Geo-sensing and data science represent a rapidly evolving interdisciplinary research area that bridges geotechnics, geology, sensor technology, and computational science. This field focuses on monitoring, analyzing, and predicting the stability and performance of geological systems and infrastructures under varying environmental and operational conditions. As challenges such as natural hazards, resource scarcity, and climate change intensify, geo-sensing and data science techniques provide essential tools for understanding and mitigating risks in geo-engineering.
Advanced techniques, including distributed fiber optic sensing, satellite-based remote sensing, artificial intelligence, and big data analytics, are reshaping traditional practices in geotechnical monitoring and analysis. These state-of-the-art methods offer unprecedented capabilities in capturing real-time, high-resolution data and integrating it into predictive models and decision-making frameworks. By leveraging such innovations, researchers and practitioners can enhance the resilience, safety, and sustainability of geo-environmental and civil infrastructure systems.
In line with the themes of the European Geosciences Union General Assembly 2025 (EGU25)-NH9.11, Resilient Management of Long Linear Infrastructures in a Changing Climate (https://meetingorganizer.copernicus.org/EGU25/session/53211), this special issue seeks to explore how geo-sensing and data science contribute to managing the risks and challenges posed by a rapidly changing climate. This call for papers aims to bring together the latest research, technological breakthroughs, and interdisciplinary approaches to improve the performance and adaptability of critical infrastructures worldwide.
Topics of Interest
We invite submissions on (but not limited to) the following topics:
Innovative Geo-Sensing Technologies
Development and application of novel sensors and distributed sensing techniques for strain, deformation, and environmental monitoring.
Big Data and Machine Learning in Geotechnics
Utilizing AI, machine learning, and big data analytics for predictive modeling, anomaly detection, and system optimization in geotechnical engineering.
Climate-Resilient Infrastructure Monitoring
Geo-sensing and data-driven strategies for managing and mitigating climate impacts on long linear infrastructures.
Real-Time Data Integration and Analysis
Systems and methodologies for real-time data acquisition, fusion, and visualization in geotechnical monitoring.
Applications of Digital Twins in Geotechnical Systems
Leveraging digital twin technologies for simulating, monitoring, and managing infrastructure systems.
Risk Assessment and Early Warning Systems
Data-driven approaches for disaster risk evaluation, early warning, and mitigation in geotechnical and geological systems.
Interdisciplinary Approaches in Geo-Sensing and Data Science
Combining geotechnics, data science, and other disciplines to address complex challenges in infrastructure management.
Submission and Participation
This special issue welcomes contributions from researchers, practitioners, and industry experts working in related research fields. We also encourage submissions inspired by the discussions at the EGU25 meeting to foster cross-disciplinary collaboration and innovation.
Instructions for Authors
Manuscripts should be submitted through the journal’s submission system. Please ensure to select the special issue “Geo-Sensing 2025” when choosing the article type.
Submission Deadline: 15 December 2025
For detailed submission guidelines, please visit the journal’s website or contact the guest editors directly.
For more information, please contact Dr. Daoyuan Tan (dytan@nju.edu.cn).
【Conveners】Giulia Bossi, Matteo Mantovani, and Xueyu Geng
【Topics】
Monitoring and modeling techniques
AI-driven solutions for managing natural hazards
Innovations for resilient infrastructure
【Key Dates】
Abstract submission deadline: 15 January 2025
Support application deadline: 2 December 2024
The vast majority of Long Linear Infrastructures (LLIs) were designed several decades ago, intended to operate in a climatic context vastly different from the one we face today. Global warming has led to the intensification of extreme meteorological events and has altered precipitation and temperature patterns, significantly increasing the vulnerability of LLIs to natural hazards.
Ensuring high levels of functionality and safety, particularly for the oldest yet still vital LLIs, has become an ongoing challenge. This challenge has driven a substantial increase in investments directed toward maintenance and the reassessment of associated risks.
In an era marked by climate change and committed to sustainability, it is clear that a new paradigm for the long-term management of LLIs is urgently needed. This approach must be multidisciplinary and multi-technological, capable of addressing the extensive spatial distribution of LLIs and the multitude of hazards they face, such as landslides, floods, drought cycles, and more.
We invite presentations on the following topics:
a. Monitoring Approaches and Sensing Techniques: Cutting-edge methods to detect, map, and measure natural hazards impacting LLIs and to assess the structural health of LLIs.
b. Modeling Strategies: Advanced techniques that leverage data to understand and predict processes leading to localized or widespread damage under evolving climate conditions.
c. Risk Assessment and Management Frameworks: Development of comprehensive frameworks through applications of big data analytics and machine learning that integrate real-time monitoring and predictive analytics to assess vulnerability, predict risks, and enhance the resilience of LLIs in the face of natural hazards.
e. Sustainable Design and Retrofitting: Strategies for retrofitting existing LLIs to improve their resilience and sustainability in light of future climate uncertainties.
f. Interdisciplinary AI Applications in LLIs: Exploring AI-driven solutions that merge engineering, environmental science, and urban planning to enhance LLI management under climatic shifts. This topic seeks innovative contributions on AI-enhanced simulations, lifecycle tools, and adaptive systems for robust infrastructure performance.
We encourage submissions that explore these topics and contribute to the development of innovative, sustainable solutions for the long-term management of LLIs in a changing climate.
为深入贯彻习近平新时代中国特色社会主义思想,落实中央关于统筹推进疫情防控和经济社会发展的决策部署,加强我国岩石力学与工程领域的学术交流,促进我国岩石力学与工程领域科技创新,推动科技经济深度融合,积极参与人类命运共同体构建,服务决胜全面建成小康社会,中国岩石力学与工程学会经研究决定,于2020年10月23~26日在北京召开“CHINA ROCK 2020第十七次中国岩石力学与工程学术年会”。现将会议有关事项通知如下:
一、大会背景
为深入贯彻落实中国科协《学会改革工作要点》的精神,解决目前举办学术会议存在的“碎片化、重复性、资源浪费”的问题,中国岩石力学与工程学会提出了学术大会改革的方向为“国际化、规模化、一体化”;“一体化”是指“技术培训—学术报告—工业展览”三位一体。2018年学术会议改革取得历史性突破,开辟了前所未有的新局面。在成功举办CHINA ROCK 2018与CHINA ROCK 2019的基础上,2020年继续以“国际化、规模化、一体化”为方向,将“CHINA ROCK”打造成为世界一流学术会议品牌。
CHINA ROCK 2020第十七次中国岩石力学与工程学术年会科技创新工业展览会将采用线下+线上的“双线”模式。CHINA ROCK 2020科技创新工业展览会将会做好防疫工作,在线下主会场旁边设置4000平米展览面积,6大主题展区,同时打造线上云展厅。
CHINA ROCK 2020科技创新工业展览会云展厅将利用线上云优势,对推广数据进行统计,鼓励推广者,增加宣传渠道,扩大宣传面;通过收集云展厅观众浏览信息,掌握对每个参展单位感兴趣的人群,精确匹配潜在用户群体。用更先进的信息技术为工程装备制造单位、科研院所、大专院校及相关企、事业单位搭建科技创新展示交流平台,是宣传推介成果和寻找技术合作的绝佳机会。学会将全力打造365天永不落幕的“CHINA ROCK科技创新工业展览会”,创建国际一流CHINA ROCK品牌展会。