Crowdsourcing in pathology has been performed on tasks that are assumed to be
manageable by nonexperts. Demand remains high for annotations of more complex …

Spontaneous volunteers are a critical and often overlooked resource during disaster
response. Frameworks that do consider spontaneous volunteers often rely on the use of a …

This article addresses one of the key challenges of engaging a massive ad hoc crowd by
providing sustainable incentives. The incentive model is based on a context-aware cyber …

In recent years, mobile crowdsensing has emerged as a key technology for digital city
construction, which acquires sensing data and mining data values with low cost and high …

We study task composition in crowdsourcing and the effect of personalization and diversity
on performance. A central process in crowdsourcing is task assignment, the mechanism …

Crowdsource software development has become more and more popular in recent years in
the software industry. Crowdsourcing is an open‐call technique for outsourcing tasks to a …

Abstract Machine learning algorithms are increasingly used to assist human decision-
making. When the goal of machine assistance is to improve the accuracy of human …

Schema matching is a central challenge for data integration systems. Inspired by the
popularity and the success of crowdsourcing platforms, we explore the use of crowdsourcing …

Despite the increasing popularity and successful examples of crowdsourcing, it is stripped of
aureole when collective efforts are derailed or severely hindered by elaborate sabotage. A …

City express delivery services (aka last-mile delivery) have become more prominent in
recent years. Many logistics giants, such as Amazon, JD, and Cainiao, have deployed …