Joined Stern 2004
Leonard N. Stern School of Business
Kaufman Management Center
44 West Fourth Street, 8-84
New York, NY 10012
E-mail pi1@stern.nyu.edu
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Panos Ipeirotis is a Professor and George A. Kellner Faculty Fellow at the Department of Technology, Operations, and Statistics at the Leonard N. Stern School of Business of New York University. His research focuses in the areas of crowdsourcing, machine learning, web data management, and social media analytics. He is widely regarded as the world's leading expert in building human-machine loop systems, that integrate human and machine intelligence to generate outcomes that are better than what humans alone or machines alone can achieve. He has also received more than ten “Best Paper” awards and nominations, and a CAREER award from the National Science Foundation. For his contributions in the field of social media, user-generated content, and crowdsourcing, he received the 2015 Lagrange Prize in Complex Systems.
PhD, Computer Science, 2004
Columbia University
MSc, Computer Science, 2001
Columbia University
BSc, Computer Engineering & Informatics, 1999
University of Patras, Greece
| Lagrange Prize | 2015 | |
| Best Paper Award for years 2011-2014, Management Science, ISS/INFORMS | 2014 | |
| Best Paper Award, WWW 2011 | 2011 | |
| Best Paper Runner Up Award, KDD 2008 | 2008 | |
| Best Paper Award, SIGMOD 2006 | 2006 | |
J Wang, PG Ipeirotis, F Provost (2017)
Cost-Effective Quality Assurance in Crowd Labeling
Information Systems Research 28 (1), 137-158
J Attenberg, P Ipeirotis, F Provost (2015)
Beat the Machine: Challenging Humans to Find a Predictive Model’s “Unknown Unknowns”
ACM Journal on Data and Information Quality 6 (1), 2015
M Kokkodis, PG Ipeirotis (2015)
Reputation transferability in online labor markets
Management Science 62 (6), 1687-1706
PG Ipeirotis, E Gabrilovich (2014)
Quizz: targeted crowdsourcing with a billion (potential) users
Proceedings of the 23rd international conference on World wide web (WWW 2014)
A Ghose, P Ipeirotis, B Li (2012)
Designing ranking systems for hotels on travel search engines by mining user-generated and crowd-sourced content
Marketing Science 31 (3), 493-520
A Ghose, PG Ipeirotis (2011)
Estimating the helpfulness and economic impact of product reviews: Mining text and reviewer characteristics
IEEE Transactions on Knowledge and Data Engineering 23 (10), 1498-1512
G. Paolacci, J. Chandler, P. Ipeirotis (2010)
Running Experiments on Amazon Mechanical Turk
Judgment and Decision Making, Vol. 5, No. 5, August 2010
VS Sheng, F Provost, PG Ipeirotis (2008)
Get another label? Improving data quality and data mining using multiple, noisy labelers
Proceeding of the 14th ACM SIGKDD Conference (KDD 2008)
PG Ipeirotis, E Agichtein, P Jain, L Gravano (2007)
Towards a query optimizer for text-centric tasks
ACM Transactions on Database Systems (TODS) 32 (4), 21
N Archak, A Ghose, P Ipeirotis (2007)
Deriving the pricing power of product features by mining consumer reviews
Management Science 57 (8), 1485-1509