
I am a Sociology PhD candidate at the University of Michigan. My research spans economic sociology, organization theories, technology governance, and science and technology studies. I examine social and institutional mechanisms that shape technological development, with a focus on the development of artificial intelligence (AI). I use quantitative and computational social science methods for the analysis.
My dissertation examines the development of autonomous vehicles (AV) and its effects on industrial transformation and regulatory governance. I particularly focuses on the role of competition in governing the behaviors of firms and regulators and their relationships around new technology. The first chapter studies the collision between two powerful industries, namely the automotive and the tech industries. I examine how intra- and inter-industry competition shapes the evolution of organizational networks. The second chapter theorizes inter-state competition in the knowledge economy and how it influences the diffusion of regulations. The last chapter examines how competitive diffusion of policies shape different discourses around AV technologies.
Sang Teck Oh
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Economic Sociology/Organization Theory
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Science and Technology Studies (STS)
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Technology Policy (Artificial Intelligence)
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Sociology of Innovation
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Computational Social Science (Text Analysis)
Sang Teck Oh, “Embedded Engineers: How Regional Professional System Shapes Innovative Practices?”
Sang Teck Oh, “Laboratorization of Cities: How Cities Became Testbeds for the Development of Autonomous Vehicles”
Sang Teck Oh & Jason Owen-Smith, “Competition, Power, and Reproduction of Science”