Innovation and social implementation of AI, data science, and digital twins are advancing rapidly in a wide range of fields including infrastructure, disaster prevention, cities, environment, transportation, and energy.
Scope of the Journal
Intelligence, Informatics and Infrastructure solicits papers from research and development, education, survey and testing, to practices in the related areas. We aim to serve as a core academic platform for research dissemination in AI and data science, with particular emphasis on their applications in civil engineering. The journal prioritizes innovation, future potential, and social relevance.
Article Types
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1
Original Research Papers
Theoretical or experimental research presenting new findings and significant contributions.
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2
Review Articles
Comprehensive surveys of specific topics, summarizing current status and future directions.
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3
Technical Reports
Practical applications, case studies, and implementation reports in civil engineering.
Digital Archiving Policy
To ensure the long-term preservation and accessibility of scholarly research, all articles published in JIII are archived in J-STAGE (Japan Science and Technology Information Aggregator, Electronic) and the National Diet Library of Japan. This guarantees that the content will remain available to the global community regardless of any future changes.
Key Topics
- AI & Machine Learning
- Digital Twins & IoT
- Robotics & Automation
- Maintenance & Management
- Disaster Prevention
- Education in Informatics
Subject Areas
- Engineering in General
- Architecture and Civil Engineering
- Information Sciences
- Interdisciplinary Sciences