Dr. Dan Cohen

Associate Professor

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Biography

Dan Cohen is an Associate Professor in the Department of Geography and Planning at Queen's University. His work focuses on critical economic and urban geography, emphasizing the role of financial markets in shaping urban and social systems that impact everyday life. Since beginning his position at Queen's in September 2019, Cohen has conducted funded projects examining elements of the Canadian financial system, including a study of Canada's Social Finance Fund, which analyzed the policymaking processes and power dynamics that influence investments aimed at defining 'social good'. Cohen's ongoing research includes leading a SSHRC Insight grant on the spatial politics of monetary policy in Canada. His academic background includes a Master of Science in Planning and a PhD in Geography from the University of British Columbia, where his dissertation explored the intersections of market-based education policies and urban geographies in the United States. His research interests extend into critical studies of public finance and impact investing, as well as the examination of educational markets and student debt. Cohen is also interested in supervising students whose research aligns with themes in critical finance studies, urban policy, and related areas.

Research Interests

Experience

Associate Professor

2019-09-01 — Present

Queen's University • Kingston, ON, Canada

Conducting research and teaching in the Department of Geography and Planning, focusing on economic and urban geography.

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.