This site uses cookies

Some of these cookies are essential, while others help us to improve your experience by providing insights into how the site is being used.

For more detailed information please check our Cookie notice

Necessary cookies

Necessary cookies enable core functionality. This website cannot function properly without these cookies.

Cookies that measure website use

If you provide permission, we will use Google Analytics to measure how you use the website so we can improve it based on our understanding of user needs. Google Analytics sets cookies that store anonymised information about how you got to the site, the pages you visit, how long you spend on each page and what you click on while you’re visiting the site.

Webinar: Being a Computational Social Scientist

12 May 2020 12:00 pm - 1:00 pm
Data skills
Scientific research and teaching is increasingly influenced by computational tools, methods and paradigms. The social sciences are no different, with many new forms of social data only available through computational means (Kitchen, 2014). While to some degree social science research has always been marked by technological approaches, the field of computational social science involves the use of tools, data and methods that require a different skill set and mindset.
This free webinar, organised by the UK Data Service, is part of an ongoing series focusing on new forms of data for social science research. Specifically, this webinar demystifies computational social science, and explores how and why social scientists should embrace computational methods. Presented by Dr Julia Kasmire and Dr Diarmuid McDonnell of the UK Data Service, this webinar examines five key domains of computational social science: 
  1. Thinking computationally
  2. Writing code
  3. Computational environments
  4. Manipulating structured and unstructured data
  5. Reproducibility of the scientific workflow
We cover key theories and ideas behind each domain and provide example code, written in the popular Python programming language, that demonstrates some of the key skills computational social scientists need to develop. 
Kitchen, R. (2014). Big Data, new epistemologies and paradigm shifts. Big Data & Society,