The Second International Workshop on Crowd Intelligence for Smart Cities: Technology and Applications (CISC 2019)
In Conjunction with International Conference on Embedded Wireless Systems and Networks (EWSN 2019), Feb 2019, @Beijing
Cities are experiencing significant challenges in many aspects such as efficient energy management, economic growth and development, security and quality of life of their citizens. In particular, in the era of big data, mobile internet, social network, and cloud computing, we are now provided with good opportunities to leverage the crowd intelligence, i.e., cooperation of the massive individual intelligence, to better sense and manage the city. The meaning of the word “crowd” is mainly two-fold, in terms of the data collection and fusion .
From the perspective of data collection, participatory sensing (people-centric sensing/mobile crowdsensing) presents a new paradigm based on the power of mobile devices. The sheer number of user-companioned devices (e.g., mobile phones, wearable devices, smart vehicles) and their inherent mobility enables that we can acquire local knowledge (e.g., location, personal and surrounding context, noise level) through sensor-enhanced mobile devices.
From the perspective of data fusion, a variety of open datasets from multiple domains are available nowadays, from social media to public transportation, from health care to wireless communication networks. Thus, when addressing a specific problem in smart cities, multiple disparate datasets can be integrated to obtain an effective solution.
After the successful hosting of the first CISC (July, 2016, in France), the objective of the second CISC (CISC 2019, in China) is to further bring together researchers and practitioners both from academia and industries with the goal to discuss, identify and share experiences surrounding construction of smart city systems, city context analysis, its applications and deployment experiences based on the crowd intelligence. We hope that the workshop will contribute to establish a research community in the smart city research area with a focus on the crowd intelligence. The expected outcomes are:
Survey of the state-of-the-art smart city technologies based on crowd intelligence – systems, middleware and data collection/analysis method.
Sharing the knowledge and experiences of practical smart city projects/challenges, or novel and interesting ideas. This includes various crowd-based applications and use cases.
The future direction of the smart city research from the point of view of the data collection and fusion in diverse domains.
The workshop is intended to be a forum to share the experiences about smart city technologies and its applications based on crowd intelligence. The main topics of the workshop can be categorized as (but not limited to):
Smart City Big Data Collection and Analysis
Crowd Intelligence based Smart City Systems, Middleware and Framework
Crowd Intelligence based Smart City Application
Security, Trust, and Privacy Issues in Crowd Intelligence
Incentive Mechanism for Crowd Intelligence based Smart City Application
Missing Data Inference in Crowd Intelligence based Smart City Application
Optimizing Crowd Intelligence based Systems for Smart Cities
Oct 15th, 2018 (PST): Submission Deadline
Nov 15th, 2018 (PST): Acceptance Notification
Nov 30th, 2018 (PST): Camera-ready Due
February 25th, 2019: Workshop Day
Submitted papers should adhere to the EWSN submission formatting requirements and should not exceed 6 pages, including figures, tables, and references. Pages must have 8.5" x 11" (letter) two-column format, using 10-point type on 11-point leading, with a maximum text block of 7" wide x 9" deep with an inter-column spacing of .25". All submitted papers will be judged through single-blind reviewing. Please include author names and affiliations along with the title. Accepted papers are required to present at the workshop. All accepted papers will be published as part of the conference proceedings and will appear in the ACM Digital Library. Submissions will be handled through EasyChair. Please submit your papers using this link.
High-quality papers, after appropriate extensions or revisions, can be accepted by the Sensors Journal.
Jiangtao Wang, Peking University, China email@example.com
Salil Kanhere, University of New South Wales, Australia
Rong Zheng, McMaster University, Canada
Hongbo Jiang, Hunan University, China
Sajal K. Das, Missouri University of Science and Technology
Fan Wu, Shanghai Jiao Tong University, China
Jorge Goncalves, University of Melbourne, Australia
Xinglin Zhang, South China University of Technology, China
Fan Ye, Stoney Brook University, USA
Yanmin Zhu, Shanghai Jiao Tong University, China.
Jae Woong Lee, University of Central Missouri, USA
Dong Zhao, Beijing University of Posts and Telecommunications, China.
Dingqi Yang, University of Fribourg, Switzerland
Zhibo Wang, Wuhan University, China.
Yu Xiao, Aalto University, Finland
Feb. 25, 2019, Location: FIT Building, Tsinghua University
Part 1: 8:30AM~9:00AM
Keynote talk entitled “urban transfer learning” by Prof. Leye Wang from Peking University.
Part 2: 9:00AM~ 11:00AM
Paper presentation (each paper: 20 minutes presentation + 10 minutes Q&A. 10:00~10:30 will be the coffee break)
a) Jumin Zhao, Ruijuan Yan, Dengao Li, Biaokai Zhu and Haizhu Yang. Commodity Quantity Monitoring Estimation Algorithm in Large-scale RFID Systems
b) Linshan Jiang, Xin Lou, Rui Tan and Jun Zhao. Differentially Private Collaborative Learning for the IoT Edge
c) Zhihan Jiang, Jiangtao Wang, Yasha Wang and Longbiao Chen. Data-Driven Bike Sharing System Optimization: State of the Art and Future Opportunities