Bridging the gap: innovative methods for text analysis in political science and IR
This training event has been organised by PhD students within the Security, Conflict & Justice (SCJ) Pathway and the Cities, Environment and Liveability (CEL) Pathway, in collaboration with the Department of Politics and International Relations of the University of Sheffield. It is open to all ESRC and non-ESRC funded students within the seven WRDTP partner institutions from any Pathway.
The event aims to bring a number of eminent academics working in quantitative text analysis together to share and discuss its potential applications in political science, with a particular focus on topic modelling.
Key themes of the event
- Key literature, theories and concepts where quantitative text analysis and topic modelling has significant potential and relevance
Challenges in applying quantitative text analysis and topic models e.g. methodological challenges, challenges from reviewers
The relationship between quantitative text analysis and prominent epistemological positions adopted in political science e.g. interpretivism, post-positivism
Motivating examples demonstrating the benefits of quantitative text analysis and topic modelling
Guidance for early career researchers, or academics new to quantitative text analysis, on where to start
A series of short presentations providing case studies of quantitative text analysis and topic modelling – 1.30pm-2.30pm BST
An introductory training session on implementing a structural topic model (STM) – 2.30pm-3.30pm BST
A roundtable discussion on the opportunities and challenges for quantitative text analysis in political science – 4pm-5pm BST
We are both PhD students, coming from a political science background, with a shared interest in quantitative text analysis. We are hosting this event because we are enthusiastic about the increased prominence of this form of analysis within political science, but also feel that there is unrealised potential due in part to a lack of exposure for most PhD students and academics.
We are both aiming to apply STM within our theses. Frank will use STM to explore ideational patterns of Chinese influence in Central Asia, whilst Michael will use it to explore the financialisation of UK social housing.
List of participants
PLEASE NOTE: Our online training sessions will be recorded and will be available on the VIRE in an edited format for those students who cannot attend. If you wish to join this session but do not wish for your contributions to be included in the edited VIRE resource, please ensure that you select NO when prompted in the online booking form regarding recording.