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Faculty Candidate Seminar:
Quality Control in Crowdsourcing Systems

January 20, 2017


Chenxi Qiu, Information Science and Technology, Penn State University

January 20, 2017 3:00 pm to 4:00 pm, 145/149 EE Building

Refreshments starting at 2:30 pm


Crowdsourcing allows many people to complete tasks of various difficulties with minimal recruitment and
administration costs. However, the lack of participant accountability may entice people to complete as
many tasks as possible without fully engaging in them, jeopardizing the quality of responses. In this talk, I
will first introduce a dynamic and time efficient strategy that selects Crowdsourcing workers in a cost
efficient manner, while ensuring high accuracy of the overall task. And after, I will introduce a dynamic
contract from requester to workers to incentivize high-quality work. In contrast to many existing pricing
policies, our contract design is not only adaptive to changes in workers’ behavior, but also adjusts pricing
policy in the presence of malicious behavior.

Chenxi Qiu received his B.E. degree in Telecommunication Engineering from Xidian University, Xi'an, China,
in 2009, and Ph.D. degree in Computer Engineering from Clemson University in 2015. He is now a Postdoc
Scholar in the College of Information Science and Technology at Penn State University. His research
interests include networking, cybersecurity, cloud computing, and cyber physical systems.