Dr. Tracy Jenkin

Associate Professor

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Biography

Tracy Jenkin is an Associate Professor at the Smith School of Business, Queen's University, and a Faculty Affiliate at the Vector Institute for Artificial Intelligence. Her research focuses on human-AI collaboration and its impacts on decision-making, including non-rational decision-making tendencies and explainable AI. A prolific author, Dr. Jenkin has published in numerous high-impact journals on topics including analytics, artificial intelligence, environmental sustainability, and technology management. She holds a PhD in Management (MIS) from Queen’s University and has over ten years of experience in the software industry. Her academic interests also encompass teaching analytics, AI, and project management across various graduate courses. Tracy has been involved in significant academic and professional services, aiming to bridge theoretical foundations with practical applications of AI in business contexts.

Research Interests

Experience

Associate Professor

2016-01-01 — Present

Smith School of Business, Queen's University • Kingston, ON, Canada

Tenured faculty conducting research and teaching courses on analytics and AI.

Adjunct Assistant Professor

2008-01-01 — 2016-01-01

Smith School of Business, Queen's University • Kingston, ON, Canada

Held teaching and research responsibilities before promotion.

Teaching Fellow

2007-01-01 — 2008-01-01

Smith School of Business, Queen's University • Kingston, ON, Canada

Provided support in teaching and administrative tasks.

Faculty Affiliate

2019-01-01 — Present

Vector Institute for Artificial Intelligence •

Collaborated on research projects related to AI.

Requirements for Queen's University

Master Program
Requirements
GPA Requirement
Required:3.3
TOEFL
Listening
Required:20
Reading
Required:22
Writing
Required:24
Speaking
Required:22
Total
Required:88
IELTS
Overall
Required:7
Prerequisites
Honours Bachelor degree Background in Computing, Mathematics, Statistics, or Engineering
Application Checklist
  • Online application
  • Statement of Research Interest
  • Curriculum Vitae
  • Two academic references
  • Transcripts
Specialization Notes

Department of Computing offers research-based, project-based, and course-based patterns.