28.1842, Calls: Text/Corpus Linguistics / IEEE Transactions on Professional Communication (Jrnl)

[The LINGUIST List]

LINGUIST List: Vol-28-1842. Mon Apr 17 2017. ISSN: 1069 - 4875.

Subject: 28.1842, Calls: Text/Corpus Linguistics / IEEE Transactions on Professional Communication (Jrnl)

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Date: Mon, 17 Apr 2017 15:16:25
From: Ryan Boettger [ryan.boettger at unt.edu]
Subject: Text/Corpus Linguistics / IEEE Transactions on Professional Communication (Jrnl)

 
Full Title: IEEE Transactions on Professional Communication 


Linguistic Field(s): Text/Corpus Linguistics 

Call Deadline: 01-Jun-2017 

Please consider submitting to the special issue on data-driven approaches to
research and teaching in technical and professional communication (IEEE
Transactions on Professional Communication). 

See the full CFP here: https://goo.gl/UN3eyv.

This issue will extend the research published in a 2006 special issue--edited
by Tom Orr--on how corpus linguistics could be integrated into technical
communication. Our issue will also pay tribute to Tom, who passed earlier this
year. 

The abstract submission deadline is June 1, author notification will be July
1, and submission of completed drafts will be due December 15, 2017. Email me
at ryan.boettger at unt.edu if you have any questions.

We are interested in submissions related to the following questions:

- How has the increasing availability of large-scale data coupled with
accessible analysis and visualization tools changed the research, teaching,
and practice of professional, technical, and engineering communication? How
has our understanding of professional communication reflected the evolving
disciplinary landscape of data analysis and facilitated collaborative
opportunities?
- How has technology influenced our understanding of professional
communication? What results have been yielded from sentiment analyses and
natural language processing as well as by analyzing social media platforms,
project management software, and crowdfunding sites?
- What techniques are professional communicators using to interpret large data
sets and produce rhetorically persuasive narratives from data? How are
professionals using data-driven approaches and results to solve workplace
problems?
- What data-driven approaches are being used to teach engineers and other STEM
specialists the language nuances of communicating in their discipline? What
are the challenges of teaching and using data-driven methods for audiences who
are not formally trained language specialists?
- How do the social variables of professional communicators—gender, age,
discipline, native-speaker status—influence how they communicate to various
audiences?
- What pedagogical approaches are available for training graduate students to
use data-driven approaches to their research?
- How are data-driven approaches used in technical and professional
communication classrooms?

Types of Projects:

The types of research projects accepted for this special issue include but are
not limited to

- Research articles
- Integrative literature reviews
- Case studies
- Tutorials
- Teaching cases




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LINGUIST List: Vol-28-1842	
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