Nicola Carboni Presentation

Abstract:
The presentation investigates the computational culture landscape and explores the possibilities and challenges associated with framing, curating, and analyzing cultural information. The contribution begins with a brief panorama of current scholarly work in the field of cultural data analysis, highlighting the pivotal role of data curation and knowledge organization methods. Following this introductory overview, the discussion shifts to identifying key areas within the discipline that would benefit from methodological innovation, particularly in relation to curation workflows, ontological conceptualization, and knowledge integration. The investigation delves into the analysis of the conceptual and technical challenges of three of the identified key areas: (i) framing and investigating spatiotemporal dynamics, (ii) recording of intangible cultural elements, and (iii) documenting and analysis of multidimensional entities. Through selected case studies, the presentation underlines the significance of novel research in information science for the advancement of the field of computational culture.

Bio:
Nicola Carboni is a lecturer at the University of Geneva, where he teaches courses in digital images, data curation and knowledge graphs. Previously he was a Fellow at the Swiss Art Research Infrastructure, University of Zurich; and a Digital Humanities Fellow at the Harvard Center for Italian Renaissance Studies. He completed his PhD on the topic of visual heritage and knowledge graphs at NTUA (National Technical University of Athens) and CNRS (National Research Center of France), where he was also previously appointed Marie Curie Fellow. He works on the intersection between knowledge graphs, big visual data, and cultural interpretation.