Damages to infrastructures greatly affect the functionality of communities, since they can suspend crucial activities. Furthermore, they can easily provoke indirect damage that outweighs the direct, physical losses, due to cascading disruptions across interconnected systems. Therefore, effective risk mitigation strategies are necessary. This session will explore state-of-the-art approaches for monitoring the critical infrastructure themselves and their structural health and also the potential risks threatening them, integrating advanced remote sensing and on-site technologies. Presentations will address risk assessment frameworks tailored for infrastructures. Special attention will be given to frameworks to estimate or calculate the resilience and provide resilience strategies. Case studies will provide insights into, but will not be limited to, risk-informed decision-making, state-of-the-art monitoring networks, and post-disaster experience.

As urban areas face increasing threats from climate change, natural hazards, and human-induced risks, building resilience has never been more critical. This session explores integrated approaches to multi-risk assessment and the resilience of urban communities and settlements. Experts will present innovative methodologies for identifying and analyzing overlapping risks—such as floods, earthquakes, heatwaves, and social vulnerabilities—within complex urban systems. Case studies will highlight tools and technologies for real-time monitoring, early warning, big-data and adaptive planning. The session will also examine community-based strategies that empower local actors to participate in risk reduction and resilience-building. Participants will gain insights into cross-sectoral collaboration, data-driven decision-making, and the importance of inclusive policies to strengthen the resilience of cities in a rapidly changing world.

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Preservation of cultural heritage is one of the main concerns of modern settlements. Indeed, historical and monumental buildings, such as pieces of art, represent a priceless asset, enhancing the identity of communities. The assessment of cultural heritage’ resilience faces both natural and human-induced hazards. Such assessment necessary involves the knowledge process, which require to combine monitoring, geometrical survey, mechanical and non-destructive tests and historical information’s tracing. A special attention should be paid to complex systems, which comprehend objects of different scales, such as architectural complexes, buildings and artworks. The section aims to collect theoretical and experimental contributions for assessing the resilience of historical-monumental buildings, artifacts and art collections, with a special attention to innovative approaches.

Societies and ecosystems are increasingly exposed to multiple hazards that can interact, overlap, and generate cascading consequences. Traditional single-hazard approaches are no longer sufficient to capture the complexity of risk in interconnected environments. Furthermore, integrating multiple risks is particularly challenging because each risk evolves differently across scales, making it difficult to maintain a consistent and balanced multi-risk integration at different scales. This session addresses recent advances in multi-risk assessment, focusing on frameworks that consider hazard interactions, cumulative impacts, and cascade effects. Case studies about multi-risk management are also welcomed. Particular emphasis will be placed on methods integrating geospatial data, monitoring, and modeling to quantify risks across local, regional, national and global scales.

Effective risk reduction and climate adaptation demand solutions that are not only robust but also sustainable over time. This session focuses on innovative, environmentally sound prevention and mitigation measures that reduce vulnerability to natural hazards. Presentations will cover risk awareness, nature-based solutions, low-impact infrastructure, and adaptive land-use planning that balance risk management with ecological integrity and community needs. Emphasis will be placed on long-term resilience, cost-effectiveness, and co-benefits such as biodiversity conservation and improved quality of life. Drawing from diverse global contexts, the session will explore how interdisciplinary approaches and participatory planning can drive sustainable adaptation and risk mitigation. Attendees will gain practical insights into implementing scalable and context-sensitive strategies that address current risks while anticipating future challenges.

Organizers: Marco Uzielli (University of Florence, Italy)

Resilience offers an evolutionary paradigm for the adaptive management of human-valued assets to anthropogenic and natural hazards including climate change. The quantitative approach to the estimation of resilience allows enhanced comprehension of the temporal trajectories of built and natural systems. However, such endeavor is inherently fraught with uncertainties stemming from the complexity of the physical environment, limitations in data acquisition and interpretation, and indetermination in the present and future states of a system. The explicit modeling of uncertainties can be pursued through non-deterministic and approaches including statistical, probabilistic, and data-driven methods such as machine learning, among others. The selection of the most suitable technique is markedly case-specific and depends on the nature of the problem at hand, as well as on the quantity and quality of available data. This session focuses on the data-driven, non-deterministic estimation of the resilience of built and environmental systems to anthropogenic and natural hazards including seismic, hydrological, hydrogeological, geotechnical, and contamination hazards among others. We welcome methodological and framework papers, theoretical contributions, and real-world case study applications which can foster interdisciplinary efforts and connect theoretical developments with tangible impact.

Organizers: Liang Feng (University of Science and Technology, China), Chao Zhou (China University of Geosciences, China), Xiaojun Wang (Univerisity of Science and Technology, China), Jim Whiteley (Atkins Réalis, The Hub, 500 Park Avenue, Bristol), Shuai Li (Chinese Academy of Sciences & Ministry of Water Conservancy, China), Ting Xiao (School of Geosciences and Info-physics, Central South University, China), Shirong Cao (Univerisity of Science and Technology, China ), Kaijian Hu (University of Science and Technology, China)

This technical session focuses on advancing methodologies, technologies, and integrated systems for assessing, monitoring, and mitigating geological hazards, including landslides, rockfall, rock bust. With the increasing frequency and intensity of geo-hazards under climate change and anthropogenic activities, robust assessment frameworks and real-time monitoring tools are critical for minimizing risks to communities and infrastructure. The session will explore cutting-edge approaches such as remote sensing (InSAR, LiDAR, micro-seismic monitoring), IoT-based sensor networks, and machine learning models for hazard early warning. Case studies highlighting successful early warning systems, risk communication strategies, and community-driven resilience initiatives will also be featured. Contributions addressing interdisciplinary collaboration, cost-effective monitoring solutions, and the integration of big data analytics into decision-making processes are encouraged. This session aims to foster knowledge exchange among geoscientists, engineers, policymakers, and stakeholders to bridge the gap between research innovation and practical implementation, ultimately enhancing global preparedness and adaptive capacity in the face of evolving geo-hazards.

Organizers: Samuele Segoni (University of Florence, Italy), Christopher Skinner (York St John University, UK), Emanuele Intrieri (University of Florence, Italy)

Although scientific research may have a deep understanding of hazardous processes and may provide fundamental contributions in addressing them, the public at large is normally poorly aware of the hazards threatening its territory, the possible consequences, and the implemented countermeasures. Filling this gap is critical to build resilience, therefore a growing number of scientists and practitioners are expanding their efforts to spread the knowledge of hazards and resilience outside the traditional academic environment. However, to engage the general public or the lower-grade students, traditional approaches are often ineffective.
This session aims to bring together different experiences regarding activities to spread the knowledge of hazards, resilience, and sustainability among a non-technical audience.
Any method different from traditional frontal lessons is welcome, with particular focus on game-based approaches, storytelling, hands-on activities, citizen science, ICT tools, and virtual reality.

Organizers: Kai Schröter (Technische Universität Braunschweig, Germany), Martin Drews (Technical University Denmark, Denmark), Stefano Bagli (GecoSistema, Italy), Chahan Kropf (ETH Zurich, Switzerland)

Coastal areas are hotspots for natural hazard risk management and adaptation to global change.
Changes in hazards, including sea level rise, storm surges, and compounding inland flooding, along with growing exposure due to socio-economic developments in coastal areas result in growing risks. Expanding settlements, commercial and industrial activities, and newly emerging critical infrastructures for energy production and hydrogen generation, along with associated industries, pose large challenges to water management, risk management and devising adaptation strategies.
This session aims to bring together experts from various backgrounds to discuss contributions to improving water and disaster risk management in conjunction with climate adaptation strategies by developing and applying innovative approaches for advancing multi-hazard, impact and risk modelling and assessment.
This session invites submissions on i) monitoring, understanding and characterizing changes in hazard and risk dynamics, ii) methods for water resources, multi-hazard and risk modelling and assessment, iii) approaches and tools to support risk management and climate change adaptation planning in coastal areas at continental, regional and local scales.

Organizers: Silvia De Angeli (Université de Lorraine, France), Marcello Arosio (IUSS Pavia, Italy), Gianrocco Mucedero (IUSS Pavia, Italy)

This session explores innovative measures for reducing multi-hazard risks, including floods, earthquakes, and heatwaves, while enhancing urban systems’ resilience at the building, neighborhood, and city scales. A focus is the cost-benefit analysis of integrated mitigation strategies, considering their economic viability, long-term performance, and return on investment across spatial and temporal scales. We encourage contributions demonstrating how interventions can simultaneously mitigate multiple hazards, minimizing trade-offs and maximizing synergies among individual risk-reduction measures. We also welcome solutions that holistically combine grey infrastructure, nature-based solutions, and hybrid systems. Moreover, the session aims to cover approaches that integrate disaster risk reduction with the Sustainable Development Goals, including considerations on energy efficiency and low-carbon design. We welcome reviews, case studies, modeling, performance assessments, and policy frameworks.
Key themes:

• Integrated multi-hazard risk mitigation strategies at the building, neighborhood, and city scale
• Municipality prioritisation frameworks for a resilient, equitable, and sustainable transition
• Buildings and infrastructure renovation: scenarios and impact assessment
• Economic evaluation, cost-benefit, and lifecycle assessments
• Integration of grey, green, and hybrid infrastructure solutions
• Integration of DRR and environmental sustainability co-benefits, such as energy efficiency and carbon reduction
• Innovative tools and frameworks for planning, investments, decision-making, and governance for multi-hazard mitigation strategies at the urban scale

Organizers: Tiago Miguel Ferreira (University of Lisbon, Portugal), Xavier Romão (University of Porto, Portugal ), Chiara Bertolin (Norwegian University of Science and Technology, Norway)

This session aims to bring together research and practice focused on risk-informed methodologies to enhance the long-term resilience of immovable and movable heritage assets, which are highly vulnerable to both natural and anthropogenic hazards. Although their effective protection presents significant technical challenges given the limited applicability of standard-based procedures and the lack of adequate guidance, their exceptional cultural and societal importance demands careful and informed intervention. To support these efforts, emphasis needs to be placed on identifying critical vulnerabilities, understanding compound hazard effects, and supporting decision-making under uncertainty.
The session aligns with the priorities of the Sendai Framework and the 2030 Agenda, and seeks contributions that bridge conservation practice, engineering analysis, emergency preparedness and risk governance. Contributions that explore emerging technologies such as artificial intelligence, structural health monitoring, UAV-based survey systems, and digital twins are particularly encouraged. Integration of diagnostic data with HBIM, GIS or cloud-based platforms is also of interest, especially for supporting real-time monitoring, intervention planning, documentation, or emergency response. Other topics include, but are not limited to, vulnerability modelling, resilience-based assessment, multi-criteria decision tools, post-disaster recovery, and case studies of applied methodologies in diverse heritage contexts. In this regard, a particularly timely area of investigation is the reanalysis of climate change scenarios and associated risks developed one or more decades ago for the near-future horizon (2021–2050). As we move deeper into the third decade of the 21st century, we now have the unique opportunity to validate or partially verify those earlier projections using recent empirical data. This retrospective analysis not only enables the refinement and calibration of predictive models but also strengthens the reliability and practical relevance of risk assessments or the performance of adaptation measures implemented in the last decade to the protection and conservation of cultural heritage.

Organizers: Tiago Miguel Ferreira (University of Lisbon, Portugal), Serena Cattari (University of Genoa, Italy ), Beatriz Zapico (University of Sevilla, Spain ), Rita Bento (University of Lisbon, Portugal)

The seismic performance of existing buildings, particularly unreinforced masonry (URM) structures in historic or dense urban areas, raises significant challenges due to construction variability, irregular geometries and interactions with adjacent units. These buildings often form aggregates shaped by incremental urban growth, resulting in non-orthogonal layouts and complex structural interdependencies that are not easily addressed using conventional modelling techniques.
Current seismic codes and assessment procedures, typically developed for isolated and code-compliant buildings, are not readily applicable to such irregular and ageing structures. This disconnect highlights the need for tailored assessment methodologies capable of accounting for incomplete documentation, heterogeneous materials and uncertain boundary conditions.
This session invites contributions proposing or exploring new approaches to address these challenges. Topics may include conceptual frameworks, modelling strategies, or computational tools aimed at the seismic assessment of large building portfolios, structural aggregates, or irregular masonry typologies. Proposals that examine building-to-building interaction or outline retrofit strategies compatible with architectural or heritage constraints, as well those integrating emerging technologies such as digital surveying, structural health monitoring, remote sensing or machine learning for damage detection or vulnerability evaluation, are particularly encouraged.

Organizers: Michalis Fragiadakis (University of Athens, Greece), Hera Yanni (University of Athens, Greece)

Signal processing is becoming a powerful tool for monitoring, data processing, input modeling, and performance assessment of civil infrastructure systems. As AI technologies evolve, machine learning methods enhance signal processing techniques, enabling to better capture complex structural behaviors. This Technical Session aims to present recent advances in signal and data processing for modeling and analyzing complex datasets obtained from civil infrastructure, with particular interest in methods capable of handling non-stationary behavior, evolving system dynamics, and various environmental influences. Special emphasis is placed on the wavelet transform and other high-resolution techniques, which enable detailed signal modeling and detection of localized events such as cracking and stiffness degradation. Contributions integrating signal processing with data-driven or hybrid approaches to improve input modeling accuracy and sensor data interpretation are encouraged. This session wishes to offer a platform for innovative applications of signal processing aimed at advancing the next generation of modeling, monitoring, and assessment tools in civil engineering for the safety and the sustainability of critical infrastructure.

Organizers: Antonio Morales-Esteban (University of Seville, Spain), Maria-Victoria Requena-Garcia-Cruz (University of Cádiz, Spain )

This session at the 4th International Conference on Resilience Multi-risk Assessment and Monitoring (ICONREM 2026) addresses the pivotal, yet often overlooked, role of soil-structure interaction (SSI) in the seismic vulnerability assessment of buildings and infrastructure. Soil-structure interaction refers to the complex, dynamic interplay between a building and the ground it sits on during an earthquake. While traditional seismic vulnerability analyses frequently assume a fixed base (effectively ignoring the influence of the underlying soil) recent research has demonstrated that this simplification can lead to significant inaccuracies, particularly for high-rise structures and those founded on soft soils.
Key Themes:
Complexity and omission in practice: SSI is inherently complex, involving nonlinear behaviours of both soils and structures and is influenced by factors such as soil stiffness, damping, foundation type and earthquake characteristics. Due to this complexity, SSI effects are often omitted from standard engineering practice and seismic codes, potentially underestimating or misrepresenting the actual seismic demands on structures.
Notable effects for high buildings and soft soils: The session will highlight research showing that SSI effects are especially pronounced for tall buildings and on soft soil sites. For these cases, the interaction can amplify or reduce seismic forces, alter response spectra and significantly affect displacement, drift and damage patterns. Studies have shown that incorporating SSI can result in an overall reduction or redistribution of structural response, but may also introduce new vulnerabilities, if not properly accounted for.
Recent advances and case studies: Presentations will cover state-of-the-art modelling techniques, including nonlinear time history and incremental dynamic analyses and their application to real-world scenarios. Case studies will illustrate how SSI modifies seismic fragility curves and performance assessments, with a focus on high-rise and irregular buildings subjected to different soil conditions and seismic inputs.
Implications for resilient design: By integrating SSI into seismic vulnerability assessments, engineers can achieve more accurate, resilient and cost-effective designs. The session will discuss how this approach contributes to the development of safer buildings and infrastructure, particularly in earthquake-prone regions with variable soil conditions.
This session is designed for researchers, practicing engineers and policymakers interested in advancing seismic risk assessment methodologies and improving the resilience of the built environment through a deeper understanding of soil-structure interaction.

Organizers: Francisco Nigro (University of Salerno, Italy), Antonella D’Alessandro (University of Perugia, Italy), Michele Fabio Granata (University of Palermo, Italy), Antonio Caggiano (University of Genova, Italy)

This session welcomes studies presenting novel intervention techniques and systems combining seismic upgrading with energy-efficient solutions concerning, yet not limited to, existing Reinforced Concrete (RC) structures, following a Life Cycle Thinking (LCT) approach.
To this end, special emphasis is placed on advanced materials and systems integrating latent-heat phase change materials (PCMs), structural insulated panel, structural thermal energy storage panel and smart systems for real-time monitoring and adaptive response.
Contributions dealing with the characterization of such innovative materials or technologies, the assessment and monitoring of the upgraded structures and, potentially, the optimal design of similar interventions are strongly encouraged.
The session aligns with the aim of the ICONREM conference, involving three traditionally distinct research fields (Physics of Materials, Building Physics and Structural Engineering) aiming to foster holistic approaches that increase community resilience and sustainability in a multi-risk context.

Organizers: Francesca Barbagallo (University of Catania, Italy), Edoardo Marino (University of Catania, Italy),

Since urban environments has been facing in recent years increasingly complex and interrelated risks, increasing urban resilience needs innovative modelling approaches and methods of analysis, which combine accuracy of results with computational efficiency, to enable the development of next generation tools and guide a risk-aware decision making in engineering practice. Particularly, the prediction of the seismic response is the key issue to bring to light vulnerabilities and strengths of structural systems and act consistently to reduce seismic risk and increase resilience against seismic events.
This topic is of paramount importance to design structural members of new buildings, with conventional structures or innovative seismic systems, and to identify and design the most appropriate seismic retrofit intervention for existing structures. Since strong seismic action generally excites structures in their nonlinear range of behavior, nonlinear numerical models and methods of analysis are required for realistic assessment. Thanks to the high computational power of modern computers, nonlinear methods of analysis could be widely adopted, however their effective and reliable application still require a comprehensive understanding of their capabilities.
This session collects contributions on the application of nonlinear modelling and analysis methods in the field of seismic engineering. Emphasis will be placed on assessing the effectiveness of these approaches in addressing challenges related to both the seismic assessment of existing structures and the seismic design of new ones.

Organizers: Roxana Ciurean (British Geological Survey, UK), Chiara Arrighi (University of Florence, Italy), Stefano Terzi (EURAC, Bolzano, Italy)

The complexity of today’s risk landscape demands models that are systemic, scalable, and grounded in real-world data. This session explores cutting-edge approaches to multi-risk modelling that integrate Earth Observation (EO) data with dynamic, spatially explicit frameworks for hazard interaction and cascading impacts. We invite contributions that address methodological challenges in representing multi-hazard risks across different spatial and temporal scales - from urban systems to transboundary regions. A core focus is on validating models across geographic contexts, ensuring their transferability beyond high-data settings, and adapting them for use in the Global South. We welcome studies employing EO for hazard detection, exposure, vulnerability mapping, and risk dynamics; tools for multi-hazard simulation; and methods for assessing systemic vulnerabilities in the built environment. Contributions exploring the integration of remote sensing with socio-economic, climate, or infrastructure datasets are highly encouraged. The session aims to foster dialogue between model developers and applied researchers, highlight novel scientific advances, and identify pathways for scaling up risk models to support regional and global resilience agendas.

Organizers: Daniela Molinari (Politecnico di Mlilano, Milano, Italy), Heidi Kreibich (GFZ, Potsdam, Germany), Massimiliano Pittore (Eurac Research, Bolzano, Italy), Benjamin Dewals (University of Liege, Belgium)

Damage assessment — or more broadly, impact modelling — is a key component of risk assessment. However, evaluating impacts in multi-hazard and multi-risk contexts remains a significant challenge, and no standard methodologies currently exist. Difficulties arise due to the systemic nature of hazards and exposed systems, particularly in cases involving compound or cascading hazards, or interconnected assets such as infrastructure or communities. To foster better understanding and forecasting of increasingly frequent and complex events, this section welcomes novel contributions in the field of impact assessment within multi-hazard and multi-risk contexts. We encourage submissions that explore the impacts on various exposed assets (e.g., the built environment, ecosystems, communities, cultural heritage) to support both long-term risk mitigation and emergency management.

Organizers: Timothy Tiggeloven (Faculty of Science, Water and Climate Risk, Amsterdam), Silvia Torresan (Centro Euro-Mediterraneo sui Cambiamenti Climatici), Michele Ronco, Kelley De Polt, Davide Ferrario

The accelerated pace of environmental change contributes to an intensified frequency and severity of interconnected hazards. Communities worldwide are facing these unprecedented challenges that demand integrated resilience strategies moving beyond traditional single-hazard approaches. This emphasizes the critical need to understand the intricate risk dynamics and create practical adaptation plans. Through improving our knowledge of these complex risk interactions and compounding effects, adaptation planning and climate resilience can be improved so that societal risks and adverse impacts can be reduced. Emerging technologies and methods such as artificial intelligence, digital twins, remote sensing, decision-support tools, and early warning systems are leading this transformation of systemic risk assessment and management. These tools offer new ways to understand multi-risk dynamics in the context of disaster risk management and climate adaptation strategies.
This session will provide a platform that explores the latest technological advancements and methodological innovations in systemic (multi-)risk assessment across various sectors and regions. We particularly encourage submissions that provide case studies or practical applications to showcase how these technologies provide valuable insights into the complexities of multi-risk dynamics, optimize decision-making, and enhance resilience-building efforts.

Organizers: Sonia Silvestri (University of Bologna, Italy), Clara Armaroli (University of Bologna, Italy)

Coastal zones, estuaries, lagoons and deltas are dynamic interfaces between land and sea, highly vulnerable to a wide range of natural and anthropogenic risks—including flooding, erosion, sea-level rise, water quality degradation, marine heat waves, algal blooms and ecosystem shifts. This session aims to explore innovative approaches that combine in situ monitoring and remote sensing technologies to support multi-risk assessment, early warning, and adaptive management in these sensitive environments.
We welcome contributions that address (but are not limited to):

• Integrated observational strategies combining field data, UAV, satellite, and airborne platforms for multi-risk assessment
• Methods for detecting and analyzing hydrological, morphological, and biogeochemical changes
• Case studies demonstrating the application of multi-sensor data to multi-risk forecasting and mitigation
• Advances in data fusion, machine learning, and modeling for coastal and estuarine systems
• Approaches for long-term monitoring and climate adaptation planning