PhD Defense - Zhi Zhai
|Start:||4/11/2013 at 2:00PM|
|End:||4/11/2013 at 5:30PM|
|Location:||384C Fitzpatrick Hall|
Faculty and students are welcome to attend the presentation.
Light refreshments will be served.
Zhi Zhai, a Computer Science and Engineering PhD candidate, will present and defend his doctoral thesis on Thursday, April 11, 2013, at 2:00 pm in 384C Fitzpatrick Hall in the College of Engineering.
His advisor, Dr. Gregory Madey, will be in attendance along with his committee members, Dr. Brian Blake, Dr. David Hachen and Dr. Douglas Thain.
TECHNOLOGY-FACILITATED CROWDSOURCING SYSTEMS
The latest advances in information and communication technology have made it possible for researchers to design innovative crowdsourcing systems that can harness the human intelligence of online communities. While crowdsourcing system designs have progressed substantially through engineering breakthroughs, some challenges in the crowdsourcing model however remain unanswered, such as (1) Workﬂow Design: in various crowdsourcing models, what roles can crowds play and how can trustworthy results be eﬀectively generated from their inputs? (2) Worker/System Synergy: in an open system, what are the proper ways that workers can be recruited and motivated, so that “wisdom of crowds” can unlock its full potential? (3) Human Computation Theory: at a higher level, what are the commonalities and distinctions between human intelligence and artiﬁcial intelligence?
With lessons learned and experiences gained from four projects, this dissertation aims to provide new perspectives and insights into answering these questions. When presenting research observations and results, we discuss a variety of technological and organizational considerations in crowdsourcing system designs.