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.