There is an unprecedented amount of information on the internet that could usefully be harvested in order to build social science research datasets.
This two-day course will showcase suitable techniques for collecting raw data from web pages, as well as from online databases.

In this workshop we will look at how to make the best use of NVivo in your qualitative data analysis.

What does it mean to decolonise within the academy? How can this relate to creating research for social change? This workshop explores these two critical questions.

This workshop is designed to talk through some of the practical challenges of teaching these types of courses for the first time. The workshop will be a mix of open discussion led by the convenor of the session along with group discussions, to help understand what concerns others might have and share experiences that might help.

This workshop will introduce students to diary methods through two key approaches. First, students will read and analyse a series of diary excerpts collected during the pandemic. Secondly, students will then analyse their own diary entries.

This session is an opportunity to sense the way ahead using U-theory's approach to innovation development that places wellness at the centre, with Steve Earl of University of Edinburgh's Future Institute and Beth Cross, lead for the professional doctorate at UWS.

We will provide a beginner’s introduction to quantitative data visualisation using the statistical programming language R. We expect no prior knowledge of using R, this is meant for complete beginners, but more experienced users are welcome.

In this workshop we will look at how to make the best use of NVivo in your qualitative data analysis.

This event is based on the idea that learning is a process between personal biographies of students, the skills abilities of methods teachers and also the wider structural processes that frame learning.

This session will consist of three parts: ethical challenges and moral dilemmas, practical aspects, and your own plans.

In this session we will introduce the methods of Regression Discontinuity Design (RDD), and provide the opportunity to apply them in a practical lab using Stata.