Decision Support for Smart City and Digital Services Minitrack

Developing smart city and enhancing e-society services are the critical important to urbanization process for improving the effectiveness and efficiency of traditional cities. With the massive applications of Internet of things (IoT), mobile networks, and social networks, unprecedentedly large amount of various heterogeneous data can be gathered and processed in terms of advanced analytics to support smart applications and e-society services. Furthermore, decision support tools and soft computing models can be employed to speed up the whole process.

This minitrack addresses issues that focus on the applications of various decision support tools, such as big data analytics, decision analysis, and soft computing, to develop smart city applications and e-society services. We also encourage papers to report on system level research and case studies related to smart city and e-society. Topics of interest include, but are not limited to:

  • Advanced analytics for smart city planning and e-society services
  • Case study and best practices for smart cities and e-society services
  • Decision support models and tools for smart city and e-society services
  • Design and implementation of intelligent systems for smart city applications
  • Innovative applications in smart cities, such as smart finance, smart health, smart research, and smart travel
  • Novel applications in e-society services, such as information recommendation, social media analytics, and crowdsourcing applications
  • Soft computing for smart city and e-society services

Minitrack Co-Chairs:

Wei Xu (Primary Contact)
Renmin University of China

Jian Ma
City University of Hong Kong

Jianshan Sun
Hefei University of Technology

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