34.3117, Support: Anthropological Linguistics; Applied Linguistics; Computational Linguistics; Discourse Analysis; Sociolinguistics: PhD, The Open-Oxford-Cambridge Doctoral Training Programme, The Open University

[The LINGUIST List]

LINGUIST List: Vol-34-3117. Thu Oct 19 2023. ISSN: 1069 - 4875.

Subject: 34.3117, Support: Anthropological Linguistics; Applied Linguistics; Computational Linguistics; Discourse Analysis; Sociolinguistics: PhD, The Open-Oxford-Cambridge Doctoral Training Programme, The Open University

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Date: 17-Oct-2023
From: Jaspal  Singh [jaspal.singh at open.ac.uk]
Subject: Anthropological Linguistics; Applied Linguistics; Computational Linguistics; Discourse Analysis; Sociolinguistics: PhD, The Open-Oxford-Cambridge Doctoral Training Programme, The Open University


Institution/Organization: The Open-Oxford-Cambridge Doctoral Training
Programme
Department: Gardens, Libraries, and Museums (GLAM) Division

Level: PhD

Duties: Research

Specialty Areas: Anthropological Linguistics; Applied Linguistics;
Computational Linguistics; Discourse Analysis; Sociolinguistics

Description:

Meaningful measurement: Qualitative data methods & analysis for
understanding real-world GLAM experiences

Applications are invited for an Open-Oxford-Cambridge AHRC DTP-funded
Collaborative Doctoral Award at The Open University (OU) in
partnership with the Gardens, Libraries, and Museums (GLAM) Division
at the University of Oxford. This fully-funded studentship is
available from October 2024 on a full or part-time basis. Further
details about the value of an Open-Oxford-Cambridge AHRC DTP award are
available on our Studentships page.
Closing date: midday (UK time) 9th January 2024.

Project overview
GLAM institutions have a wealth of data, from audience evaluation,
digital engagement and visitor figures, online reviews such as Google
or TripAdvisor, as well as collections data and business data (such as
shop sales), and some organisations are using these data to make
evidence-based decisions. Many institutions pay external agencies
(such as Morris Hargreaves McIntyre or Audience Agency) to conduct
large scale annual surveys, and also undertake smaller scale internal
evaluation. However, these data often sit in silos, either because the
data are ‘owned’ by different departments, or because staff do not
have the technical skills to connect the data. A further issue is lack
of skills in being able to analyse the data. There are some large
institutions who employ data scientists or software engineers, but
this is the exception rather than the norm. Most organisations are
able to draw some insight from their quantitative data, but the masses
of qualitative data from reviews, interviews, audience feedback, and
social media remain largely untapped by the institutions themselves.
The lack of expertise in some of these methods also means that GLAM
organisations are not undertaking some forms of data capture because
they lack the skills to analyse and interpret it, such as non-verbal
data collection (e.g. drawing or creative outputs) and observational
or ethnographic fieldwork.

Proposals for projects should consider how digital humanities
techniques can help cultural institutions (museums, galleries, and
other cultural and natural heritage sites) better understand their
qualitative data. Specifically project proposals should:

 - Diagnose the rigour and standards of qualitative research as
typically deployed as part of the variety of methods typically used to
research real-world experiences in museums;
 - Identify how digital humanities tools and techniques, including
computational linguistics and AI tools, can increase the quality and
value of language-rich data collected by museums (e.g. online review
repositories, social media or in-house user-generated information
gathered through interviews or feedback);
Identify interdisciplinary research questions that digital humanities
analysis can help GLAM institutions answer;
 - Demonstrate how these tools can be implemented by GLAM institutions
with low level of data science or digital humanities specialist
skills;
 - The project should identify and engage with relevant case studies
across the sector but make specific use of, and reference to, existing
datasets and prototyping opportunities at the Oxford University
Museums and Bodleian Libraries to test techniques and serve as a
‘living laboratory’.

Potential applicants are encouraged to contact Dr Jaspal Singh
(jaspal.singh at open.ac.uk) with questions and for any guidance before
submitting their application.

To apply for an Open-Oxford-Cambridge AHRC DTP studentship, please
complete OOC DTP Application Form, OU application form and supporting
documents listed on the application from, Research proposal and a
covering letter indicating your suitability to the project and send to
the email listed below by 9th January 2024 (midday, UK time).

More information canoe found at the link below.

Application Deadline: 09-Jan-2024

Web Address for Applications: https://www.oocdtp.ac.uk/meaningful-meas
urement-qualitative-data-methods-analysis-understanding-real-world-gla
m-experiences
Email Address for Applications: WELS-Student-Enquiries at open.ac.uk

Contact Information:
Dr. Jaspal Naveel Singh
jaspal.singh at open.ac.uk



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