Predictive Analytics, Identities and Cultures of Prevention


Along with colleagues in Sociology and Social Policy at Leeds, Professor Murray is part of a project examining how the use of Artificial Intelligence and analytics are reshaping what counts as disease and who, what and how people are responsible for its prediction and prevention. Recent developments in predictive analytics using Artificial Intelligence are set to transform the prediction and prevention of numerous diseases, changing our ideas of what constitute disease categories and patient/professional accountabilities in the process. The project aims to explore and critically engage with these developments, looking at how forms of popular culture, innovation and healthcare practices associated with predictive analytics are shaped by and are reshaping the cultures, identities and responsibilities of innovators, patients, publics and practitioners. 

The project focuses on four contrasting conditions where predictive analytic research and diagnostics are rapidly developing - Cancer, Type 2 Diabetes, Autism and Alzheimer’s disease. Drawing from and developing the approaches of Science and Technology, Gender and Disability, and Cultural Studies, and working with a variety of partners in Leeds and beyond, we aim to engage creatively with the practices under study and contribute fresh empirical evidence, innovative theorisation and interventions in academic, policy and practitioner efforts to understand and enhance the use of predictive analytics for health and wellbeing.

Additional reading

Reading Disability in a Time of Posthuman Work: Speed and Embodiment in Joshua Ferris' The Unnamed and Michael Faber's Under the Skin

Disability and Memory in Posthuman(ist) Narrative: Reading Prosthesis and Amnesia in Hollywood’s Re-membering of the ‘War on Terror’