The 5th International Conference on Crowd Science and Engineering (ICCSE 2021) 

Conference Venue: Jinan City, Shandong Province, China

Conference Date: 16-18 October 2021

Conference Website: http://iccse2021.crowdscience.org

Submission Website: https://easychair.org/conferences/?conf=iccse20210  

Important Dates:

  •  15 Aug 2021 31 Aug 2021: Paper submission deadline
  •  10 Sep 2021: Paper acceptance notification
  •  30 Sep 2021: Registration deadline
  •  30 Sep 2021: Camera-ready submission deadline
  •  16-18 Oct 2021: ICCSE’21 conference

Scope and Introduction:

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. In 2017, the second ICCSE conference was held on the beautiful campus of Tsinghua University, Beijing, China. In 2018, the third ICCSE conference was held on the beautiful campus of Nanyang Technological University, Singapore. In 2019, the forth ICCSE conference was held on the beautiful city of Jinan, China. In 2021, the ICCSE’21 conference will also be hosted by Shandong University, in beautiful Jinan city. In ICCSE’21, researchers, 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’21 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 crowd science and engineering. The related fields and application areas relevant to ICCSE’21 include, but are not limited to theory in crowd science, sensing technologies, context awareness and retrieval, interactions in crowd science, and practices of crowd science technologies. Please refer to ICCSE’21 website http://iccse2021.crowdscience.org/ for a comprehensive list of all specific topics.

The ICCSE’17 – 19 Proceedings have been published in ACM Digital Library. Therefore, all papers included in ICCSE’17 – 19 Proceedings are EI Indexed and CPCI-S Indexed. The ICCSE’21 organizing committee shall continue to put up the request to ACM for the inclusion of the ICCSE’21 Proceedings in ACM Digital Library. If such request is approved by ACM, all papers included in the ICCSE’21 Proceedings will also be EI Indexed and CPCI-S Indexed.

ICCSE’21 solicits original work submitted as a regular paper of up to 8 pages (inclusive of references) in ACM format (URL: https://www.acm.org/publications/proceedings-template). Accepted papers will appear in the ICCSE’21 Proceedings. The authors of a selected number of top quality papers will be invited to extend their papers for further review and possible publication in International Journal of Crowd Science or special issues of other reputable journals. Papers have to be submitted via EasyChair: https://easychair.org/conferences/?conf=iccse20210. For any inquiries, please write to iccse2021@crowdscience.org.

The related fields and application areas relevant to ICCSE’21 include, but are not limited to:

Theory:
• 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		Sensing:
• Crowd sensing
• Internet of Things
• Intelligent sensing
• Online sensing
• Mobile sensing
• Social sensing
• Citizen sensing
• Ubiquitous sensing
• Smart city
Context:
• 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:
• Cognition based decision making
• Online learning
• Deep learning
• Transfer learning
• Temporal cognition
• Perception
• Attention
• Memory
• Affect, Behaviour and cognition
• Analytics
Interaction:
• 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		Practice:
• 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