Bio
Giulia was a doctoral student registered at the faculty of Science within the University of Bristol. Prior to joining The Alan Turing Institute, she obtained an MPhil in Linguistics at Leiden University and a joint BA in Modern and Classical Languages and Literatures at the University of Bologna and the University of Upper Alsace.
Giulia believes that methodological innovation is fundamental in order to make sure that the Humanities will remain relevant in the future, and she is particularly excited to be part of this innovation at the Turing. Her research interests lie principally within the fields of Digital Humanities and Natural Language Processing, which she explored during her time as a research assistant at the Leiden University Centre for Linguistics and the Royal Netherlands Institute for Southeast Asian and Caribbean Studies.
Research interests
Giulia's doctoral research develops novel methodological pipelines for the study of digitally mediated economic activities currently not captured by traditional statistical surveys. The problem mostly arises due to statistical surveys’ static nature, resulting in a disparity between a country’s industrial structure and the way in which this structure is reflected in government industry classification systems. By using unconventional data sources such as web archives, together with techniques from NLP and spatial econometrics, we show improved speed and accuracy in the classification of digital economic activities. Such improvements help us quantitatively answer a range of socio-economic questions relating to economic evolution and inequalities within digital entrepreneurship.