Dr. Kelley Packalen

Associate Professor

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Biography

Kelley Packalen is an Associate Professor in the Smith School of Business at Queen’s University, where she also serves as the Special Advisor on Academic Integrity to the Vice Provost for Teaching and Learning. Her research primarily explores themes of academic integrity, ethical decision-making, and the sustainability of social enterprises, especially in the context of work integration social enterprises (WISEs) that support individuals with mental health challenges. Packalen is currently leading multiple research initiatives including a study on the effectiveness of WISE business models and investigating the ethical use of generative AI in higher education. With a solid academic background, she holds a PhD in Industrial Engineering and a Master's in Sociology from Stanford University. Throughout her career, Packalen has been actively involved in various funded research projects and has presented her findings at numerous prestigious conferences. Besides her administrative roles, she teaches courses in entrepreneurship and innovation across undergraduate and graduate levels, using a multidisciplinary approach to equip students with essential skills in contemporary business environments.

Research Interests

Experience

Associate Professor

2012-01-01 — Present

Smith School of Business, Queen’s University • Kingston, ON

Teaching and researching in the areas of strategy, organization, and entrepreneurship.

Assistant Professor

2004-01-01 — 2012-01-01

Queen’s University • Kingston, ON

Developed courses and conducted research in business strategies.

Special Advisor on Academic Integrity

2023-01-01 — Present

Queen’s University • Kingston, ON

Advising on academic integrity policies and practices.

Awards

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Research Seed fund project

2024-01-01
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SSHRC Institutional Grant – Explore Grant

2019-01-01

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.