Round 3 applications are now open.
Graham Seed Fund
The Graham Seed Fund (GSF) is designed to support research that addresses pressing and emerging challenges in health care. By fostering partnerships across the health system, the GSF provides resources for University of Waterloo investigators to work directly with providers and clinicians. This collaborative, interdisciplinary model is intended to support the development of new knowledge, strengthen the evidence base, and inform future solutions in health technology and care delivery.
This initiative responds to one of University of Waterloo’s strategic priorities of creating a globally recognized hub for innovative and transformative health technologies. With funding made possible from the J.W. Graham Trust Endowment Fund, the GSF is primarily intended to cover the cost of hiring highly qualified personnel (HQP), such as graduate students or postdoctoral fellows, with the aim of leveraging the seed funding to generate preliminary research results that can be used in funding applications to external granting agencies and organizations.
As it has evolved, the Graham Seed Fund will be the primary means of supporting University of Waterloo initiatives as part of our participation in the CareNext coalition and with Waterloo Region health service partners. CareNext, established in 2024, is a partnership between The University of Waterloo and The Waterloo Regional Health Network (formerly Grand River Hospital and St. Mary’s General Hospital), aimed at advancing health innovation through ideation, experimentation, scaling, and research. Other key partners in the region include local health teams and Cambridge Memorial Hospital, all contributing to a collaborative model that strengthens knowledge generation and fosters system-wide innovation.
The Call - AI Adoption in Community Care
AI carries enormous promise for transforming healthcare, from supporting clinicians to improving patient outcomes and system design. Yet research on AI readiness in community-based care remains fragmented and underdeveloped. Despite rising interest in AI, there has been limited in-depth examination of the organizational, cultural, and practical conditions that shape readiness in smaller or resource-limited care settings. Much of the existing work centres on broad principles or narrow technical pilots, leaving a gap in research that examines the real conditions shaping readiness in community health settings.
This call seeks to advance research that addresses these gaps. We invite projects that explore the factors shaping responsible AI adoption in community care, generate new evidence about readiness, and develop models or approaches that can inform policy and practice. The emphasis is on building the knowledge base needed to guide future implementation – grounded in the realities of community providers but focused on producing transferable insights rather than immediate operational solutions.
Proposals must respond to lived frontline challenges, ensuring the work is needs-driven and the outputs are transferable across organizations, not confined to a single site.
Contact
For more information, please contact httsf@uwaterloo.ca.
For assistance on developing collaborative research partnerships with clinicians and healthcare providers, please contact Nadine Quehl, Senior Manager, Knowledge Mobilization and Partnerships (nquehl@uwaterloo.ca).