Focus and Scope
Aims, Focus, and Scope
Aims
AI, Innovation, and Resilience for the Environment (AIR) Journal aims to provide an international scholarly platform for advancing interdisciplinary research that integrates artificial intelligence, technological innovation, and environmental resilience. The journal seeks to promote data-driven approaches for environmental protection, climate adaptation, and sustainable resource management. AIR encourages research that supports the development of intelligent, transparent, and sustainable systems capable of addressing global ecological challenges.
Focus
The journal focuses on the application of emerging technologies—particularly artificial intelligence, intelligent automation, and digital systems—to strengthen the resilience of natural and human-made environments. AIR emphasizes interdisciplinary collaboration among environmental science, engineering, data science, and policy studies to develop innovative solutions for climate change mitigation, ecosystem preservation, and sustainable development.
Special attention is given to environmental challenges in tropical and archipelagic regions, including coastal ecosystems, marine environments, and tropical biodiversity.
Scope
AIR welcomes original research articles, reviews, and interdisciplinary studies in areas including, but not limited to:
-
Artificial Intelligence for Environmental Monitoring and Conservation
-
Smart Environmental Sensing and Data Analytics
-
Climate Change Adaptation and Environmental Resilience
-
AI Applications in Agriculture and Sustainable Food Systems
-
Atmospheric, Oceanic, and Climate Intelligence Systems
-
Digital Twins for Ecosystem Modeling and Environmental Governance
-
Autonomous Robotics for Environmental Management
-
Sustainable and Energy-Efficient Artificial Intelligence (Green AI)
-
Environmental Data Transparency and Blockchain Applications
-
Coastal, Marine, and Tropical Ecosystem Protection
-
Human-Centered Environmental Technologies and Orange Technology
-
Environmental Policy, Governance, and Decision-Support Systems

