Joel Chan is an Assistant Professor in the University of Maryland’s College of Information Studies (iSchool) and Human-Computer Interaction Lab (HCIL), and Senior Fellow at the Center for Advanced Study of Communities and Information (CASCI). His research explores systems that support creative knowledge work, particularly ones that are open and sustainable. Being in an iSchool (school of information), he conceives of “systems” very broadly, from individual cognitive skills, interfaces, tools and practices, to collaborative and organizational dynamics and tools, all the way to sociotechnical infrastructures within which knowledge work is done. He is broadly interested in creative work across many domains, but has spent the most time considering the domains of design and scientific discovery. Previously, he was a Postdoctoral Research Fellow and Project Scientist in the Human-Computer Interaction Institute (HCII) at Carnegie Mellon University, and received his PhD in Cognitive Psychology at the University of Pittsburgh.