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조교수

연구분야
인공지능·정보서비스, 소셜 컴퓨팅, 인터랙티브 컴퓨팅
전공
Human-Computer Interaction, Social Computing
학위
PhD, Carnegie Mellon University, 2020
웹사이트
http://joseph.seering.org/
이메일
전화번호
3589
교수연구실
604, N1
연구실

Joseph Seering is an assistant professor in the School of Computing at KAIST, where he leads the Collaborative Social Technologies Lab. His work focuses on understanding the social and organizational dynamics of conflict and coordination on online social platforms in order to drive the development of new forms of social tools. He has received awards for his papers at the ACM CHI, CSCW, and CHI PLAY conferences, and was named one of the CCC/CRA Computing Innovation Fellows of 2021. He is also an affiliated fellow at the Yale University Social Media Governance Initiative and a member of the Trust and Safety Professionals Association. Joseph received his Ph.D. from the Human-Computer Interaction Institute at Carnegie Mellon University and was a postdoctoral researcher in the Computer Science Department at Stanford University and a fellow at the Stanford Human-Centered AI Institute.

 

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