Comparative document analysis as a tool for studying social developments.
In my project, I examine digital documents using automated, computer-based comparative methods. These methods are used to trace how current regulations or the state of knowledge in certain fields develop over time. For example, by analysing the EU directive on energy consumption, it is possible to show how it has changed and affected the production of electrical appliances.
During my stay at CAIS, I will use encyclopaedic online projects (such as OpenStreetMap or Wikipedia) to examine documents that users continuously change.
In doing so, I not only want to describe the data structure of large text collections, but also analyse the knowledge that is represented by these data. With my project, I make methods of theoretical computer science usable for other disciplines, such as the social sciences.
Main research areas
- Computer-based comparative document analysis
- Comparison algorithms and revision control systems
- Formalisation of knowledge
- Theoretical computer science and its points of contact with social sciences, humanities and natural sciences
Curriculum Vitae
- 2014 – 2015, now: Cologne Center for eHumanities: research assistant with focus on modelling, research data management and collation
- 2015 – 2016: Marie Skłodowska-Curie Experienced Researcher in the DiXiT ITN, EU FP7
- since 2013: Organiser of the ACM DChanges Workshop, part of the annual international conference ACM DocEng.
- 2013: PhD in Computer Science (Scienze dell’informazione, Computer Science): Dr. rer. nat., Università di Bologna, Italy
Presentations and publications within the framework of the funded project
- Barabucci, G. (2017, April). Not a Single Bit in Common: Issues in Collating Digital Transcriptions of Ibn Rušd’s Writings in Multiple Languages (Arabic, Hebrew and Latin), Digital Humanities Abu Dhabi 2017 Conference. New York University Abu Dhabi.
- Barabucci, G. (2017, February). Computer-assisted collation and digital documents: possibilities, limits and open research questions, Research Training Group 2196: Document – Text – Edition, Bergische Universität Wuppertal.