TAIMMA 2027 aims to bring together researchers, academics, and practitioners from around the world to exchange innovative ideas, share research findings, and foster international collaborations in artificial intelligence, data science, applied informatics, mixed-methods analytics, and related interdisciplinary fields.

CONFERENCE INFORMATION
- Dates: March 27–29, 2027
- Venue: The Kyoto College of Graduate Studies for Informatics (KCGI), Kyoto, Japan
- Format: Hybrid (March 27–28: Onsite; March 29: Online)
- Official Website: https://www.taimma-conf.org/

TOPICS OF INTEREST
TAIMMA 2027 welcomes original research papers covering a broad range of topics, including:
- Databases, Data Mining, and Knowledge Discovery
- Artificial Intelligence, Machine Learning, and Data Science
- Data Analytics, Big Data, and Information Systems
- Natural Language Processing and Large Language Models (LLMs)
- Digital Transformation and Emerging Technologies
- Quantitative, Qualitative, and Mixed-Methods Research and Analytics
- Interdisciplinary Research and Applications in Informatics and Related Fields

PUBLICATION
Springer Nature has granted approval in principle for the publication of TAIMMA 2027 conference proceedings in the Communications in Computer and Information Science (CCIS) series.

PAPER CATEGORIES
- Full Papers: 12–15 pages recommended (Full paper submissions are encouraged)
- Short Papers: Minimum 6 pages

IMPORTANT DATES
- Paper Submission Deadline (First Call): November 5, 2026
- Acceptance Notification: November 30, 2026

CALL FOR PAPERS BROCHURE (PDF)
https://drive.google.com/file/d/19X46sq1Z-5m7H_6GAtw9Yu-rlcIvhLbN/view?usp=sharing