29.3928, Confs: General Linguistics/USA

[The LINGUIST List]

LINGUIST List: Vol-29-3928. Wed Oct 10 2018. ISSN: 1069 - 4875.

Subject: 29.3928, Confs: General Linguistics/USA

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Date: Wed, 10 Oct 2018 13:45:11
From: Bradley McDonnell [mcdonn at hawaii.edu]
Subject: Satellite Workshop at LSA 2019 Annual Meeting: Tools for Reproducible Research in Linguistics

 
Satellite Workshop at LSA 2019 Annual Meeting: Tools for Reproducible Research in Linguistics 

Date: 03-Jan-2019 - 03-Jan-2019 
Location: New York, NY, USA 
Contact: Bradley McDonnell 
Contact Email: mcdonn at hawaii.edu 
Meeting URL: https://www.linguisticsociety.org/content/2019-annual-meeting-satellite-workshop-tools-reproducible-research-linguistics 

Linguistic Field(s): General Linguistics 

Meeting Description: 

(Session of Linguistic Society of America 93rd Annual Meeting)

Reproducible research—the idea that data and code for analysis should be
published alongside the research results for others to validate or even build
upon the research—has gained real traction in the social sciences in recent
years, and with the development of open-source digital tools, conducting
reproducible research is more accessible than ever. This satellite workshop
provides a conceptual foundation for reproducible research in linguistics
alongside practical hands-on training in implementing best practices in
reproducible research through the use of several open-source digital tools,
including git and GitHub, RStudio, and Jupyter Notebooks.

Focus:

This satellite workshop provides a conceptual foundation for reproducible
research in linguistics alongside practical hands-on training in implementing
best practices in reproducible research through the use of several open-source
digital tools, including git and GitHub, RStudio, and Jupyter Notebooks.

Qualifications:

The workshop is primarily aimed at early- and mid-career researchers, but will
be accessible to both graduate students and senior researchers. Basic
knowledge of either R or Python will be very beneficial but is not required.
Participants will not be asked to write their own code; exercises will contain
the necessary Python and R code.

Registration:

Please fill out the online registration form. One of the organizers will get
back to you with the details of the workshop.

Application URL:

https://docs.google.com/forms/d/e/1FAIpQLSeU_SJheWNZEWzc9kaP9WmwEXTX5JNcJGhSUI
D5FfGCR-zMoQ/viewform

Thanks to the generous support of the National Science Foundation (grant
SMA-1745249), this workshop will be offered free of charge for participants.
 






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