"Constrained crowd judgment analysis" by Sujoy Chatterjee, Anirban Mukhopadhyay and Malay Bhattacharyya with Martin Vesely as coordinator

Leveraging the online crowd replacing limited experts has become a successful practice over the last decade for solving diverse real-life problems. Various complex problems are now being solved utilizing the power of crowd, an approach popularly termed as 'crowdsourcing'. Judgment analysis refers to a particular type of crowdsourcing task where we aggregate the opinions collected from the crowd for a purpose. We, being the rational agents, have a common interest towards knowing others' opinions before providing our own. This broadly categorizes the problem of judgment analysis into two types --- with independent and with dependent opinions. However, a new paradigm of crowd based judgment analysis has recently evolved, which can tackle the constrained opinions of crowd workers. In this article, we touch upon this novel problem of constrained crowd judgment analysis and discuss its possible dimensions of research.