Faculty Research and Scholarship Symposium

Faculty Research and Scholarship Symposium

Abstract Submission Form (Due Date: September 14, 2026)
Oral Presentation Option: Please select the session in which you would like your abstract to be considered for an oral presentation during the Faculty Research & Scholarship Symposium.

Discovery to Impact:
Session Lead: Dr. Scott Parrott
This session highlights scholarship, innovation, and initiatives that have translated discovery into measurable impact on patient care, community health, healthcare delivery, education, or policy. Presenters are encouraged to showcase how their findings, programs, or interventions have moved beyond the conceptual stage to create tangible benefits for individuals, organizations, or populations. Abstracts should demonstrate clear connections between research outcomes and real-world applications.AI in Education:
Session Lead: Dr. Jessica Gomes
Artificial intelligence is rapidly transforming educational practice across health professions. This session will explore current and emerging AI tools, technologies, and resources that support teaching, learning, curriculum design, assessment, faculty development, and student success. Presentations may include practical applications, implementation experiences, lessons learned, ethical considerations, and innovative strategies for integrating AI into educational environments.Clinics:
Session Lead: Dr. Ryan White
This session shines spotlight on the clinics within the School of Health Professions. Faculty are invited to share innovative clinical initiatives, program developments, quality improvement projects, patient care successes, interdisciplinary collaborations, pros and cons of using AI tools in the clinical setting, and emerging opportunities. Presentations should highlight recent achievements, best practices, and exciting advancements that enhance patient outcomes, educational experiences, or clinical operations.AI in Research:
Session Lead: Dr. Antonina Mitrofanova
Artificial intelligence is creating new opportunities to accelerate discovery and advance scientific inquiry. This session focuses on the application, development, and evaluation of AImethods in research. Topics may include machine learning, predictive analytics, natural language processing, data science approaches, AI-enabled research tools, and studies examining the effectiveness, challenges, or implications of AI in research settings. Presenters are encouraged to share novel methodologies, findings, and future directions for AI-driven research.
Poster Presentation Option: If your abstract is not selected for an oral presentation, would you like it to be considered for the open poster session?
Poster Presentation Only Option
SHP Faculty Presenter: (Primary Author):
Presentation Title:
Authors and Co-Authors (List all authors in the order they should appear in the program.):
Author Approval:
Abstract Submission Guidelines

· Maximum of 300 words

· One figure may be included, if applicable

· Tables are not permitted

· Use the structured format below
Background:

0/300
Objective:

0/300
Methods:

0/300
Results:

0/300
Conclusions:

0/300
Submission Confirmation: A confirmation email will be sent upon successful submission.
Submitter Email Address:
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Faculty Research and Scholarship Symposium

Abstract Submission Guidelines

Submission Confirmation: A confirmation email will be sent upon successful submission.