Panos Ipeirotis

Panagiotis G. Ipeirotis (born 1976 in Serres, Greece) is a Professor and George A. Kellner Faculty Fellow at the Department of Technology, Operations, and Statistics at Leonard N. Stern School of Business of New York University.[1][2]

Panagiotis G. Ipeirotis
NationalityGreece
Alma materColumbia University, University of Patras
Known forCrowdsourcing
Awards2015 Lagrange Prize, IEEE International Conference on Data Engineering (ICDE 2005) Best Paper Award, National Science Foundation CAREER Award, ACM International Conference on Management of Data (SIGMOD 2006) Best Paper Award, 20th International World Wide Web Conference (WWW 2011)
Scientific career
FieldsComputer Science
InstitutionsNew York University

He is known for his work on crowdsourcing (especially Amazon Mechanical Turk)[3][4][5] and on integrating human and machine intelligence.[6]

He also worked on the intersection of data mining with economics, through the EconoMining project.[7] The finding that good spelling and grammar can lead to improved product sales was discussed in the media.[8] [9][10][11][12]

He is the author of the blog "A Computer Scientist in a Business School", where he often writes about crowdsourcing and other topics. Many of his blog posts are frequently cited in the press and in academic papers.[13]

Career

In 2004, Panos Ipeirotis was awarded a Ph.D. in Computer Science from Columbia University. In the same year, he joined New York University Stern School of Business where he is currently a Professor and George A. Kellner Faculty Fellow at the Department of Information, Operations, and Management Sciences. He also worked for oDesk (now UpWork) as Academic-in-Residence, and at Google as a Visiting Scientist.

Awards

Ipeirotis is the recipient of the 2015 Lagrange Prize in Complex systems for his contributions in the field of Social media, User-generated content, and Crowdsourcing.[14] Additionally, he has received nine "Best Paper" awards and nominations and a CAREER award from the National Science Foundation.[15][16][17]

References
  1. Personal home page of Panagiotis G. Ipeirotis
  2. NYU Stern page for Panagiotis G. Ipeirotis
  3. Washington Post: How you and Google are losing the battle against spam in search results
  4. MIT Technology Review: How Mechanical Turk is Broken
  5. Business Insider: 40% Of Amazon's Mechanical Turk Is Spam
  6. Awards for 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
  7. "The EconoMining project at NYU: Studying the economic value of user-generated content on the internet". Palgrave.
  8. Forbes: Zapos, Zappoz, or Zappos: Why Typos Are Good For Your Brand
  9. An ingenious application of crowdsourcing: Fix reviews' grammar, improve sales
  10. Harvard Business Review: The Value of Teaching Your Customers How to Spell
  11. Slate: Awsum Shoes. Is it ethical to fix grammatical and spelling errors in Internet reviews
  12. Freakonomics: Does Reviewer Quality Matter?
  13. "The Data Dude: NYU Stern's Panos Ipeirotis". Bloomberg.
  14. "The 2015 CRT Foundation - Lagrange Prize awarded to Panos Ipeirotis and Jure Leskovec". ISI.
  15. Reuters: How to ethically improve your customer reviews
  16. A Computer Scientist in a Business School
  17. Best Paper Award for the 20th International World Wide Web Conference: Towards a Theory Model for Product Search by Beibei Li, Anindya Ghose, Panagiotis G. Ipeirotis
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