Previous ESRC-FCDO funded research in Ethiopia and Nepal showed that concepts such as uncertainty, insecurity, resilience, and marginalisation are not easily translatable across cultural contexts (Johnson et al., 2022). Research was conducted with 500 youth living in fragile and conflict affected environments leading to the publication of datasets on youth and uncertainty. This studentship will use these datasets to develop a new interdisciplinary methodology for the culturally sensitive application of natural language processing, drawing on approaches from human geography, data science, and cultural studies.
The lexicons applied in natural language processing are informed by the cultural contexts of their development – predominantly English language, privileged, white, male, Global North cultures – that can carry forth unconscious biases in their applications. If natural language processing techniques can be consistently applied to datasets from diverse cultural contexts, they could substantially enhance research capacity in the Global South. This studentship will contribute new understanding on how sentiment analysis and other natural language processing techniques can be meaningfully applied to datasets constructed in fragile social contexts in the Global South.
This studentship provides a unique opportunity to work with national researchers in Ethiopia and Nepal to contribute new, culturally relevant principles and processes for the application of natural language processing. The student will be supported to develop an interdisciplinary methodology that engages with advanced data science methods and participatory and decolonising approaches, backed by a supervisory team with specific expertise in participatory and collaborative methods, natural language processing, and decolonising research. Training across disciplines will be integrated throughout the studentship to foster transformative applications of these approaches and ensure ethical and culturally sensitive collaborations with national researchers. Timely completion is supported by well-established and trusted partnerships in Ethiopia and Nepal, revisiting existing partnerships and risk assessments, and a readymade published ESRC dataset linked to youth profiles.
Supervisory Team:
- First Supervisor: Professor Vicky Johnson, Vicky.Johnson.ic@uhi.ac.uk
- Second Supervisor: Dr Andrew Duncan, Andrew.Duncan.ic@uhi.ac.uk