How to become a computational social scientist
Date:
19/05/2022
Organised by:
UK Data Service
Presenter:
Louise Capener and Nadia Kennar
Level:
Entry (no or almost no prior knowledge)
Contact:
Sorcha O'Callaghan
sorcha.ocallaghan@manchester.ac.uk
Venue: Online
Description:
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 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 computational social science 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.
Cost:
Free
Website and registration:
Region:
North West
Keywords:
Qualitative Data Handling and Data Analysis, Quantitative Data Handling and Data Analysis, ICT and Software
Related publications and presentations from our eprints archive:
Qualitative Data Handling and Data Analysis
Quantitative Data Handling and Data Analysis
ICT and Software