We welcome papers on topics including, but not limited to:

Mobile Data Management
- Mobile Crowd-Sourcing and Crowd-Sensing
- Mobility Simulation
- Indexing, Optimization and Query Processing for Moving Objects/Users
- Data Management for Internet of Things (IoT) and Sensor Systems
- Data Quality: Methodologies, Metrics, Algorithms
- Security and Privacy

Mobile Computing and Systems
- Theoretical Foundations of Data-intensive Mobile Computing
- Middleware and Tools for Mobile and Pervasive Computing
- Stream Processing in Mobile/Sensor Networks
- Mobile Cloud Computing and Data Management in the Mobile Cloud
- Context-Aware Computing for Intelligent Mobile Services
- Edge Computing for Mobility Data
- Mobile Recommender Systems and Location-Based Social Networks

Machine Learning and Analytics for Mobile Data
- Spatio-Temporal Analysis
- Mobility-as-a-Service (MaaS) Analytics
- Behavioral/Activity Sensing and Analytics
- Mobile Data Knowledge Representation
- Learned Indexing, Learned Query Optimisation for Mobile Data
- Visual Analytics
- Responsible AI for Mobile Data: Explainability (XAI), Privacy-Preserving AI, Ethical Use of AI, Fairness, Interpretability, Safety
- Federated Learning over Mobile Edge Data Sources

Applications and Emerging Technologies
- Connected Cars, Intelligent Transportation Systems, Smart Spaces
- Routing, Personalized Routing, Eco-Routing, Routing for Electrical Vehicles
- Transportation-As-A-Service, Mobility-As-A-Service
- Augmented Reality Systems
- Data Economy, Incentive Mechanisms, Reputation Systems, and Game-theoretic Approaches
- Connections to other Technologies (e.g., Blockchain) and Domains (e.g., Social Sciences).
- Digital Twins and Industrial Metaverses