Wednesday, June 8th, 2016 9:00-10:30, Auditorium
Slides: PDF (4.9MB) PPTX (3.9MB)
Crowdsourcing is becoming increasingly popular in many fields. In this talk, I will describe a set of systems that we built over the last few years, which combine human and machine intelligence, to create systems that are better than using humans or computers alone. I will cover a diverse set of topics surrounding the creation of such systems, including worker quality control, fair payment schemes, vulnerability detection for machine learning systems, and how to use online advertising systems for targeting knowledgeable users. Time permitting, I will conclude with an illustration of how Mechanical Turk workers and mice are not that different after all.
Panos Ipeirotis 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. He received his Ph.D. degree in Computer Science from Columbia University in 2004. He has received nine “Best Paper” awards and nominations, a CAREER award from the National Science Foundation, and is the recipient of the 2015 Lagrange Prize in Complex Systems, for his contributions in the field of social media and crowdsourcing.
