◕ I. Data Science Foundations

Data Modeling

Data Mining

Machine Learning

Deep Learning

Statistical Methods

Data Quality

Data Integration

Large-scale Data Processing

Data Visualization

◕ II. Social Computing Theory and Methods

Social network analysis and evolution

Swarm intelligence and multi-agent systems

User behavior and emotion computing

Social media dissemination and event detection

Social attitudes and cultural modeling

Online collaboration and crowdsourcing

◕ III. Digital Society

Digital manufacturing

Digital economy

Digital management

Digital learning

Digital communication

Digital transportation

Digital community

Digital governance

Digital agriculture and water management

Digital healthcare

Digital infrastructure

◕ IV. Cross-Integration Technologies and Systems

Integration of social networks and machine learning

Multi-modal data fusion

Adaptive social system algorithms

Intelligent recommendation and personalized services

Fake news detection and intervention

Social influence and dissemination prediction

Efficient social computing systems

◕ V. Intelligent Transportation and Urban Management

Intelligent transportation systems

Autonomous driving and vehicular networks

Urban traffic congestion optimization

Intelligent public transportation scheduling

AI applications in urban planning

Urban risk management and intelligent early warning

Data-driven urban governance

Urban logistics and distribution optimization

◕ VI. Application Practices

Smart cities and public services

Social analysis in healthcare

Intelligent educational learning systems

E-commerce user analysis and marketing

Financial risk control and fraud detection

Ethics, privacy, and fairness

Large-scale system deployment