Spring 2022 Conference on AI and Knowledge Work
March 31st & April 1st, 2022
UNC – Chapel Hill Friday Center
In celebration of the school’s 90th Anniversary, please join the UNC School of Information and Library Science (SILS) for its second Conference on AI and Knowledge Work.
Full Conference Schedule
The conference will consist of three panels, a keynote address as well as breakout sessions to allow for discussions and networking. View the conference schedule here: go.unc.edu/AI-KnowledgeWork-Schedule
Registration and Attendance
The Conference will take place with face-to-face and virtual components over a two-day period. Registration for in-person and virtual attendance can be completed here: https://unc.az1.qualtrics.com/jfe/form/SV_4T68I9iVSIC8p4q.
Keynote Speaker: Dr. Daniel Russell
Keynote Presentation Title: The Working Culture and Tech of Tech Companies: What works? What doesn’t? Why?
Abstract: Knowledge work has always been in flux ever since it was defined as a distinct kind of work back in 1959. What knowledge workers actually DO has changed dramatically since the seminal introduction of email and personal workstation applications. It continues to change as online information makes the notion of “knowing” a very different proposition when the network of knowledge becomes knowledgeable itself. In this talk, I’ll review the past 40 years of knowledge work in terms of the technology that has enabled much of this kind of work, but also in terms of the human side of knowledge working, identifying work practices that can lead to knowledge-working success in modern corporate cultures.
Bio: Dr. Daniel Russell is a senior research scientist and 16 year veteran at Google. Within Google, Dan conducts research on how people collect, organize and understand large amounts of information when they search the web.
As an individual contributor, Dan is best known for his studies of the human-computer interaction models of people’s sensemaking behavior for knowledge-driven work. He also teaches an online Massive Open Online Course (MOOC) “PowerSearchingWithGoogle,” which has helped 4.5 million students become expert searchers.
Before joining Google, Dan held research positions at IBM’s Research Almaden Research Center (San Jose, CA), Apple’s Advanced Technology Group (ATG) and Xerox PARC. Dan has also been an adjunct lecturer in computer science at the University of Santa Clara, Stanford University, the University of Zürich, and has taught classes at the University of Maryland, College Park and the University of Colorado, Boulder.
His B.S. is in Information and Computer Science from U.C. Irvine. His M.S. and Ph.D. degrees are in Computer Science (specializing in AI) from the University of Rochester (1983).
He blogs weekly about search mastery skills at SearchResearch1.blogspot.com
Dan is a Fellow of the ACM Computer Human-Interaction Society. His latest book is The Joy of Search: An Insider’s Guide to Going Beyond the Basics, available from MIT Press and fine bookstores everywhere.
Special thanks to our sponsors providing support to the conference:
