📢 Call for Papers: 2nd Mexican Artificial Intelligence and Data Science Conference (MEXAI&DC 2026)
📅 Conference Dates: October 8–9, 2026
⏰ Submission Deadline: Friday, July 27, 2026 (Final Extension)
🚩UPIIT IPN, Tlaxcala, Mexico (Hybrid).
🌟 About the Conference
The organizing committee warmly invites researchers, academics, students, and industry professionals to submit original, unpublished work to the 2nd Mexican Artificial Intelligence and Data Science Conference (MEXAI&DC 2026) 🇲🇽🤖. This scientific forum focuses on recent advances, innovative methodologies, and emerging practical applications in AI and Data Science.
🔬 Topics of Interest
We welcome both theoretical and applied contributions, including but not limited to:
- 🧠 Artificial Intelligence & Data Science
- 🤖 Machine Learning, Neural Networks & Fuzzy Logic
- 🗣️ Natural Language Processing (NLP) & Computer Vision 👁️
- 📊 Big Data, IoT, and Smart Cities 🏙️
- 💻 Software Engineering & HCI
- ⚛️ Quantum & Parallel Computing
- 🦾 Robotics, Mechatronics, and Automation
- 📉 Simulation, Modeling, & Computational Cognitive Sciences
- 🔍 Knowldege Graphs and Ontologies
- 🧬 Genetic Algorithms
📝 Key Submission Guidelines
- 📏 Length: 8 to 12 pages (standard format).
- 🌎 Language: English only.
- 🙈 Anonymity: Double-blind review process—remove all author names, affiliations, and acknowledgments from the initial PDF.
- 🔗 Platform: Submissions handled exclusively via Microsoft CMT.
- 🎤 Attendance: At least one author must register and present the accepted paper for inclusion in the proceedings.
📆 Important Dates
🔓 Publication, Indexing, and Open Access (No APC)
- 💸 Zero Publication Fees (No APC): Committed to open science, there are no charges for processing or publishing papers.
- 📚 Open Access: Accepted & presented papers will be published in the official proceedings hosted on Zenodo under a CC BY 4.0 license.
- 🏷️ Visibility: Each paper receives a free DOI, ensuring automatic indexing in academic engines like Google Scholar.
- 🛡️ Integrity: All manuscripts undergo mandatory plagiarism and AI-generated content screening.
🔗 Useful Links
Best Regards,
Dr. Jesús García Ramírez