Summer School

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.

This session provides an introduction to qualitative research and is geared towards individuals who have no or very little prior experience in the area.

This online session identifies the role of publishing in your PhD and post-PhD journey, explores outlets, co-authoring options, and highlights the importance of a writing habit.

By using a hands-on approach, this course will show how theories can be tested through different research designs with different types of data, will investigate the implications and suitability of research designs, and will reveal how these designs can be best presented to broader audiences.

This session will reflect on the use of focus groups in social research.

These sessions will provide participants with the knowledge and a range of practical tools required for conducting a systematic review.

This session shall draw onto the real-world experience of having participated in several such multi-disciplinary and multi-institution research projects to offer insight and understanding into the realities of working in such a space, and hopes to ask what this might mean for YOUR careers as young researchers.

This session will introduce the photovoice methodology and present a worked example from a study around cooking on solid fuel (e.g. charcoal/ wood) and household air pollution in informal settlements ('slums') in Kenya and Malawi.

We will have a hands-on task to critically evaluate how 'responsible' current AI technologies are, possible ways forward in creating responsible AI systems, and the role of AI in your own research programme.

This session provides an overview of patient and public involvement in research, from the beginnings of bid development to reporting and dissemination.

The course considers key social debates that flow from demographic change such as overpopulation, fertility decline, rural population sustainability and population ageing. You will learn about the demographic data and methods and theory that underpin such debates with hands-on opportunities to undertake analysis using real demographic data.

This workshop looks at the aftermath of a mass atrocity, a temporal moment when the killings are over and questions of justice and remembrance come to the fore. Through comparative studies of historical and contemporary mass atrocities, the workshop will create opportunities to interrogate notions of transitional justice and impunity.

This workshop focuses on the production of data via surveys, helping participants design survey questions in an inclusive, transparent and reflexive manner.

This one-day course will outline the fundamental concepts and approaches for estimating trajectories of change for social science phenomena, and includes practical examples and exercises using R and Stata.

This training session, using a variety of data sources including interviews with Donald Trump, a US defender of the political right, and a speech from Jeremy Hunt, explores different ways of coding qualitative data.

This workshop will consider how museums, galleries, and universities curate and exhibit their colonial acquisitions and ethnological collections. We will also discuss alternative archives that use 3D imaging, storyworlding, and architectural technologies to rethink conventional archives and bring to the surface marginalised and concealed histories.

The workshop will teach the art of spotting a natural experiment and undertaking robust analysis to provide evidence for causal associations between social variables. You'll be introduced to the statistical models that are used to analyse natural experiments and have hands on opportunity to fit a difference in difference model and an interrupted time series model.

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.

There is an unprecedented amount of information on the internet that could usefully be harvested in order to build social science research datasets. This half-day course will showcase suitable techniques for web scraping.