Digital Humanities

Digital Humanities (DH) can be understood as a transdisciplinary field where the perspectives and methods of the Social Sciences and Humanities (SSH) coexist with the opportunities offered by techniques for data digitization and automated processing. The objective of this research group is to facilitate the integration of SSH with Computer Science, aiming to develop a common language and to foster joint research efforts.

The initiative seeks to promote the convergence of specific disciplinary languages and establish constructive dialogues among researchers from the ICIC (Institute for Computer Science Research) and the Academic Departments and Institutes based at the National University of the South (UNS), which are connected to SSH disciplines. The ultimate goal is to contribute to a better understanding of the human and social experience of the digital in the contemporary world and to ensure the subsequent transfer of the knowledge generated.

As research topics, the following are considered:

• Artificial Intelligence as a cultural object, its repercussions on various aspects of social life, and its impact on the objects, methods, and research practices in the Social Sciences and Humanities (SSH).
• Natural Language Processing (NLP) and Machine Learning (ML): applications in social and humanistic disciplines. Formal techniques for search/extraction/retrieval, automated information processing and analysis, and the social perspectives in their interpretation: entity and relationship detection within natural language text, topic modeling and social network analysis, sentiment analysis, inter/intradisciplinary applications, scope, and limitations.
• Formal knowledge representation, cognitive processes, and decision-making. Normative and descriptive aspects of intelligent systems and their relationship with human cognitive theories.
• History, impact, potential, and limitations of computational tools in the Social Sciences and Humanities (SSH). Design and development of interactive software and tailored computational methods to address research questions in the social sciences involving large volumes of text. Digital corpora (linguistic, historical, philosophical, among others) and computational techniques for their design, management, and data processing. Computer-Aided Qualitative Data Analysis Software (CAQDAS): scope and limitations.
• Digital communication: verbal and non-verbal resources, digital style, cyberpragmatics, and research methodology.