Dr. Lindsey Cameron

Assistant Professor

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Biography

Lindsey D. Cameron is an Assistant Professor of Management at Wharton School, University of Pennsylvania, and a Distinguished Faculty Scholar, holding an additional appointment in the sociology department. Dr. Cameron's research centers around the gig economy, algorithmic management, and worker well-being. Her ongoing ethnographic study focuses on the ride-hailing sector and the impact of algorithms on managerial control. Recent projects include examining the effects of the COVID-19 pandemic on gig workers and analyzing how gig economy business models adapt to different global contexts. Her work has been published in prestigious journals, such as Administrative Science Quarterly and Organization Science, and has garnered attention from major media outlets. Additionally, she has been recognized with numerous teaching and research awards throughout her career. Cameron is also a Faculty Affiliate at the Berkman Klein Center for Internet & Society at Harvard University, actively contributing to discussions on the future of work in an increasingly digital landscape.

Research Interests

Experience

Assistant Professor

— Present

Wharton School, University of Pennsylvania • Philadelphia, PA

Teaching and researching issues related to management, particularly within the context of the gig economy and algorithmic management.

Awards

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Responsible Research in Management Award

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Wharton Teaching Excellence Award

Requirements for University of Pennsylvania

Doctorate Program
Requirements
GPA Requirement
Required:3.6
GRE General
Verbal
Required:162
Quantitative
Required:162
Overall
Required:162
GMAT
Total Score
Required:728
Overall
Required:728
TOEFL
Total
Required:115
Prerequisites
Bachelor's degree or equivalent Strong quantitative background
Application Checklist
  • Academic Transcripts
  • Letters of Recommendation (2-3)
  • Resume/CV
  • Statement of Purpose
  • Essays
Specialization Notes

Wharton Doctoral programs cover fields like Finance, Marketing, Management, and Operations, Information and Decisions.