Marti A. Hearst
Professor
University of California, Berkeley
About
I am a professor in the UC Berkeley School of Information and in EECS in BAIR.
In Fall 2016 I'll be teaching a new undergraduate course on data visualization.
Check out our cross-campus NLP Seminar.
Contact:
[email protected]; 510-642-8016; 307B South Hall
To those applying for internships, please read this advice.
Research
My research is focused in the following areas:
- Search Engines and their User Interfaces
- Teaching at Scale
- Information Visualization
- Computational Linguistics (Text Mining and Analysis)
- Tools for the Digital Humanities
- Social Technology (Blogs, Tags, Online Personals)
- Usability in Web Sites, Voting, Security
Online Book!
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!
Teaching
Current and past courses include:
- Information Visualization and Presentation
- Applied Natural Language Processing
- User Interface Design
- Analyzing Big Data with Twitter
- Information Organization and Retrieval
Recent Highlights
Upcoming: Keynote at IJCAI in Melbourne.
Interested in teaching infoviz? Check out the Innovations in Pedagogy Workshop at Viz 2017!
The SF Bay Area Data Science in Education Meetup is a fantastic group!
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.