I am a professor in the UC Berkeley School of Information and in EECS in BAIR.
Contact:
hearst@berkeley.edu; 510-642-8016; 307B South
Hall
Office hours: No in person office hours at this time.
To those interested in doing research with me, please read this page.
My research is focused in the following areas:
Check out Search User Interfaces, the
first academic book on this topic (Cambridge University
Press, Fall 2009). On the web site, you can Read the Full Text!
Current and past courses include:
Keynote talk at the KDD Data Science with Human in the Loop (DaSH) workshop.
Thank you to Allen Instititue for AI (AI2) for two generous gifts supporting our augmented reader project, as well as key collaboration!
Thank you to Sloan for the grant for the augmented reader project!
Thank you to Amazon for two AWS ML Research Awards!
Thank you to the Bloomberg for Data Science Research grant!
How to fix word clouds (Medium) as well as the IEEE TVCG journal paper.
ACL Presidential Address (with notes) pdf video
Academics and industry research on learning technology at the Baylan conference in Berkeley!
Keynote at IJCAI in Melbourne video slides
Interested in teaching infoviz? Check out the Innovations in Pedagogy Workshop at Viz 2017!
First time in Korea; keynote at Computing in the 21st Century conference.
Fantastic final projects posted for Infoviz course.
Congrats to Kyle Booten on best paper runner up for NAACL 2016!
Posted slides on Teaching as Coaching from our IEEE Infoviz panel on Teaching Across the Researcher-Practioner Divide.
Thank you iSchool students for the honor of the 2015 Excellence in Teaching Award!
ACL 2015 Keynote talk: slides and paper now available.
Keynote talk at ECIR in Vienna, March 2015.
Keynote talk at the Society for Computers in Psychology, Nov 2014.
I'm honored to have received the 2014 iSchool student-initiated teaching award.
Keynote talk at ACM SIGIR 2014: Seeking Simplicity in Search User Interfaces.
Social Interactions Grant to study subgroups with online learning environments. Thank you to Google for supporting our and others' research!
Twitter Big Data course high-fived by All Things D, Center for Digital Education, and, of course, Twitter.