[HYBRID EVENT] Data visualisation for communicating findings

A School of Education Event hosted by the Centre for Research in Educational Leadership and Management (CRELM)

Please note, this is a hybrid event and will take place both in-person and online via Microsoft Teams.

In person - A35 Dearing Building, Jubilee Campus.

Online - Teams link will be sent on registration

Data visualisation is a critical skill for generating research impact. Whether you work with qualitative data or quantitative data, or a mix of the two, effectively visualising your findings can help attract larger and new audiences to your work. This seminar will be organised around a common framework for interactive visual design and will draw on real data from the Researching Sustainable School Leadership (ReSSLe) project, a three-year mixed methods study led by Toby Greany. I will demonstrate how to push beyond standard data visualisation techniques (i.e. charts, graphs, and tables) to generate more creative displays for communicating findings from mixed methods social science research. Specifically, this seminar will make use of the D3 JavaScript library and is intended for researchers with all kinds of data interested in expanding their knowledge of data visualisation.

Thomas Cowhitt Bio

Dr. Cowhitt is a Lecturer in Educational Change and Collaborative Improvement with the School of Education at the University of Glasgow. He specialises in Social Network Analysis and the study of Educational Systems, working to improve the quality and equity of education provision. He is also a former Fellow with the Digital Humanities Lab at the University of Cambridge and has a strong interest in pushing the boundaries of interactive data visualisation to ensure impact from research. He is the founder of the new Data Visualisation Special Interest Group (DataV) at the University of Glasgow. For his most recent publication in data visualisation, please see:

Cowhitt, T., Greany, T., & Downey, C. (2023). Storytelling with networks: Realizing the explanatory potential of network diagrams through the integration of qualitative data. International Journal of Qualitative Methods, 22, 16094069231189369.

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