How to become a computational social scientist
Date:
14/09/2026
Organised by:
UK Data Service
Presenter:
Louise Capener
Level:
Entry (no or almost no prior knowledge)
Contact:
Bethan Jones
bethan.jones-4@manchester.ac.uk
Venue: Online
Scientific research and teaching are increasingly influenced by computational tools, methods and paradigms. The social sciences are no different, with many new forms of social data only available or practical through computational means (Kitchen, 2014).
While social science research has always been marked by technological approaches to some degree, the field of computational social science (CSS) involves the use of tools, data and methods that require a different skill set and mindset.
This free workshop is an introduction to computational social science. It offers attendees a chance to understand and discuss what CSS is, what it is good for, how to become a computational social scientist, and the basic steps to follow in an ideal computational social science research project.
Kitchen, R. (2014). Big Data, new epistemologies and paradigm shifts. Big Data & Society, https://doi.org/10.1177/2053951714528481.
Cost:
Free
Website and registration:
Region:
International
Keywords:
Quantitative Data Handling and Data Analysis
Related publications and presentations from our eprints archive:
Quantitative Data Handling and Data Analysis