Reinventing Expertise in the Age of Platforms: The Case of Data Science



Shreeharsh Kelkar

Interpretive Social Scientist, UC Berkeley

Shreeharsh Kelkar is an interpretive social scientist interested in understanding how the new computing infrastructures of humans, algorithms, software, and data are changing labor, work practices, and expertise. His work has been published in New Media and Society and mentioned in the Financial Times. His dissertation, Platformizing Higher Education: Computer Scientists and the Making of MOOC Infrastructure, describes how computer professionals and their regime of expert knowledge are re-configuring our notions of educational expertise.  He is a lecturer in the Interdisciplinary Studies Field Major (ISF) at the University of California, Berkeley.  HeI finished his PhD in History, Anthropology, and Science, Technology, and Society (HASTS) at MIT.   He also has a Masters in Electrical Engineering from Columbia University and a Bachelors in Electronics from VJTI, Mumbai. He has also worked as a computer scientist for Avaya Research and as a summer intern ethnographer for Xerox.