NARNiHS logo      Inaugural Conference
     of the North American Research Network in Historical Sociolinguistics
     21-22-23 July 2017 — co-located with the 2017 LSA Linguistic Institute (University of Kentucky)

Call for Proposals

Event Date/Time: Friday, 21 July 2017, 7:00 pm — Sunday, 23 July 2017, 7:00 pm
Co-Located with the 2017 LSA Linguistic Institute — Lexington, Kentucky, USA.

Description: This event is the inaugural public meeting of the North American Research Network in Historical Sociolinguistics (NARNiHS). We invite abstracts for:

Abstracts can be a maximum of one page in length (plus a second page as needed for diagrams, charts, data tables, and references), and should be sent to: narnihistsoc@gmail.com. The abstract itself should be anonymous, with contact information included in the email.

Deadline for abstracts: May 1, 2017.

We are pleased to note that the posters and software demos will be presented digitally (on landscape-oriented LCD monitors) and will thus allow for interactive display of datasets, visualizations, software tools, etc.

Workshop proposals should emphasize hands-on work with specific digital tools/methods for historical sociolinguistics research and be designed to fit into a 2.5-hour time slot.

Keynote: Stephen Elspaß, Universität Salzburg.

The overall design of this event is intended to maximize exposure to high-level current work in the field of historical sociolinguistics, provide hands-on experience in selected tools and methods in the field, build the professional network, and situate the field within the broader landscape of general linguistics. The event is free and open to all interested parties.

Contact Information: narnihistsoc [at] gmail [dot] com.

Conference Organizers:
Mark Richard Lauersdorf, University of Kentucky; Joe Salmons, University of Wisconsin-Madison; Fernando Tejedo-Herrero, University of Wisconsin-Madison; Donald Tuten, Emory University.

Tags: Computational/Corpus, Contact, Dialectology, Hands-On, Historical/Change, Methods, Sociolinguistics, Statistical, Variation.