• Miguel Angel Sánchez-Acevedo, University of La Cañada, Mexico

• Venustiano Soancatl-Aguilar, University of Gröningen, Netherlands
• Belen Casas Mas, Complutense University of Madrid, Spain
• Pamela Fabiola Menendez Condor, Complutense University of Madrid, Spain
• Carmen Carlota Martínez Gil, University of La Cañada, Mexico
• Israel Jesús Orlando-Guerrero, University of La Cañada, Mexico
• Angel Juan Sánchez García, Veracruzana University, Mexico
• Lourdes Mota Morales, Veracruzana University, Mexico
• Marco Aurelio Nuño-Maganda, Polytechnic University of Victoria, Mexico
• Jorge de la Calleja Mora, Polytechnic University of Puebla, Mexico.
• María del Rocio Morales Salgado, Popular Autonomous University of the State of Puebla, Mexico

The advancement of Artificial Intelligence and the availability of big data require new models, tools, and innovative solutions to extract knowledge from data, optimize decision-making, design general models, and propose ethical and secure frameworks for the development of AI solutions. With the aim of contributing to the advancement of Artificial Intelligence and Data Science, this conference invites original research and innovative solutions for big data management, data retrieval and integration from multiple sources, machine learning algorithms for pattern extraction, prediction, and learning, deep learning, large language models, ethical and secure frameworks, and new tools and techniques for visualizing information and solving real-world problems through the application of Artificial Intelligence and Data Science.

We invite researchers, practitioners, and students to submit papers related to artificial intelligence and data science, including, but not limited to::

• Novel methods or tools for managing big data and its applications.
• Data security and privacy
• Big data mining
• Knowledge management
• Data science infrastructure
• Recommendation systems
• Multimedia data analysis and management
• Dashboard for decision-making to contribute to sustainable development
• Machine learning
• Deep learning
• Large language models
• Robotics
• Machine vision
• Natural language processing
• Automatic reasoning
• AI ethics
• Data ethics

• Submissions deadline: Jul 31, 2026
• Notification of final decisions: Aug 31, 2026
• Conference: Nov 12-13, 2026

labcid@unca.edu.mx