Category Archives: Data-Driven Research

New Digital Humanities course for PhD students available in Turin

The Digital Humanities course for PhD students has been established at the PhD School for Humanities (Scuola di Dottorato in Scienze Umanistiche), University of Turin. The course is designed and hosted by the newly born inter-departmental centre of DIgital Scholarship … Continue reading

Posted in Data-Driven Research, Digital Humanities, Distant Reading, DR2, History of ideas, Methodology, Quantitative methods, Teaching, Uncategorized | Leave a comment

Upcoming talk by Eugenio Petrovic @DS² 2021 conference

We are glad to announce an upcoming talk by Eugenio Petrovich at the DS² 2021 conference (Digital Studies of Digital Science) @UCLouvain. Here more details on the program. The conference aims to connect two groups of scholars working on separate … Continue reading

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On-line workshop, February 17-19 – Sentiment analysis on multilingual 18th-century corpora

We give notice of the on-line workshop Sentiment Analysis in Literary studies organized by the Centre for Information Modelling of the University of Graz. Sentiment analysis is a common task in literary studies, yet sitting outside the mainstream of analytic computational procedures … Continue reading

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Analytic and Continental Philosophy: playing around with quantitative methods

by Pietro Lana   What can quantitative methods tell us about the differences between the Analytic and the Continental philosophical traditions? Attempts to define, characterize and distinguish the two have led to such a variety of positions that even the … Continue reading

Posted in Data-Driven Research, Digital Humanities, Distant Reading, History of analytic philosophy, History of philosophy, Quantitative methods, Text mining, Text-Mining | 1 Comment

Considerations about corpus-dependency of topic modelling with Mallet

By Sara Garzone and Nicola Ruschena In the context of text mining, topic modelling analyses co-occurrence patterns among textual data, in order to isolate clusters from the set of expressions occurring in a corpus. Topic modelling aims at extracting topics … Continue reading

Posted in Data-Driven Research, Text mining | 2 Comments

DR2@STOREP: quantitative history of ideas between philosophy and economics

We are proud to announce that several DR2 members will be present at the 17th Annual Conference of STOREP (Associazione Italiana per la Storia dell’Economia Politica || Italian Association for the History of Economic Thought). This is now a well-established … Continue reading

Posted in Data-Driven Research, Economics | Tagged | Leave a comment

New DR2 Paper is out on Synthese

We are pleased to announce that a new paper by DR2 co-founders Guido Bonino and Paolo Tripodi, together with another DR2 affiliate member, Paolo Maffezioli, has been published on Synthese: “Logic in analytic philosophy: a quantitative analysis”.  Abstract: Using quantitative … Continue reading

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Building a flow map from scrap

By Emiliano Tolusso Maps are a pleasant and handy way of visualizing spatial data. Choropleths especially are widely employed in the visual description of spatial phenomena. However, as much as traditional maps are a popular solution, they suffer from a … Continue reading

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Practices and Malpractices. What the Analysis of Retractions can Tell us about the Research Ethos of the Humanities

By Eugenio Petrovich In the last decades, the number of retractions of scientific articles has significantly grown in all disciplines (Steen et al., 2013). Even prestigious journals such as Science are not immune to such growth (Wray & Andersen, 2018). … Continue reading

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DR2-INTERVIEWS: Interview with Peter De Bolla

With this interview we open the series of the “DR2-Interviews”, a new section of this blog dedicated to questions and answers about the use of quantitative methods. A few months ago one of our members, Paolo Babbiotti, was in Cambridge … Continue reading

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