United Kingdom

Beatrice Gobbo is Assistant Professor in the Centre for Interdisciplinary Methodologies at the University of Warwick. She received her Ph.D. in Design from the Design Department of Politecnico di Milano where she was a member of the DensityDesign Lab. Her work and academic interests are positioned at the intersection between information design and computer science. Indeed, with her PhD thesis “Embalming and Dissecting AI. Visual Explanations for the General Public” she describes a mixed methodology for approaching the Explainable Artificial Intelligence issue from a communication design perspective.

James Tripp is a Senior Research Software Engineer at the University of Warwick and Senior Technologist on the Shaping AI project. He has a PhD in Cognitive Science and supports both research and teaching at the Centre for Interdisciplinary Methodologies (CIM) through writing research software, managing and deploying Linux server infrastructure and both the design and delivery of technical workshops covering diverse computational methods.

Chiara Poletti is a Post-Doctoral Research Assistant at the Centre for Interdisciplinary Methodologies (CIM), University of Warwick and on the Shaping AI project. She received her PhD in Sociology from the University of Cardiff. Her doctoral research project applied methods of controversy mapping to study the governance of speech online and her current research explores the ways in which sociology and social research can inform the study of AI.

Noortje Marres is Professor in Science, Technology and Society (STS) in the Centre for Interdisciplinary Methodologies, University of Warwick and Principal Investigator on the Shaping AI project. She has been a key contributor to the development of controversy analysis as an interdisciplinary method, including through her ESRC-funded research on Issue Mapping as Participatory Method. Noortje has published two monographs, Material Participation (Palgrave, 2012) and Digital Sociology (Polity, 2017) and besides her work on Shaping AI, she is currently conducting research on real-world testing of intelligent vehicles as part of her Leverhulme Fellowship “Beyond the Lab” (2022-2023).

Michael Castelle is Assistant Professor in the Centre for Interdisciplinary Methodologies at the University of Warwick, and a Co-Investigator on the Shaping AI project. His research is at the intersection of the economic sociology of markets and platforms, the history of late 20th-century computing, and Science and Technology Studies. Michael has a multidisciplinary academic background in sociology, computer science, and computational neuroscience/neurology. He received his PhD from the Department of Sociology at the University of Chicago, for his doctoral thesis “Transaction and Message: From Database to Marketplace, 1970-2000.” At the University of Warwick, Michael is convenor of the MSc Big Data and Digital Futures, and he has recently published a number of articles and book chapters on the Sociology of Deep Learning.