New York University
Stern School of Business
Prasanna Tambe is an Assistant Professor of Information, Operations and Management Sciences (IOMS) at New York University Stern School of Business. His research focuses on the economics of IT labor. Much of this research has been conducted by analyzing emerging sources of Internet data to measure labor market activity at finer levels of detail than have been possible through traditional data sources. Specific research interests include how the spread of skills required to support new IT innovations (such as big data technologies) affects the diffusion of new technological innovations, as well how recent waves of technological change have impacted workers’ labor outcomes and career paths. This research has been supported by the Alfred P. Sloan Foundation, and has been published or is forthcoming in a number of academic journals including Management Science, Information Systems Research, Communications of the ACM, and Information Economics and Policy. His research has won several awards, such as the Best Published Paper in Information Systems Research in 2012. He is a co-author of “The Talent Equation: Big Data Lessons for Navigating the Skills Gap and Building a Competitive Workforce”, published by McGraw Hill in 2013. Professor Tambe received his S.B. and M.Eng. in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology and his Ph.D. in Managerial Science and Applied Economics from the Wharton School of the University of Pennsylvania.