Purpose and scope of SITIC 2023

The development of modern societies cannot be conceived without digital technologies. The digital transformation of all socio-economic processes allows an increase in their efficiency and effectiveness, for which advanced industrialization technologies, also called enabling technologies, are necessary. This information-based revolution generates a continuous development of the formats and ways in which information is searched, retrieved, processed and used.

It is impossible to advance in this development environment without being able to close the R+D+i cycle, in which knowledge transfer plays a crucial role. The knowledge generated during an investigation has to be converted into solving-problem technologies and enable efficient production processes. On the other hand, the development of innovative computer products and services, which make it possible to achieve technological independence and the generation of exportable products, is not possible without the incorporation of new computational methods based on self-knowledge.

The Symposium "Knowledge Generation and Transfer for Digital Transformation" is aimed at disseminating the main scientific results achieved in the field of information technologies and promoting a framework for scientific exchange within the academic-scientific center, with the productive sector and services. This guarantees the updating of existing knowledge in this field and its transfer to different actors in society. In summary, the Symposium will be focused on the latest technologies in Computing and the University-Company relationship in the Information Technologies (IT) field based on knowledge transfer and innovation.

The symposium includes tutorial courses, specialized conferences and paper presentations.

Organizing committee

President of the Organizing Committee:

Dr. Daniel Gálvez Lio. (dgalvez@uclv.edu.cu)

President of the Scientific Committee:

Dr. Rafael Bello Pérez. (rbellop@uclv.edu.cu)

Executive Secretary: ,

Themes

·       University-Company relationship for IT development: Innovative knowledge transfer in the Cuban software industry. Prospects for the export of computer products and services. University-Company productive linkages. Experiences and good practices in software export.

·       Information and Knowledge for Development: Information and Knowledge for Development: Information and Knowledge Management: systems, models and audits in the business and public administration context, citizen library, trends in information services. Media and Information Literacy. Open Science and Education: policies, open access, open educational resources, open review of scientific publications, open and linked data, citizen science, infrastructure and services. Research Data Management: good practices, FAIR Data, use of metadata to describe data sets, research data repositories, data protection and socialization of data sets in open environments. Digital transformation: governance/e-government, digital preservation, document management, policies, tools and platforms. Current challenges in the training of the information professional: Didactics of Information Sciences, educational innovation for the training of the information professional. Evaluation of scientific production and communication: bibliometrics, science evaluation indicators, research information systems (CRIS), rankings, analysis techniques and visualization of scientific information, alternative metrics.

·       Data Sciences and Big Data: Techniques for Knowledge Discovery (Non-Standard Machine Learning, Explainable Artificial Intelligence, Soft Computing and Metaheuristics, Distributed Algorithms for Machine Learning, Deep Neural Networks, Massive Data Mining, Natural Language Processing, Text Mining, Opinion Mining-Sentiment Analysis). Computer vision and signal processing and analysis. Infrastructures for data science (data analysis based on high performance computing and cloud computing). Heterogeneous infrastructures to offer high performance computing (HPC) and Bigdata. Cloud computing platforms for the deployment of supercomputing services. Good practices in the use of DevOps techniques. OpenStack as a service infrastructure for HPC and BigData. Data science applications (Industry 4.0, Smart factories, IoT, Simulation of systems and digital twins).

·       Sub-event: I International Workshop on Semantic Web Technologies and Applications in the field of Artificial Intelligence of Things: Interoperability between applications and artifacts. Usability and user experience in semantic web and AIoT application environments. Representation and integration of data in AIoT and Semantic Web. AIoT and Semantic Web control models. Public services and Semantic Web applications based on AIoT. Architectures for Open and Linked Data in AIoT and Semantic Web. Use of model and learning algorithms and machine learning in AIoT and Semantic Web. Search and retrieval of information through the AIoT and Semantic Web ecosystem

Special Session:

Steering Committee

·       PhD. Carlos Morell Pérez

·       PhD. Yusely Ruiz González

·       PhD. Alberto Taboada Crispi

·       PhD. María Josefa Peralta González

·       PhD. Grizly Meneses Placeres

·       PhD. Manuel Osvaldo Machado Rivero

·       PhD. Cruz Enríquez

·       PhD. Yanet Rodríguez Sarabia

·       PhD. García Lorenzo

·       PhD. Amed Leyva Mederos

·       PhD. Deborah Galpert Cañizares

·       PhD. Carlos García González

Webmaster

Eng. Erik Silverio Pombrol

Rules for sending contributions

Contributions must be original and adapted to the themes of the symposium. They will be submitted to a peer-reviewing process by the Scientific Committee of the Symposium and evaluated according to criteria of scientific rigor, topicality and contribution to the areas of knowledge in the fundamental thematic axes.

Papers must be written according to the format established in the call for the UCLV Scientific Convention 2023, in Spanish or English with a maximum length of 6 pages. They must be uploaded to the symposium site. The accepted papers will be published in the convention proceedings under the Editorial Samuel Feijoó of the Central University "Marta Abreu" of Las Villas, with ISBN 978-959-312-570-3.

The authors of selected papers will be encouraged to prepare extended versions for publication in journals after an extra peer-reviewing process; papers will be selected according to their rigor and scientific level and according to the characteristics of the journal. The selected Journals are: Revista Cubana de Ciencias Informáticas (https://rcci.uci.cu), Revista Cubana de Transformación Digital (https://rctd.uic.cu), and the Iberoamerican Journal of Science Measurement and Communication (https://ijsmc.pro-metrics.org). In the case of the Semantic Web theme, the proceedings will be published by Frontiers in AI and Application (https://www.frontiersin.org/journals/artificial-intelligence)

Dates of interest

·       Deadline for submission of abstracts and papers: September 15, 2023

·       Notification to authors about the outcome of the review of papers: October 1, 2023

·       Delivery of the final version of the accepted works: October 6, 2023

Lectures and Tutorial Courses

Keynote lectures will be given. The face-to-face presentation of the conference by Dr. Francisco Herrera, renowned professor of the Department of Computer Science and Artificial Intelligence of the University of Granada (H 174 Index); as well as others in person or virtually by other renowned Cuban and foreign specialists that will be announced later.

Pre-event courses will be taught virtually, among which are planned so far:

1.    Analysis, visualization and processing of geographic information.

·       Professor: Dr. Romel Vázquez.

2.    How to protect research data.

·       Professor: Dr. Manuel Osvaldo Machado Rivero.

3.    Design of Open Science policies.

·       Professor: Dr. Grizly Meneses Placeres.

4.    Systematic Reviews and Bibliometrics for Scientific Research

·       Professors: Dr.C. María Josefa Peralta González and Dr.C. Grizly Meneses Placeres

5.    Introduction to Explainable Artificial Intelligence (XAI).

·       Professors: Dr. María M García Lorenzo and Dr. Rafael Bello.

6.    Methods and implementations of applications of the PDI/VC in the analysis of images according to health.

·       Professors: Alberto Dr. C. Taboada Crispi and Dr. Yusely Ruiz González.

7.    Semantic web.

·       Professor: Dr. Amed Leiva Mederos.

8.    Big data and data science.

·       Professor: Dr. Deborah Galpert Cañizares.

More information about conferences and pre-event courses can be found on the Convention website.

Virtual event

The participation in SITIC 2023 can be also virtual. The program will be organized in work sessions where the text of the paper in pdf, a presentation in pdf format and a 10-minute video with the oral presentation will be available for each accepted work. All this information will be available offline during the entire symposium. Participants may make comments or questions to the authors and speakers.

Those registered for the Symposium will have access to all the materials.