Data Champions Search

Stefanie Felsberger is a PhD candidate at the Centre for Gender Studies at Cambridge University. Her research focuses on fertility tracking applications and asks how women in Egypt and Austria navigate the commodification of personal data to question conceptions of gender and labour in surveillance capitalism, data ownership and commodification. Before she worked as Bartlett Fellow at the Access to Knowledge for Development Center at the American University in Cairo. Her work looked at access and control of data, and the political economy of data, and surveillance theory. Stefanie studied Political Science and Arabic Studies at the University of Vienna.
 

Alexandra Gushurst-Moore is the Research & Impact Coordinator of the Fitzwilliam Museum and Coordinator of Cambridge Visual Culture. Her doctoral thesis, entitled “The Making of Modern Fantasy in the Visual Arts of England, ca. 1850–1920”, was supervised by Elizabeth Prettejohn at the University of York. She holds an MA(Hons) from the University of Edinburgh and an MSt from the University of Oxford. Beyond her research, she has professional experience of and interest in British educational policy, the strategy and operation of HEIs and the facilitation of inclusive and supportive research cultures.

I am an archaeologist focused in Culture Evolution, Computational Archaeology and mathematical and spatial analysis applied to Archaeology and Prehistory. I also advocate for collaborative science, open research and scientific reproducibility, as one of the best ways to improve scientific outcomes

Amaia is an MPhil Digital Humanities student and a Student Fellow at the Leverhulme Centre for the Future of Intelligence. Her research examines AI narratives and how speculative fiction and media shape our understanding of individual and collective experiences. She is interested in the construction and re-embodiment of personhood, gender and sex in the digital age, and how these states intersect with developments in reproductive technologies. Her academic focus also concerns the myths that uphold AI systems, their imagined users, and how they inform exclusionary or inclusive design processes.