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

Map:

View in Google Maps  (M13 9PL)

Venue:

The Cathie Marsh Institute
School of Social Sciences
Humanities Bridgeford St Building
University of Manchester
Manchester

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:

Qualitative Data Handling and Data Analysis
Quantitative Data Handling and Data Analysis
ICT and Software

Back to archive...