Information

Submission Deadline: June 20, 2026
Notification Date: TBA

Session Chair

Mauro Tropea, University of Calabria, Italy

Goals of the Session

This special session focuses on advanced methodologies for modeling, analysis, and simulation aimed at developing and managing effective solutions to sustainable and resilient systems. The goal is to enhance resilience while minimizing environmental impact, with particular attention to reducing energy consumption and preserving biodiversity. This session will explore innovative approaches to support sustainable food and forestry supply chains, promoting efficiency, traceability, and ecological balance. In addition, contributions addressing the production of healthier and safer food systems will be encouraged more innovative local communities. This includes the integration of emerging technologies to improve governance, resource management, and quality of life. Finally, the session will consider sustainable mobility solutions as a key component of modern communities, investigating how data-driven and simulation-based approaches can contribute to reducing emissions, optimizing transportation systems, and supporting greener urban and rural environments.

Topics of interest include, but are not limited to:

• Modeling, simulation, and decision-support tools for geo-hydrological and forest risk assessment, prevention, and mitigation.
• Energy-efficient and biodiversity-aware solutions for sustainable and resilient systems.
• Smart technologies for sustainable, traceable, and resilient food and forestry supply chains.
• Data-driven solutions for healthy, safe, and sustainable food and nutrition systems.
• Digital transformation technologies for sustainable communities, resource management, and public services.
• Modeling and optimization approaches for deep decarbonization, circular economy, and waste reuse/valorization.
• Biodiversity monitoring, conservation, and ecosystem restoration.
• Pervasive environmental monitoring through IoT, sensor networks, and distributed intelligence.
• Sustainable and resilient mobility systems for urban and rural environments.
• Digital twins for sustainable environmental, energy, mobility, and agri-food systems.
• AI and machine learning for prediction, anomaly detection, and resilience enhancement in sustainable systems.
• Data fusion and interoperable platforms for environmental intelligence and territorial monitoring.
• Modeling and analysis of resource allocation, efficiency, and sustainable trade-offs.
• Trustworthy, secure, and privacy-preserving data management for digital sustainable services.