Date: Tuesday 19th April 2022, 09:30-17:00
Venue: King’s College London, room tbc
Format: in person
This event is a collaboration between the London Interdisciplinary Social Science Doctoral Training Partnership (LISS DTP), the Department of War Studies at King’s College London and the SoBigData project (plusplus.sobigdata.eu). Organised as an introductory, interactive seminar, it is designed to allow PhD students and junior researchers to explore and critically engage with innovative approaches to digital methods. Early-stage PhD students looking for ways to expand on their methods training or find new ways to collect and analyse their own data are particularly welcome.
The event is dedicated to the technique of visual network analysis. By means of conceptual discussion and practical exercises, the workshop will explore similarities and differences between tables and networks as intellectual technologies to store and analyse information about social phenomena. Theoretical discussions about overcoming the conventional micro/macro and quali/quantitative divides will be combined with a hands-on approach and a practical training with innovative tools for network analysis (medialab.github.io/table2net; gephi.org; ouestware.gitlab.io/retina)
Researcher at the CNRS Centre for Internet and Society, associate professor at the Medi@lab of the University of Geneva, and founder of the Public Data Lab.
Research assistant at the Center for Internet and Society in the SoBigData++ project, and PhD candidate in design at Goldsmiths College, under the supervision of Tommaso Venturini, Alex Wilkie and Michael Guggenheim.
Morning Session, 9:30-12:30
- Digital methods and quali-quantitative approaches
- Tables and networks and the flattening of the description of the social world
- Turning your networks into table with Table2Net
Afternoon Session, 13:30-17:00
- Introduction to visual network analysis
- Visualising and analysing your networks with Gephi
- Publishing your networks with Retin
Contact: For further details, and to find out how to attend, please contact the organisers: Liam McVay (email@example.com) or Josh Walmsley (firstname.lastname@example.org).