This workshop will introduce examples of ethnodrama, composite participants and ethical fictionalisation to discuss broader issues of representation of diverse participants’ stories when working with qualitative data.

In this workshop we will discuss what we mean by 'industry partners' and which partners may be relevant for participants' different research areas. We will discuss the value of engaging with industry partners, approaches to building partnerships and what success looks like with good partnership.

This training course provides doctoral students with the necessary methodological tools for policy evaluation. While policy-makers are interested in the causal effects of policy interventions, a perennial problem that makes such assessments difficult is endogeneity, for instance due to reverse causality.

This is an informative, fun and interactive session that introduces you to creative methods and offers guidance on why, when and how you might use them in your research. It starts with an introduction to creative methods and how they relate to epistemological and ontological positions.

Want to become more involved with the private and third sectors? Keen to get your research disseminated in policy and media? Interested in producing impact outwith the academy?

In this workshop we will look at how to make the best use of NVivo in your qualitative data analysis. We will consider which NVivo tools will be most useful for your PhD study and you will see how to set up an NVivo project. We will also cover how to code your data and where to find help when using NVivo. 

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. Our workshop will be structured around a recent tutorial article from our department which provides an online resource for learning data visualisation using R.

This session will explore some key methodological and ethical considerations around working with vulnerable groups.  The session will begin by unpacking and exploring the concept of vulnerability before going discuss methodological and ethical considerations drawing on examples from a range of research studies. 

Drawing on experiences from recent and current research projects this talk shall explore what a Shared Dialogue Workshop is, and why using them can be incredibly powerful in applied research projects.

Machine Learning has become a popular topic in the recent years. e.g., for designing recommendation systems used in YouTube or for building computer vision models used in self-driving cars. In this workshop you will learn some fundamental concepts of machine learning, e.g., model training and validation, hyper parameters tuning etc., and explore some of the mostly commonly used algorithms for both supervised and unsupervised learning, for example, random forest and k-means algorithm.

This session will introduce students to the ideology at the heart of feminist methodologies. Feminist methodologies take particular care to make research inclusive, to foreground the voices of experts and dismantle power imbalances between the researcher and the researched. These approaches come with a particular political understanding of the academy and the research process which we will negotiate.