Summer School

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

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 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.

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.

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.

This workshop is aimed at people who are considering and/or actively designing a project that compares case studies. It is cross-disciplinary across the social sciences.

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.

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.

A good way to share your research (or teach it!) is to make an interactive game based around them. This session uses 'Twine', a free tool for telling interactive, non-linear stories and publishing them on the web, to both demonstrate how to make such a story, as well as teaching participants the basics of the tool so that they can make their own.

After an exciting day of learning new things and meeting your fellow PhD students, why not come and win some prizes at our legendary SGSSS Summer School Quiz Night?

This session will include a range of activities to support networking within your challenge pathway. There will also be opportunities to make connections across PhD projects in terms of research questions, methods, literature, approaches to making broader impact and more!

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 course is aimed at those who have minimal experience either with qualitative research or in using the software Nvivo. It is also suitable for those who have used Nvivo before but would like a refresher.

Drawing on similar events run in the past and published work, I will consider strategies to safeguard yourself as a key component of researching ethically. We will consider and discuss what a sustainable workload looks like? and just as important, how can we achieve this in institutions that seem to be determined to push us to burnout.

This session will explore the ethical and methodological considerations for research with young people, especially those who might be considered ‘vulnerable’. Workshop attendees will have the opportunity to reflect on how these topics might apply to their own research.

In this short course, we will introduce the main concepts and theoretical issues around multilevel modelling. We will gain experience fitting this type of models with real-world multilevel data from the UK Data Service, using R and RStudio, but we will also discuss alternative software packages.

Many theoretical concepts in the social sciences cannot be easily observed directly. This workshop will introduce latent class analysis, and you will learn how to undertake and interpret analyses using this method.

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

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.

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

The call for decolonisation within the academy has been intensifying in recent years. What does this mean for our research methodologies? This workshop opens a dialogue on what decolonising research may mean.

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 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.

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 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.

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 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.