The 27th edition of the International Conference on Mobile Data Management is glad to host workshops on trending and complementary topics.

The 1st Workshop on Multi-Sensor Trajectory Knowledge Discovery and Extraction (MuseKDE)

The rapid proliferation of tracking sensors, ranging from self-reporting systems to GPS, cameras, radars, and Earth observation, has led to unprecedented volumes of mobility data. However, these datasets are often fragmented, incomplete, and underutilized. Particularly, urban mobility and maritime surveillance generate massive, multi-modal datasets requiring advanced analytics. Subsequent Knowledge Discovery and Extraction (KDE) hinges entirely on the quality and integrity of the underlying trajectories, demanding innovative preprocessing and fusion methods. Therefore, developing robust, quality-aware analytical pipelines is paramount for generating trustworthy insights from such data streams. These advancements are crucial for applications such as sustainable urban planning and maritime situational awareness, which are vital components for achieving climate-neutral cities and effective ocean protection.

The 2nd Workshop on Distributed Computing Systems for Smart Logistics (DCSSL)

Distributed Computing Systems (DCS) have emerged as pivotal tools for effective management in logistics operations. The logistics industry is increasingly dependent on intelligent systems and communications to manage and optimize real time processes such as transportation scheduling, inventory tracking, and real-time shipment monitoring. As the logistics sector becomes more complex and demands for efficiency increase, the role of intelligent & distributed computing as well as smart communications in managing these challenges has grown significantly. This workshop: (1) is timely given the ongoing advancements in smart logistics and their potential to transform logistics management, making it more efficient, secure, and resilient, (2) aims to explore innovative applications and advancements in the integration of efficient communications/networks, distributed and intelligent systems within logistics operations; and (3) will cover the latest research and applications of distributed computing, communications and mobile networks in addressing the complex and dynamic nature of logistics event management.

The 1st Workshop on Secure and Intelligent Data Spaces(SIDS)

SIDS 2026 is the first international workshop focusing on secure and intelligent Data Spaces, addressing challenges across data management, AI, security, and governance in distributed and federated environments. This workshop aims to bring together researchers and practitioners from mobile data management, artificial intelligence, cybersecurity, and smart city systems to explore novel approaches, architectures, and methodologies for building secure, trustworthy, and intelligent Data Spaces.

The 1st Workshop on Digital Twins and Physical AI for Smart Mobility Systems (DigiTwinsAI)

Smart mobility solutions are increasingly driven by AI and continuous interaction with the physical world. From autonomous vehicles and industrial transport, and logistics, to military drones and earth observation systems, next-generation solutions require tight integration between Digital Twins, Physical (dependency-aware) AI, and related platforms that combine these in a highly productive and cost-effective manner. Digital Twins digitally represent complex physical entities, such as sophisticated machines, supplies, products and people involved. Physical AI enables learning and intelligence grounded in physical dynamics, spatial context, and real-world constraints. Together, they form a closed-loop cyber-physical paradigm that critically depends on robust, scalable, and trustworthy data management to support the emerging needs of mission-critical applications in areas such as smart factories, cities, transportation and health. The workshop aims to bring together researchers and practitioners from data management, artificial intelligence, robotics, and cyber-physical systems to explore foundations, systems, and applications towards smart mobility systems.

1st Workshop on Spatio-Temoral Data and Foundation Models (STxFM)

As urban environments worldwide become increasingly interconnected and data-rich, it is crucial to explore the implications of integrating advanced artificial intelligence with complex physical-world data. This workshop aims to delve into the profound influence of Large Language Models (LLMs), and more generally, foundations models, the structure and dynamics of the spatio-temporal ecosystem. Specifically, we aim to foster research on the interplay between foundation models and critical urban elements, including points of interest (POIs), human mobility flows and trajectories, road network structures, and urban regions. By bringing together experts from natural language processing (NLP), data mining, and spatio-temporal database management, the workshop provides a platform to discuss ideas, review past work, and explore new directions.