[Commlist] Fully funded PhD Open-Oxford-Cambridge studentship - Meaningful measurement of public engagements with GLAM institutions

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. A full project description can be found
here: https://www.oocdtp.ac.uk/meaningful-measurement-qualitative-data-methods-analysis-understanding-real-world-glam-experiences
[1]

Closing date: midday (UK time) 9th January 2024.

Proposals for projects should consider how digital humanities techniques can
help cultural institutions (museums, libraries, 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’.

The successful applicant could explore some (not all) of the following
methods to assist GLAM institutions understand their data better.

Social post keyword tagging (digital content analysis);
	Ways to accelerate the process of turning verbal or written material into
machine-readable, searchable and retrievable data. These might include
handwriting analysis, Optical Character Recognition (OCR) or speech-to-text;
	Natural Language Processing techniques (e.g. topic modelling) to understand
large volumes of textual data extracted from review platforms or transcribed
interviews.
	Qualitative analysis of textual and linguistic meaning;
	Machine Learning and distant reading techniques typically employed in
literary scholarship to identify recurring patterns or developments over
time.
Training and mentoring in digital humanities methods, qualitative data
measurement, digital humanities, ethnographic fieldwork, linguistic meaning
analysis, and public engagement will be provided to support this work. In
this way, the applicant will be equipped with additional skills and
experience from the academic and heritage sector that will considerably
enhance their employability prospects upon graduation.

Potential applicants are encouraged to contact the academic lead supervisor
Dr Jaspal Singh ((jaspal.singh /at/ open.ac.uk) [2]) with questions and for any
guidance before submitting their application.

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