Due to a scheduled transferal to the new platform in 2022, all manuscripts submitted and accepted after 21st October 2021 will be published on the new platform in 2022.

The International Journal of Crowd Science publishes peer-reviewed research on crowd science in all its forms and across disciplines in association with the National Engineering Laboratory for E-Commerce Technologies at Tsinghua University.

ISSN: 2398-7294

Aims and scope

The International Journal of Crowd Science publishes high quality research on the emerging and fast growing area of crowd science in all its forms and across disciplines. The journal aims to highlight fundamental theories of intelligent crowd behaviours in a networked society of human intelligence and artificial intelligence and to explore new ways of developing and harnessing the potential of both individual and group intelligence.

The journal welcomes theoretical, technical and applied articles that draw on contributions from multiple fields such as system and information theory, computer science, engineering, management, economics, sociology, and psychology.

The title covers but is not limited to:

Engineering models and methods for crowd science
Cloud computing and big data
Crowdsourcing
Crowd behaviours and patterns
Crowd safety and risk analysis
Human interaction
Public participation in scientific research

The editorial team welcomes new reviewers with expertise in crowd science from all areas. For anyone interested, please email your CV and key areas of expertise to the Managing Editor, Leiju Qiu, at [email protected]

The Journal is owned by National Engineering Laboratory for E-Commerce Technologies at Tsinghua University. The title is published under a platinum OA arrangement, in that all charges for publishing an OA article in the Journal are funded by National Engineering Laboratory for E-Commerce Technologies at Tsinghua University. There is no charge to the author.