Search Mastery Speaker Series: Joel Chan
Search Mastery for Interdisciplinary Literature Synthesis: Problems, Practical Solutions, and Research Frontiers
Dr. Joel Chan
University of Maryland
College of Information Studies
A crucial component of search mastery is knowing what kinds of queries are possible (or easier/harder) to answer in a given search system. In this talk, I will discuss what questions are possible (or easier/harder) to answer in existing search systems. I will focus mostly on what is hard/impossible, and share some current practical solutions I am aware of, as well as some research frontiers I am exploring.
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). 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. His research investigates systems that support creative knowledge work, such as scientific discovery and innovative design. His long-term goal is to help create a future where innovation systems are characterized by openness and sustainability. His research has received funding from the National Science Foundation and the Institute for Museum and Library Sciences, and received Best Paper awards from the ASME Conference for Design Theory and Methodology, the Journal of Design Studies, and the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD).