This workshop aims to empower students with the knowledge and skills to explore diverse career and research opportunities beyond traditional academic settings.

This workshop will explain why complex samples are used, the implications of complex samples for statistical data analysis, and approaches to analysing complex samples data. Whilst this workshop is primarily focussed on the analysis of social survey data resources, the principles can be more widely applied to other forms of made and found data.

This session is intended to be an introductory guide for students who have never engaged in qualitative research before, or have a small amount of qualitative experience that they would like to build on. No prior learning is required.

This guided lab session explores the analytical tools within NVivo for organising, navigating, and further developing your qualitative analysis.

This workshop will work through points for consideration when generating data visualisations. Examples will be presented using a combination or R and Stata output and code.

This workshop will explain why complex samples are used, the implications of complex samples for statistical data analysis, and approaches to analysing complex samples data.

This workshop guides participants through the current UK data context, the risks and benefits data representation has for LGBTI+ people and show how reflexivity, transparency and consent can be centred in our survey design processes.

This session is intended for anyone who might be considering the use of focus groups as part of their research project. It will introduce and consider the use of focus group and reading group as a distinctive method of qualitative research.

This session will introduce students to the ideas behind research integrity. The session will be divided into two parts a) what is good research? and b) what is bad research.

In this session, you will learn what AI technologies are, how they work, and how they are developed. We will then cover current research strands in responsible AI to make AI system fair, accountable, and transparent.

This workshop aims to highlight how doctoral scholars can harness the power of the Hidden Curriculum as they plan their personal journeys of growth & development not only for a successful, meaningful & timely PhD completion, but also in preparing for a post-PhD career.

This workshop will aim to provide foundations in network theories and methods applied to studying relationships between variables or constructs.

This workshop aims to encourage deeper introspection into the doctoral experience among those whose country of origin differs from where they have chosen to pursue a PhD.