Dr. Arvind Karunakaran

Assistant Professor

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Biography

Arvind Karunakaran is an Assistant Professor in the Department of Management Science and Engineering at Stanford University, where he also holds a courtesy appointment in Sociology. His research primarily focuses on the interplay of authority, accountability, and workplace dynamics, especially in the context of technological change. With a Ph.D. from the Massachusetts Institute of Technology (MIT) Sloan School of Management, his work emphasizes ethnographic methods, participant observation, and interviews to address empirical questions that existing literature does not fully resolve. In recent studies, he has investigated human-AI augmentation and its implications in the workplace, contributing to a deeper understanding of algorithmic accountability and organizational behavior. His publications appear in leading journals such as the Administrative Science Quarterly, Organization Science, and the Academy of Management Journal. Karunakaran has been recognized with several prestigious awards for his contributions to the field of sociology and management, reflecting his commitment to advancing knowledge about work and technology.

Research Interests

Experience

Assistant Professor

2018-08-01 — Present

Stanford University • Stanford, CA

Assistant Professor in the Department of Management Science and Engineering, with a courtesy appointment in Sociology.

Awards

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Published Paper Award

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Gerard J. Tellis Junior Faculty Paper Award

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W. Richard Scott Article Award

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Responsible Research Management Award

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Future Organizations Inaugural Fellowship

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Runner-up, ASQ Paper based Dissertation

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Fellowship

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Finalist, Conference Paper Award

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Jagdeep & Roshni Singh Faculty Fellow

Courses

MS&E 386 MS&E 280 MS&E 180 MS&E 408 MS&E 382 SOC 386 SOC 360

Requirements for Stanford University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:26
Reading
Required:26
Writing
Required:26
Speaking
Required:26
Total
Required:100
GRE General
Verbal
Required:160
Quantitative
Required:165
Analytical Writing
Required:4.5
Overall
Required:4.5
Prerequisites
Bachelor degree from an accredited institution Strong background in mathematics and programming
Application Checklist
  • Statement of Purpose
  • Three letters of recommendation
  • Official transcripts
  • Resume/CV
Specialization Notes

The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.