Elisa Squadrito

University of Macerata, PhD School in Humanities and Technologies
Member of: WG1, WG2, WG3, WG4

FEATURED NEOLOGISM:

One of my favourite neologisms, if it can be considered as such, is the English term “data art” or “data-driven art.” Unlike generative art and data visualisation, data art, as quoted, “transforms raw data into visual narratives or interactive experiences, challenging traditional methods and pushing the boundaries of creativity in contemporary art practices.” By using datasets as its main medium, the data artists aims to create artefacts intended for the public enjoyment and reflection. Kirell Benzi has contributed to this field by creating the data art manifesto.

Elisa Squadrito holds a Bachelor’s degree in English and French Languages and Literature from the University of Messina and a Master’s degree in Languages, Society, and Communication from the University of Bologna. During her Master’s, she focused on specialized translation, corpus-based linguistics, and terminology, serving as a research intern within the lexicographic project LBC Lessico dei Beni Culturali, where she worked on the artistic terminology in Vasari’s Le Vite and its English and French translations. Currently, she is a doctoral fellow in Digital Humanities at the University of Macerata and the Institute of Computational Linguistics A. Zampolli, funded by the PNRR project H2IOSC. Her PhD research focuses on multilingual terminological description within the Cultural Heritage sector and aims to create a terminological knowledge base on Illuminated Manuscripts to be published as Linked Open Data. In addition to terminology, lexicography, and corpus linguistics, she is interested in lexical innovation and how societal and technological advancements shape both general and specialized discourse.