awards.
Closed: Philip Leverhulme Prizes
Learn how we coordinate nominations for Philip Leverhulme Prizes.
Closed: Rosetrees NEXT Award
Read more about our selection process for the Rosetrees NEXT Award.
Closed: U21 Mid-Career Researcher Programme
Learn about our approach to selecting nominees for the U21 Mid-Career Researcher Programme.
Use of AI in Application Development
Applications submitted to internal demand management and quality management processes at the University of Glasgow are expected to comply with the University of Glasgow's Generative AI Guidance for Researchers and the Funders joint statement: use of generative AI tools in funding applications and assessment.
All applicants should review these documents and are responsible for ensuring any application they submit complies with the guidance and parameters provided. Key points we would like to highlight from these resources include:
- Any use of generative AI tools must be accompanied by critical analysis and oversight on the part of the user
- Work that is not your own effort or is without appropriately transparent acknowledgement of sources or tools used (e.g. work submitted that is the product of Generative AI) does not meet crucial requirements for assessment or academic/research integrity
- Applicants must not use generative AI tools to generate an entire application, or sections of an application, without human involvement
- Reviewers must not input our confidential funding applications into generative AI tools to develop their reviews