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Please book tickets here. As more of us encounter the dilemma of suspected ‘imposter participants’, this session creates space to come together, share experiences, and draw on the collective wisdom of the group. While the presenters are based in the Faculty of Medicine and Health, we see cross-Faculty dialogue as essential - this is a shared...
Please book tickets here. Overview An interactive in-person workshop at the University of Leeds. This workshop will introduce the problems caused by missing data and explain why thoughtful handling and careful reporting is crucial. It is designed for researchers and students who want a clear, practical introduction to missing data methods. By the end of...
Co-badged with the White Rose DTP, please sign up here. Abstract: In this one-hour seminar, Huiming Ding and Eun Hye Kim (University of Leeds) will introduce the fundamentals of latent variable estimation - an essential tool for measuring unobserved constructs in social science research. Using examples from their work in education, medicine, and legal studies,...
Please sign up here. Abstract: In this workshop you will learn how to create publication-ready graphs using ggplot2 in R and refining them in PowerPoint. The emphasis will be placed on how to design clear, professional visuals by combining the strengths of data-driven graphics and flexible formatting tools. These skills are essential for quantitative researchers...
Co-badged with the Leeds Institute of Data Analytics and the White Rose DTP, tickets can be booked here. Materials: Leeds 2025 Abstract: Join us for a two-hour workshop (lecture + practical) with Dr Rachel Hughes as she introduces the Quantitative Bias Analysis (QBA) framework, and shows how to apply it for problems of unobserved confounders...
Co-badged with Language@Leeds, tickets coming soon. Please book tickets here. Abstract: Thematic analysis is widely used in social science research for examining participants’ perceptions through interviews, focus groups and learning diaries. It can also reveal participants’ behaviours through observations and conversation histories with both human and non-human learning partners. However, novice qualitative researchers often find...
Co-badged with the White Rose DTP, sign up here. Abstract: Join us for a one-hour seminar with Charles Lanfear as he introduces the potential outcomes framework, a foundational approach to causal inference in the social sciences and beyond. This seminar will provide a clear, accessible overview of key concepts, including counterfactual reasoning, treatment effects, and...
Book tickets here. Introducing the LIDA: Science of Data Science Programme. Join us for lectures and interactive discussion followed by drinks and networking in NEXUS. Quantitative social science stands at a critical crossroads. The twin revolutions of big data and AI are transforming our research landscape, bringing a dizzying mix of new opportunities and tricky...
Please book tickets here. ABSTRACT Estimating causal effects in observational data is a key aim of applied social research. Unfortunately, it is also notoriously difficult. The analysis of observational data is fraught with biases that can obscure the true causal relationship between two variables. To resolve this, quantitative social scientists have traditionally been encouraged to...