Welcome

The Congreso Internacional de Ciencia de Datos (CICD) 2026 is an academic conference focused on the latest advances in data science, machine learning, data visualization, and intelligent systems, among other related areas, carried out by the Benemérita Universidad Autónoma de Puebla.

This edition will take place at Ciudad Universitaria (CU), in Puebla, at the Benemérita Universidad Autónoma de Puebla. The conference is organized in collaboration with the Facultad de Ciencias de la Computación and aims to foster academic exchange at national and international levels. Some keynote talks will be broadcast through an online platform.

The CICD 2026 is designed as an open venue for researchers and students to present early, ongoing, or completed research on data preprocessing, exploratory analysis, predictive modeling, artificial intelligence applications, and data governance.

Submitted papers will be reviewed using a double-blind peer review process. Therefore, submissions must not contain author-identifying information or self-referencing citations. Also, the papers will be passed through AI detection to ensure that only high-quality works are produced. Accepted papers will be published in a scientific proceedings volume with an assigned ISBN.

All accepted papers for the conference proceedings must be written in English.

• Data preprocessing
• Didactics in Data Science
• Education
• Exploratory data analysis
• Feature engineering
• Dimensionality reduction
• Statistical inference
• Time series analysis
• Supervised learning
• Unsupervised learning
• Deep learning
• Data visualization
• Model evaluation and validation
• Big data processing
• Cloud-based data pipelines
• Data ethics and governance
• AI for decision support
• Data science applications

The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.

Congreso Internacional de Ciencia de Datos

6 de noviembre 2026 • CU - Puebla, México

CONTACT

Dr. Daniel Marcelo González Arriaga

Profesor Investigador • Benemérita Universidad Autónoma de Puebla

daniel.gonzalezarr@correo.buap.mx

Committee

In construction . . .

Call for Papers

Paper guidelines

Papers should be prepared according to the author guidelines indicated in the template, and they should be a maximum of twelve (12) pages long including references. The page size is letter.

All papers must be submitted in electronic format as PDF files before the submission deadline. All papers are subject to a single-blind review process. All accepted papers must be written in English.

A paper must be submitted via the CMT online submission system: CICD CMT Portal

• Data preprocessing
• Didactics in Data Science
• Education
• Exploratory data analysis
• Feature engineering
• Dimensionality reduction
• Statistical inference
• Time series analysis
• Supervised learning
• Unsupervised learning
• Deep learning
• Data visualization
• Model evaluation and validation
• Big data processing
• Cloud-based data pipelines
• Data ethics and governance
• AI for decision support
• Data science applications

Important Dates

• Paper submission deadline: September 20, 2026
• Acceptance notification: October 15, 2026
• Camera-ready files due: October 26, 2026
• Event date: November 6, 2026

Keynote Speakers

In construction . . .

Registration

In construction . . .

Venue

This edition will be held in Albert Einstein Auditorium, Facultad de Ciencias de la Computación, Benemérita Universidad Autónoma de Puebla, Puebla, México.

Program

In construction . . .

• Data preprocessing
• Didactics in Data Science
• Education
• Exploratory data analysis
• Feature engineering
• Dimensionality reduction
• Statistical inference
• Time series analysis
• Supervised learning
• Unsupervised learning
• Deep learning
• Data visualization
• Model evaluation and validation
• Big data processing
• Cloud-based data pipelines
• Data ethics and governance
• AI for decision support
• Data science applications

The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.

Publication

In construction . . .