Webinars

You can watch our previous coding demonstrations on our Youtube channel (see links below).

1. Being a Computational Social Scientist

Tthis 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.

• Watch recording
• Download slides

2. Introduction to Python for social scientists

Computational methods for collecting, cleaning and analysing data are an increasingly important component of a social scientist’s toolkit. Central to engaging in these methods is the ability to write readable and effective code using a programming language.

• Watch recording

3. Setting up your computational environment

Learn how to create, manage and share a Python computational environment.

• Watch recording