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TADA 2023 : New Directions in Analyzing Text as Data
TADA 2023 : New Directions in Analyzing Text as Data

TADA 2023 : New Directions in Analyzing Text as Data

UMass Amherst, USA
Event Date: November 09, 2023 - November 10, 2023
Submission Deadline: August 04, 2023
Notification of Acceptance: August 28, 2023
Camera Ready Version Due: October 26, 2023




Call for Papers

With apologies for cross posting: 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. TADA 2023 invites applications for research presentations on new work related to text-as-data methods and applications. Our programs from past meetings (e.g. 2022) demonstrate this community’s history of bringing together researchers, practitioners, and scholars from many fields.

Key Dates
Submission deadline: August 4th
Notification of acceptance: August 28th
Registration opens: September 5th
Papers circulated to discussants: October 26th
Conference: November 9th and 10th, Amherst, MA

Abstract Submissions
Proposals to present work are due August 4, and consist of a brief, 300-word abstract in text format rather than a full paper. TADA 2023 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.

Link for submissions: https://docs.google.com/forms/d/e/1FAIpQLSfpsWgM44dfn3HRrQVq3uGXstBvRN6rbuO8gJLchMVYApcaww/viewform

In addition to oral presentations and posters, TADA 2023 will have a doctoral consortium. We have limited funding to cover travel and lodging expenses for PhD students, who will be matched with experienced mentors from complementary fields to offer critiques to specific work and to provide guidance in how to do effective interdisciplinary work.

Send questions for organizers at: [email protected].


Credits and Sources

[1] TADA 2023 : New Directions in Analyzing Text as Data


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