Panos Ipeirotis

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Panagiotis G. Ipeirotis
Nationality Greece
Fields Computer Science
Institutions New York University
Alma mater Columbia University
Known for Crowdsourcing
Notable awards 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)

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

He is known for his work on crowdsourcing (especially Amazon Mechanical Turk) and on integrating human and machine intelligence and media attention.[3][4][5] He also worked on the intersection of data mining with economics, through the EconoMining project.[6][7] The finding that good spelling and grammar can lead to improved product sales was discussed in the media.[8] [9][10]

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.[11][12][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