Manuscript Topics

The integration of artificial intelligence (AI) and machine learning (ML) into earthquake seismology represents a transformative shift in how seismic data is processed, analyzed, and interpreted. This emerging interdisciplinary domain presents new opportunities for research and applications, which this journal seeks to emphasize. Moreover, recent studies indicate that AI and ML techniques significantly enhance the capabilities of seismologists by providing more accurate and efficient processing of large datasets. These techniques have proven effective in addressing challenges such as imbalanced datasets in ground-motion prediction. Therefore, this special issue aims to explore the significant impact of AI and ML techniques on various aspects of seismology and to compile cutting-edge research that showcases the advancements, applications, and future directions of AI and ML techniques in understanding seismic phenomena. The primary objectives of this special issue are as follows:

• To highlight recent advancements in AI and ML applications for earthquake monitoring, catalog development, and seismicity analysis.
• To examine the challenges and limitations currently encountered in AI and ML applications within the seismology field.
• To explore future research directions and the potential of AI and ML to enhance earthquake forecasting and risk assessment.
This issue will encompass a wide range of applications, methodologies, challenges, and future directions in the field. We invite contributions that address the following and related topics within the field of ML in earthquake seismology, including but not limited to:
• Earthquake Catalog Development
• Seismicity Analysis
• Ground-Motion Prediction
• Crustal Deformation Analysis
• Real-Time Monitoring and Early Warning Systems
• Future Directions and Challenges

Instruction for Authors
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