Dr. Frédérique Bone is a research fellow at SPRU (Science Policy Research Unit) at the University of Sussex. Frédérique holds a PhD in entrepreneurship and innovation economics from the BETA unit at the University of Strasbourg. Frédérique has a longstanding experience in using quantitative and qualitative methods independently or as a mix to study science and technological evolution in the biotech sector, and more recently Artificial Intelligence (AI) technologies and mass production.
For the Deep Transition project, she is working on new methods to trace technological change and rules. Together with Dr Rotolo, Frédérique is using the latest web scraping, data science, and natural language processing techniques to trace rules of mass production in bespoke text corpora of two newspapers from 1850s to the present (i.e. Scientific American, and the New York Times). The development of this new methodology aims to enable the quantitative study of both the technical and social aspects of technologies over long time periods.