This project will provide transparency tools for AI-based systems to explain how they manage users’ data and co-create interfaces that allow users to influence it. The […]

Exploring users experiences and concepts of privacy and online harms with respect to VR avatars. The ways in which social behaviour and self-presentation is experienced online […]

Understanding the role of contexts in managing privacy online through AI-agents. In online social systems, users are allowed to create and share content about themselves and […]

A decade of unprecedented growth in the field of personal data collection and analysis, as well as the increased ‘datification’ of ordinary life, has lead to […]

A multimodal machine learning based study of medical misinformation on social networks. Medical misinformation, popular science and alternative medicine thrives online in social networks where communities […]

A dedicated speculative space for citizens and publics to liaise with researchers, technologists and policy makers, to explore new technologies and data services, informing policy/practice guidelines […]

This project will investigate the use of formal methods in providing high-assurance, high-performance privacy-preserving data analytics solutions, and in ensuring their secure use. In particular, we […]

This project will analyse the current (and future potential) abuse of commercially available PETs for criminal purposes, using specific online harms as primary case examples, and […]

This project aims to investigate consumer perspectives on the use and sharing of PETs-related data by various types of ‘legitimate’ organisations. In particular, it will explore […]