Track Co-Chairs

Dongxiao Gu
Professor
gudongxiao@hfut.edu.cn
Hefei University of Technology

 

 

 

 

Jia Li
Professor
jiali@ecust.edu.cn
East China University of Science and Technology

 

 

 

 

Yiming Zhao
Professor
zym_0418@qq.com
Wuhan University

 

 

 

 

Associate Editors

Ying Yang
Professor
yangying@hfut.edu.cn
Hefei University of Technology

 

 

 

 

Shuping Zhao
Associate professor
zhaoshuping1753@hfut.edu.cn
Hefei University of Technology

 

 

 

 

Xiaoyu Wang
Associate Chief Pharmacist
xywang0551@163.com
The First Affiliated Hospital of Anhui University of Chinese Medicine

 

 

 

Brief Introduction

The application of new generation of information technologies represented by big data and artificial intelligence is accelerating the pace of human beings towards a smart society, making social interactions among people more frequent, and accumulating a large amount of data in cyberspace. This provides unprecedented opportunities for data science and smart social governance. Data-driven and AI-enabled behavior studies is an important foundation for realizing precise management and personalized services in the fields of medicine, healthcare, business, engineering, transportation, energy, environment, and etc. It has become one of important research fields in IS and e-commerce community and received widespread attention.

Topics

1. Data governance
2. Data openness and sharing
3. Deep learning and machine learning
4. Explainable AI
5. Active learning for service innovation
6. Intelligent recommender systems
7. E-health, digital medicine and smart health
8. Smart aging-care and service innovation
9. Predictive analytics for service innovation
10. Text mining and sentiment analysis
11. Business analytics
12. Big data processing, data management and intelligent service
13. Data mining and knowledge service
14. Data-driven social networks analysis
15. Human-computer interaction
16. Behavioral studies
17. Other issues in data science and smart social governance