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		<property:AnnShortSummary rdf:datatype="http://www.w3.org/2001/XMLSchema#string">Submit to #lansi2023 (Oct 13-14, New York City) by June 15: https://www.tc.columbia.edu/lansi/conference/</property:AnnShortSummary>
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		<property:AnnText rdf:datatype="http://www.w3.org/2001/XMLSchema#string">The 11th annual meeting of
The Language and Social Interaction Working Group (LANSI)
 
Teachers College, Columbia University
New York City
October 13-14 (Fri &amp; Sat), 2023
 
INVITED SPEAKERS 

Tanya Stivers, UCLA; 
Steven Talmy, The University of British Columbia
 
CALL FOR PROPOSALS
 
LANSI brings together scholars and students working on naturally-occurring data within the broad area of language and social interaction. In keeping with the LANSI spirit of diversity and dialog, we welcome abstracts from colleagues working on a variety of topics using discourse analytic approaches that include but are not limited to conversation analysis, interactional sociolinguistics, linguistic anthropology, and critical discourse analysis. Abstracts should be no longer than 250 words and should include descriptions of the following aspects of the study: (1) research question; (2) data and method; (3) key finding with a short illustrative data segment. Alternatively, you may now submit a link (e.g., Google or Dropbox) to a single, 2-3 min, audio-narrated PPT slide that displays one data extract and addresses (1)-(3) above. Please also include a 50-word summary regardless of your mode of submission.

Abstracts will be blind-reviewed on the basis of clarity, specificity, originality, and the inclusion of the required components. Papers will be presented within a 10-minute slot with an additional 10 minutes for discussion.
 
Deadline for electronic submission is June 15, 2023. Notification of acceptance or otherwise will be sent via email by early July, 2023. For additional information and to submit an abstract, please visit: www.tc.edu/lansi.
 
Conference Co-chairs
 
Hansun Zhang Waring
Allie King
Lauren Carpenter
Kelly Frantz
lansi@tc.edu</property:AnnText>
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