ICCSE’17 – Smart and Crowd: Building City of Wisdom



Conference Venue:      Tsinghua University, Beijing, China

Conference Date:         July 6-9, 2017

Conference Website:    http://iccse2017.crowdscience.org/

Submission Website:    https://easychair.org/conferences/?conf=iccse2017



•          April 1, 2017: Deadline for paper submission

•          May 1, 2017: Notification of acceptance and early-bird registration starts

•          May 15, 2017: Deadline for early-bird registration

•          May 15, 2017: Submission deadline for the camera-ready version of papers

•          July 6-9, 2017: ICCSE’17 conference


Crowd Science refers to the science that underlies online crowd-powered ecosystems. It focuses on the design and analysis of information processing systems in which humans participate to contribute their intelligence, effort, time and/or resources.

In 2016, the first International Conference on Crowd Science and Engineering (ICCSE) was held on the beautiful campus of The University of British Columbia, Vancouver, Canada. This conference received 100 paper submissions from 12 countries. Among the 100 submissions, 27 papers have been selected as full papers to be presented at the conference. ICCSE’16 offered great opportunities for delegates to interact and connect at daily luncheons, morning and afternoon coffee breaks, and a conference banquet on July 28, 2016.

In 2017, ICCSE will take place from 6 to 9 July 2017 at Tsinghua University, Beijing, China. In this conference, academics, industry practitioners and policy makers will gather to explore the transformative potential of crowd science research and how to engineer efficient systems that combine the respective strengths of humans and machines to open up new possibilities.

ICCSE’17 now invites you to participate and contribute to this international forum for the dissemination and exchange of up-to-date scientific information on theoretical and applied areas of CSE, through the following modes of communication: Plenary/Keynote Presentation, Technical Sessions and Demo/Poster Sessions.

The related fields and application areas relevant to ICCSE’17 include, but are not limited to:  


•          Models and methods for Crowd Science and Engineering

•          Trust and incentives

•          The cloud and the crowd

•          Crowdsourcing

•          Mental model

•          AI (learning, reasoning and knowledge)

•          Big Data


•          Crowd sensing

•          Internet of Things

•          Intelligent sensing

•          Online sensing

•          Mobile sensing

•          Social sensing

•          Citizen sensing

•          Ubiquitous sensing

•          Smart city


•          Mobile context

•          Social context

•          Opportunity context

•          Trajectory context

•          Unobtrusive context

•          Context-aware algorithm

•          Context-aware representation

•          Context-aware reasoning

•          Context-aware recommendation

•          Machine learning for context awareness


•          Cognition based decision making

•          Online learning

•          Deep learning

•          Transfer learning

•          Temporal cognition

•          Perception

•          Attention

•          Memory

•          Affect, Behaviour and cognition

•          Analytics


•          Crowd AI

•          Crowd behaviour

•          Brain-computer interface

•          Harnessing the crowd in human-computer interaction

•          Crowdsourcing human-robot interaction

•          Human computation

•          Crowd mobilization

•          Crowd visualization

•          Emotion and personality


•          Tools and platforms to support Crowd Science and Engineering

•          Crowd-sourced design and engineering

•          Massive Open Online Courses (MOOCs)

•          Citizen science

•          Digital sharing economy

•          Crowdfunding

•          Crowdsourcing well-being

•          Productive aging and e-healthcare

•          Gamification

•          Crowdsourcing in e-government

•          Industrial crowdsourcing


Accepted papers will appear in the ICCSE’17 proceedings. Technical research papers can be 6 - 8 pages long in IEEE format. Vision, Demo and Poster papers can be up to 4 pages long in IEEE format. The authors of a selected number of top quality papers will be invited to extend their papers for further review and possible publication in special issues of the International Journal of Crowd Science and IEEE journals (such as IEEE Access, IEEE Internet of Things Journal, IEEE Transactions on Big Data etc.).

ICCSE’17 will be jointly organized with three other conferences: The 2017 International Conference on Agents (ICA’17), the 2017 International Conference on Ageless Aging (ICAA’17), and the 2017 International Conference on Wearable Healthy (ICWH’17).


We look forward to seeing you in beautiful Beijing!



•          Rabab Ward, The University of British Columbia, Canada

•          Victor Lesser, University of Massachusetts Amherst, USA

•          Cyril Leung, The University of British Columbia, Canada

•          Qiang Yang, Hong Kong University of Science and Technology, Hong Kong

•          Chengqi Zhang, University of Technology Sydney, Australia



General Chairs

•          Yueting Chai, Tsinghua University, China

•          Takayuki Ito, Nagoya Institute of Technology, Japan


Programme Committee (PC) Chairs

•          Yiqiang Chen, University of Chinese Academy of Sciences, China

•          Jane Wang, The University of British Columbia, Canada


PC Vice-Chairs

•          Minjie Zhang, University of Wollongong, Australia

•          Quan Bai, Auckland University of Technology, New Zealand

•          Dong Xu, University of Sydney, Australia


Local Chairs

•          Anting Zhang, Tsinghua University, China

•          Lizhen Cui, Shandong University, China

•          Jun Lin, Nanyang Technological University, Singapore


Finance Chairs

•          Baowen Sun, Central University of Finance and Economics, China

•          Liang Zhang, Nanyang Technological University, Singapore


Tutorial/ Workshop / Demo/Special Track/Poster Chairs

•          Zhiqi Shen, Nanyang Technological University, Singapore

•          Di Wang, Nanyang Technological University, Singapore

•          Han Yu, Nanyang Technological University, Singapore

•          Simon Fauvel, The University of British Columbia, Canada


Publicity Chairs

•          Minting Huang, Nanyang Technological University, Singapore

•          Jianping Shen, Tsinghua University, China


Publication Chair

•          Leiju Qiu, Central University of Finance and Economics, China


Awards Committee Chairs

•          Xiaoming Li, Peking University, China

•          Chunyan Miao, Nanyang Technological University, Singapore

•          Yonggang Wen, Nanyang Technological University, Singapore