Call for Papers
TADA 2023: New Directions in Analyzing Text as Data
https://tada2023.org/
November 9th and 10th, 2023
UMass Amherst
We are pleased to announce the Call for Papers for the 2023 New Directions in Analyzing Text as Data (TADA 2023), to be held November 9th and 10th, 2023, in Amherst, Massachusetts on the campus of UMass Amherst. This interdisciplinary conference is a leading forum for research on the study of politics, law, society, and culture through computational analysis of documents. Advances in natural language processing 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 science, and the humanities.
We invite applications for research presentations of new work on theoretical, methodological, and practical aspects of text-as-data research, including applications. This is the 13th annual TADA meeting; programs from past meetings<https://textasdata.github.io/events/> (e.g. 2022<https://tada2022.org/>, 2021<https://tada2021.org/>) demonstrate this community's history of bringing together researchers, practitioners, and scholars from many fields.
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 has not been previously presented at a TADA conference. We also welcome individuals to volunteer to serve as discussants.
Submission Guidelines: Please submit abstracts (up to 300 words) at the conference website: https://tada2023.org/. When submitting, please indicate your preferred presentation format (panel, poster, or either). All submissions will undergo a rigorous peer-review process by the program committee.
Important 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
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.
Diversity leads to stronger science. We actively seek, welcome, and encourage people with diverse backgrounds, experiences, and identities to apply and attend. While many participants have attended TADA for years, we also eagerly welcome new researchers!
For further information and updates, please visit our conference website: http://tada2023.org<https://tada2023.org/>.
Questions for organizers at: [log in to unmask]
Conference Organizing Committee:
* Brendan O’Connor ([log in to unmask])
* Douglas Rice ([log in to unmask])
* Katherine Keith
* Justin Gross
* Mohit Iyyer
* Weiai Wayne Xu
The Program Committee includes the above organizers and members of the Text as Data Association<https://textasdata.github.io/>; full list to be announced on website.
Note: The conference organizers are committed to providing accessible and inclusive accommodations for participants. If you have any specific requirements or concerns, please reach out to the organizing committee in advance, and we will make every effort to accommodate your needs.
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