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Federico is a Post-Doctoral researcher in Quantitative Methods (political text analysis) for the projects B6 and C4. The focus of his research is on adopting (and adapting) Natural Language Processing methods for supporting studies in the Digital Humanities and Computational Social Sciences. Currently, he works on developing new methods for cross-lingual topic detection and scaling in political texts. His previous studies have been published in important Digital Humanities journals, such as Digital Scholarships in the Humanities and Digital Humanities Quarterly, as well as at relevant Computer Science conferences, such as EMNLP, JCDL and EACL.