Faculty Directory | Panagiotis G. Ipeirotis

Panos Ipeirotis is the Merchants' Council Professor of Technology and Business at NYU Stern, with courtesy appointments at the Courant Institute of Mathematical Sciences and the NYU Center for Data Science. He received his Ph.D. in Computer Science from Columbia University in 2004. His research focuses on crowdsourcing and human computation, including foundational work on Amazon Mechanical Turk, data mining, and the economics of online information systems. His work has received over 31,000 citations (h-index: 61, Google Scholar). Ipeirotis received the Lagrange Prize in Complex Systems in 2015 for pioneering contributions to crowdsourcing, human computation, and the economic value of user-generated content, and the ACM SIGKDD Test of Time Award in 2020 for his contributions to data quality assurance for crowdsourced data. He has also received the NSF CAREER Award (2007), a $1.5M Google Focused Research Award (2012), the INFORMS ISS Best Paper Award in Management Science (2014), and Best Paper Awards at ACM SIGMOD, IEEE ICDE, WWW, and AAAI HCOMP. He is founding co-Editor-in-Chief of Collective Intelligence (SAGE/ACM) and has served as Technical Program Co-Chair for The Web Conference 2018, for AAAI HCOMP 2025, and for ACM EC 2012. His research and public writing, including his blog "A Computer Scientist in a Business School", have been covered in The New York Times, The Economist, The Wall Street Journal, The Financial Times, Wired, TIME, and Business Insider, among others. Beyond academia, he co-founded the AI consulting firm Detectica with Foster Provost in 2015. Acquired by Compass in 2019, the firm's "Likely to Sell" predictive analytics system became a significant revenue contributor, generating hundreds of millions of dollars in incremental attributable revenue annually. He served as Academic-in-Residence at Upwork and as an early advisor to Integral Ad Science, held research roles at Google and Meta Reality Labs, and collaborated with the World Bank on a 2015 report examining digital labor markets in the developing world.