Special Issue: Advanced Data Analytics: Trends, Challenges, and Applications
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ADATA 2026 — Advanced Data Analytics: Trends, Challenges, and Applications
November 1, 2026 – December 31, 2026Call for papers
Advanced Data Analytics: Trends, Challenges, and Applications
Important dates
Jun 30, 2026: Full paper submission
July 12, 2026: Review results returned
Aug 23, 2026: Revised paper submission
Sep 6, 2026: Final acceptance/rejection decision
Oct 6, 2026: Copyediting, formatting, and proofreading
Nov 30, 2026: Production
Introduction
A careful invitation is made to present original works that will be published in the Computación y Sistemas journal (ISSN 1405-5546). This quarterly journal, indexed in Journal Citation Reports and Scopus, holds growing prestige. The central theme of the upcoming special edition will focus on recent scientific and technological advancements in data-driven intelligence. Specifically, this edition will be published as a thematic issue titled: Advanced Data Analytics: Trends, Challenges, and Applications. Preference will be given to works resulting from a) research stays abroad, b) postgraduate studies abroad, and c) international collaboration projects.
The thematic edition, Advanced Data Analytics: Trends, Challenges, and Applications, aims to publish high-quality and innovative research that advances both the theoretical foundations and the practical implementation of data-driven analytical methods. This edition welcomes contributions that explore emerging approaches, models, and algorithms, including expert and decision-support systems, metaheuristic optimization, recommender systems, forecasting, and machine and deep learning, among other relevant areas.
Manuscripts offering comprehensive literature reviews on advanced data analytics and artificial intelligence techniques for predictive and prescriptive analytics are also encouraged, particularly those focused on optimization, automation, and data-informed decision-making. Contributions that showcase representative applications, real-world implementations, and complex case studies are especially valued. Authors are expected to present their findings in a way that motivates readers to adopt these analytical technologies to build intelligent enterprises, strengthen Industry 4.0 ecosystems, and promote further research and innovation in this rapidly evolving field.
The editorial initiative, Advanced Data Analytics: Trends, Challenges, and Applications, is part of the Eurekas Community (https://www.eurekascommunity.org), an international and multidisciplinary scientific community founded in 2008. Eurekas unites professionals from diverse fields, including mathematics, computer science, engineering, administration, economics, and social sciences. With over 60 research groups in more than 20 countries across America and Europe, Eurekas focuses on collaborative efforts to advance theoretical and practical developments in data and business analysis, contributing to the construction of society and the knowledge economy; since its foundation, Eurekas has contributed with multiple projects for that purpose. All submitted chapters will be accepted only after a rigorous review process conducted by our collaborators worldwide.
Recommended topics (not limited to)
- Advanced data analytics frameworks and architectures
- Machine learning, deep learning, and AutoML techniques
- Explainable, fair, and trustworthy AI
- Predictive, prescriptive, and descriptive analytics
- Metaheuristic and optimization algorithms
- Expert systems and intelligent decision-support systems
- Data governance, quality assessment, and observability
- Real-time, streaming, and edge data analytics
- Generative and multimodal data analytics
- Big Data and Cloud-Based Analytics
- Domain Applications in finance, healthcare, education, energy, and Industry 4.0
- Smart cities, IoT, and cyber-physical systems
- Sustainable, ethical, and responsible data analytics
Submission procedure
Researchers and practitioners are invited to submit, on or before June 30, 2026, a full paper of 8,000 to 16,000 words clearly explaining their paper's purpose, relevance, and contribution at https://econferencias.uacj.mx/ocs/index.php/ADATA/ADATA2026. All submitted manuscripts will undergo a double-blind review process. All authors interested in submitting manuscripts must consult the guidelines for manuscript preparation, which are readily available at https://www.cys.cic.ipn.mx/ojs/index.php/CyS/about/submissions#authorGuidelines (see sections Author Guideline and Submission Preparation Checklist ). The corresponding author should submit the proposal through the https://econferencias.uacj.mx/ocs/index.php/ADATA/ADATA2026/author/submit submission manager. Contributors may also be requested to serve as reviewers for this publication project.
NOTE: There are no acceptance or publication fees for manuscripts submitted to this journal, Computación y Sistemas, in the thematic section Advanced Data Analytics: Trends, Challenges, and Applications. The manuscripts will only be accepted as the result of a peer-review editorial process.
Publisher
The thematic section in this journal is scheduled to be published by Centro de Investigación en Computación del Instituto Politécnico Nacional, a Mexican public institution considered one of the most important educational institutions in Mexico and Latin America. The journal is indexed in Journal Citation Reports (JCR, IF=0.4), SCOPUS, Web of Science (Emerging Sources Citation, and SciELO), CRMCYT, E-Journal, REDIB, Latindex, Biblat, Periodica, and DBLP. It is anticipated that this publication will be released during January 2027.
Editors
Dra. Laura CRUZ-REYES, Tecnológico Nacional de México / Instituto Tecnológico de Ciudad Madero
Dr. Vicente GARCÍA JIMÉNEZ, Universidad Autónoma de Ciudad Juárez (México)
Dr. Juan Carlos LEYVA LÓPEZ, Universidad Autónoma de Occidente (México)
Resources
- Submission link: https://econferencias.uacj.mx/ocs/index.php/ADATA/ADATA2026/author/submit
- LaTeX class and example: https://www.cys.cic.ipn.mx/cys/LATEX.ZIP
- Word template: https://www.cys.cic.ipn.mx/cys/CyS-template.docx
- Citation and reference style: https://www.cys.cic.ipn.mx/cys/CyS-template.docx
Inquiries
lauracruzreyes@gmail.com.mx (copy to cruzreyeslaura@gmail.com)
vicente.jimenez@uacj.mx (copy to vgarciaj@gmail.com)
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