Crowdsourcing enables one to leverage on the intelligence and wisdom of potentially large
groups of individuals toward solving problems. Common problems approached with …

Spatial crowdsourcing (SC) is an emerging paradigm of crowdsourcing, which commits
workers to move to some particular locations to perform spatio-temporal-relevant tasks (eg …

Social media is an invaluable source of time-critical information during a crisis. However,
emergency response and humanitarian relief organizations that would like to use this …

Task allocation is a fundamental research issue in mobile crowd sensing. While earlier
research focused mainly on single tasks, recent studies have started to investigate multi-task …

Since Jeff Howe introduced the term Crowdsourcing in 2006, this human-powered problem-
solving paradigm has gained a lot of attention and has been a hot research topic in the field …

Task allocation is a major challenge in Mobile Crowd Sensing (MCS). While previous task
allocation approaches follow either the opportunistic or participatory mode, this paper …

Estimating proper participants is an important way to ensure the quality of tasks' outcomes in
knowledge-intensive crowdsourcing (KI-C). The choice of a proper participant is a complex …

Crowdsourcing is a new computing paradigm that harnesses human effort to solve computer-
hard problems, such as entity resolution and photo tagging. The crowd (or workers) have …

Educational platforms are increasingly becoming AI-driven. Besides providing a wide range
of course filtering options, personalized recommendations of learning material and teachers …

Besides the simple human intelligence tasks such as image labeling, crowdsourcing
platforms propose more and more tasks that require very specific skills, especially in …