Lines of Research
Since its creation, the Graduate Program in Information Science has promoted research aimed at epistemological, theoretical and practical development in its area of concentration, Information and Society, with emphasis on the study of phenomena related to the central processes of management, selection, processing, organization, retrieval, use and dissemination of information, mainly aiming to approach, explore, understand and explain these phenomena.
For this, the PGCIN works according to the following four lines of research:
Line of Research 1: Memory, Mediation and Knowledge Organization
It comprises interdisciplinary studies related to memory, mediation, organization and representation of knowledge, considering them as contributing elements for the construction of knowledge in the context of Information Science. In this scope, memory is an investigative pole at the intersections with culture, heritage, identities and their representations in the informational field. It brings together the mediation of information, understood as a dialogical, formative and emancipating process allied to critical reflection, imbricated in the production, organization, preservation and access to information. It covers epistemological and historical studies in the field of knowledge organization, as well as theoretical, methodological, critical and applied development in the representation of interdisciplinary knowledge and in the construction of knowledge organization systems.
The following faculty members work in this line of research:
Faculty.
- Knowledge organization and representation: theories, methods and applications;
- Organization and representation of information (analysis, classification, indexing, cataloging, etc.): theories, methods and applications;
- Knowledge Organization Systems (taxonomies, thesauri, classification systems, ontologies, etc.): theories, methods and applications.
- Information, Memory and Heritage;
- History, Epistemology and Interdisciplinarity in Information Science.
Dr. Eva Cristina Leite da Silva
- Organization and Representation of archival information and Document management;
- Information Science and Interdisciplinarity;
- Information Management and Organizational Memory;
- Diffusion and historical documentary sources;
- Archive, cultural and educational heritage (school documentary sources).
- Organization and representation of information and knowledge;
- Knowledge organization systems;
- Digital document;
- Archivology: information management.
- Museology;
- Museum, heritage and information;
- Organization and representation of cultural heritage;
- Communication and information in museums;
- Museums and heritage in the web space.
- Organization and representation of information and knowledge;
- Knowledge organization systems;
- Theories, methods and applications of knowledge representation;
- Classification, indexing and documentary analysis.
Dr. Thiago Henrique Bragato Barros
- Organization and representation of information and knowledge;
- Knowledge organization systems;
- Ontologies, taxonomies and thesauruses applied to legal-administrative documents;
- Semantics and Discourse;
- Archival science.
Line of Research 2: Information, Scientific Communication and Competence
It researches theoretical, conceptual, methodological aspects and actions related to the production of information, scientific communication and information competence. It develops studies related to access, dissemination, publication, measurement, mediation, disinformation and preservation of information. It investigates the performance of information professionals with regard to training, education and professional competence. It develops research on digital humanities, on the use and impact of algorithms in the information society.
The following faculty members work in this line of research:
Faculty.
- Information metric studies (Scientometrics, Informetrics, Bibliometrics, Librarianship and Archivemetrics);
- E-Science;
- Information Visualization;
- Data mining and clustering;
- Social Network Analysis;
- Information for Public Security;
- Information for Police Science.
- Digital humanities.
- Scientific communication and evaluation;
- Open Science, Open Access
- Information Architecture;
- Accessibility, usability, user experience and UX;
- Trend, use and impact of ICT in Archives, Libraries and Museums.
Dr. Eliana Maria dos Santos Bahia Jacintho
- The archivist and informational competence;
- Documentation in Health Sciences;
- Information Professional and Professional Training;
- Cultural marketing;
- Architecture and documentation;
- Private Files
- Information literacy and citizenship;
- Information literacy and social minorities;
- Information literacy and anxiety due to too much information;
- Information literacy and disinformation;
- Information literacy and information professionals;
- Information literacy and Distance Education (EaD);
- Information literacy and Health;
- Dimensions of information competence: technical, aesthetic, ethical and political.
- Algorithms in the information society (use and impacts);
- Scientific communication and Open Access;
- Copyright;
- Fake News and Disinformation;
- Social media;
- Privacy;
- Digital services in Archives, Libraries and Museums.
- Scientific Data
- Open Science
- Production and Scientific Reproducibility
- Scientific Communication
- Data visualization
- Scientific communication;
- Scientific production;
- Scientific journals;
- Open Access;
- Open Science;
- Research support services.
Dr. Rosângela Schwarz Rodrigues
- Scientific Communication;
- Open Access;
- Scientific production;
- Scientific Portals and Journals
Dr. Thiago Magela Rodrigues Dias
- Scientific Communication and Production (Bibliometrics and Scientometrics);
- Data Extraction and Integration;
- Social Network Analysis;
- Open Access;
- Data science;
- Software Engineering and Software Quality;
- Data Mining, Text Mining and Web Mining.
Line of Research 3: Data, Intelligence and Technology
It investigates processes, environments, services, products and systems involving data, information and knowledge, through interdisciplinary approaches on collection, management, production, storage, sharing, transmission, retrieval, access, security, visualization, interconnection and evaluation of data and existing information in the most diverse contexts, with a view to the sustainability of organizations. As a support, it studies, applies and develops techniques, methods and tools for the creation of intelligent, prospective and innovative technologies.
The following faculty members work in this line of research:
Faculty.
- Intelligent information retrieval;
- Deep Learning;
- Machine learning;
- Text mining;
- Natural language processing;
- Information Retrieval on mobile devices.
Dr. Douglas Dyllon Jeronimo de Macedo
- Information Storage and Retrieval;
- Data Science;
- Health Information;
- Information security;
- Information systems;
- Distributed Systems (Big Data, Computing Cloud, IoT, etc.).
Dr. Gustavo Medeiros de Araujo
- Supervised and Unsupervised Machine Learning;
- Deep Artificial Neural Network;
- Deep Recurrent Neural Network;
- Deep Convolutional Neural Network;
- Data Analytics and Visualization;
- Text Mining;
- Recommendation System;
- Financial Machine Learning.
- Informational Power;
- Legal Framework for Science;
- Technology and inovation;
- Legal Dimension of Personal Data Protection;
- Usability and User Experience;
- Information Architecture;
- Webometrics and Cybermetrics;
- Information visualization;
- Innovation and Information;
- Information and Knowledge Management;
- Information for Intelligence;
- Information for Public Safety;
- Information for Police Science.
- Semantic Web and Linked Data;
- Text Mining (Web Scraping, Web Crawler, Named Entity Recognition, Sentiment Analysis, Question and Answer Systems, Chatbots, Classification, Clustering, Summarization and Similarity of Textual Data);
- Data Science (Machine Learning, Deep Learning).
- Science assessment (esp. peer review);
- Information systems (non-technocentric);
- Public understanding of science;
- Information on social media;
- Scientific communication;
- Scientometric studies;
- Information Modeling and Representation.
Line of Research 4: Information and Knowledge Management
Through interdisciplinary approaches, it is based on information and knowledge resources in organizational processes (for profit or not). It studies the informational aspect as an instrument in decision making through innovation and maintenance of economic, environmental and social sustainability.
The following faculty members work in this line of research:
Faculty.
- Innovation management;
- Open Innovation and Collaboration Networks;
- Strategic Alliances;
- Information Management and Organizational Memory;
- Technology Assessment;
- Innovation Management for Public Security.
Dr. Gregório Jean Varvakis Rados
- Information flows;
- Management of information units;
- Information services;
- Innovation and information services units.
- Professional competence;
- Innovation Management in Information Units;
- People Management in Information Units;
- Marketing in Information Units;
- Sustainability in Information Units;
- Business Information Units;
- Libraries and the implementation of the Sustainable Development of the UN 2030 Agenda;
- Motivation and the information professional.
- Strategic information management and decision making
- Organizational knowledge management
- Absorptive capacity and sources of information
- Innovation management
- Strategic planning
- Entrepreneurial behavior
