Submission deadline
One-page PDF proposals are due.
New Directions in Analyzing Text as Data
The New Directions in Analyzing Text as Data (TADA) meeting is a leading forum for interdisciplinary research on the study of politics, society, and culture through computational analysis of documents. Recent advances in NLP have the potential to revolutionize how we study human society. But using these tools effectively, reliably, and equitably requires continuous dialog between experts across computational methods, social sciences, and the humanities.
TADA 2026 is part of the Text as Data Association’s conference series, “New Directions in Analyzing Text as Data.”
Mark your calendar
One-page PDF proposals are due.
Decisions are sent to all authors.
Join us at the Krutch Theater on UC Berkeley’s Clark Kerr Campus.
Submit your work
TADA 2026 is a non-archival conference; there are no formal proceedings, and papers presented at the conference will not be distributed publicly by the conference. Presenters are expected to provide a paper to their discussant two weeks before the conference. We welcome any work, so long as it hasn’t been previously presented at a TADA conference. We also welcome individuals to volunteer to serve as discussants.
Organizers for this year are: Amber Boydstun, David Bamman, Dallas Card, David Mimno, Ella Montgomery, Denis Peskoff, Brendan O'Connor, Brandon Stewart, Adam Visokay, Leah Windsor, Naitian Zhou.
AI policy: AI use beyond copy editing is strongly discouraged. The conference organizers include authors of AI-detection research.
Getting here
Clark Kerr Campus · UC Berkeley
2601 Warring St, Berkeley, CA 94720 Open in Google MapsDowntown Berkeley and Ashby are each 1.5 miles from Clark Kerr Campus. Buses and bike shares are available, and the area is pedestrian-friendly.
Berkeley is a 30-minute drive from downtown San Francisco, longer in rush-hour traffic. Clark Kerr Campus has some parking.
Oakland (OAK) is the closest airport; San Francisco (SFO) is likely cheaper. Both connect to Berkeley via BART.
We’re happy to help with submissions, logistics, or anything else.
textasdata2026@gmail.com