The 6th International Conference on Crowd Science and Engineering (ICCSE’23)

Conference Venue:      Singapore

Conference Date:         July 26 – 28, 2023    August 7 – 9, 2023

Conference Website:    http://iccse2023.crowdscience.org/

Submission Website:   https://easychair.org/conferences/?conf=iccse-2023

Important Dates

  • May 31, 2023    June 11, 2023: Deadline for paper submission
  • June 20, 2023    June 30, 2023: Notification of acceptance and early-bird registration starts
  • July 10, 2023    July 15, 2023: Deadline for early-bird registration
  • July 20, 2023    July 31, 2023: Submission deadline for camera-ready version of papers
  • July 26-28, 2023    August 7-9, 2023: ICCSE’23 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. 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 and 2021, the fourth and fifth ICCSE conference were held on the beautiful city of Jinan, China. In 2023, the ICCSE’23 conference will be hosted by Nanyang Technological University, in beautiful Singapore city. In ICCSE’23, 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’23 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’23 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’23 website http://iccse2023.crowdscience.org/ for a comprehensive list of all specific topics.

ICCSE’23 solicits original work submitted as a regular paper in IJCS format (Latex Template-IJCS-2022.zip or Word template-IJCS-2022.doc). Accepted papers will appear in the International Journal of Crowd Science (URL: https://www.sciopen.com/journal/2398-7294), which is indexed and abstracted by EI Compendex, Scopus, DOAJ etc. Papers have to be submitted via https://easychair.org/conferences/?conf=iccse-2023. For any inquiries, please write to iccse@crowdscience.org.

The related fields and application areas relevant to ICCSE’23 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


We look forward to seeing you in beautiful Singapore!