CrowdSolve

Abstract

Investigators in fields such as journalism and law enforcement have long sought the public's help with investigations. New technologies have also allowed amateur sleuths to lead their own crowdsourced investigations - that have traditionally only been the purview of expert investigators - with mixed results. Through an ethnographic study of a four-day, co-located event with over 250 attendees, we examine the human infrastructure responsible for enabling the success of an expert-led crowdsourced investigation. We find that the experts enabled attendees to generate useful leads; the attendees formed a community around the event; and the victims' families felt supported. Additionally, the co-located setting, legal structures, and emergent social norms impacted collaborative work practice. We also surface three important tensions to consider in future investigations and provide design recommendations to manage these tensions.

Comprehensive decision-making model of crowdsourcing operation and maintenance of charging stations based on computer aided technology

“…Crowdsourcing mode refers to the mode that enterprises outsource the work tasks performed by employees in the past to non-specific, large-scale public networks. The crowdsourcing mode is combined with the logistics distribution industry to form a crowdsourcing distribution mode, which can make full use of social idle transportation resources and better solve the problem of intra city distribution [6][7].…”