Joel Chan

Joel Chan

Assistant Professor
Office: 
Hornbake 2118E
Telephone: 
301-405-5628

FOCUS

  • Understanding and creating generalizable configurations of people, computing, and information that augment human intelligence and creativity.

RESEARCH INTERESTS

  • Human-Computer Interaction
  • Design
  • Creativity Support Tools
  • Collective Intelligence & Crowdsourcing
  • Social Computing

EDUCATION

  • PhD, Cognitive Psychology, University of Pittsburgh, 2014
  • MS, Cognitive Psychology, University of Pittsburgh, 2012
  • BS, Psychology, University of the Ozarks, 2009

RECOGNITION

  • Best Paper Award at the ASME Design Theory and Methodology conference, the Design Studies Award 2015, and an NSF Doctoral Dissertation Improvement Grant.