Panagiotis G. Ipeirotis

Panagiotis  G. Ipeirotis

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
Personal website
Personal blog
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Biography

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.

Research Interests

  • Crowdsourcing and Human Computation
  • Human-AI Collaboration
  • Data Quality and Data Mining
  • Economics of Online Platforms and User-Generated Content
  • Online Labor Markets
  • Applied Machine Learning

Courses Taught

  • AI/ML Product Management
  • Databases for Business Analytics
  • Dealing with Data
  • Dealing with Data
  • Introduction to Programming and Data Science
  • Projects in Programming and Data Science

Academic Background

PhD, Computer Science, 2004
Columbia University

MSc, Computer Science, 2001
Columbia University

BSc, Computer Engineering & Informatics, 1999
University of Patras, Greece

Awards & Appointments

 
ACM SIGKDD Test of Time Award 2020
"45 under 45" Greek Scientists, Kathimerini 2018
Lagrange Prize in Complex Systems 2015
Best Paper Award, AAAI HCOMP 2014
Best Paper for Years 2011–14, Management Science, ISS/INFORMS 2014
Google Focused Research Award, $1.5M 2012
Best Paper Award, WWW 2011
Best Paper Runner-Up, ACM KDD 2008
NSF CAREER Award 2007
Best Paper Award, ACM SIGMOD 2006
Best Paper Award, IEEE ICDE 2005

Selected Publications

Kokkodis and Ipeirotis (2023)
The Good, the Bad, and the Unhirable
Management Science 69(11)

Kokkodis and Ipeirotis (2021)
Demand-Aware Career Path Recommendations: A Reinforcement Learning Approach
Management Science 67(7)

Difallah, Filatova, and Ipeirotis (2018)
Demographics and Dynamics of Mechanical Turk Workers
WSDM

Kokkodis and Ipeirotis (2016)
Reputation Transferability in Online Labor Markets
Management Science 62(6)

Ghose, Ipeirotis, and Li (2012)
Designing Ranking Systems for Hotels on Travel Search Engines
Marketing Science 31(3)

Archak, Ghose, and Ipeirotis (2011)
Deriving the Pricing Power of Product Features by Mining Consumer Reviews
Management Science 57(8)

Ghose and Ipeirotis (2011)
Estimating the Helpfulness and Economic Impact of Product Reviews
IEEE TKDE 23(10)

Paolacci, Chandler, and Ipeirotis (2010)
Running Experiments on Amazon Mechanical Turk
Judgment and Decision Making 5(5)

Sheng, Provost, and Ipeirotis (2008)
Get Another Label? Improving Data Quality and Data Mining Using Multiple, Noisy Labelers
KDD

Elmagarmid, Ipeirotis, and Verykios (2007)
Duplicate Record Detection: A Survey
IEEE TKDE 19(1)

Areas of Expertise

Company

  • Amazon
  • Google
  • Microsoft

Industry

  • Information Technology
  • Internet & Computers
  • Technology

Technology, Operations & Statistics

  • Artificial Intelligence
  • Database Management
  • E-commerce
  • Web Search