Crowd Science: Measurements, Models, and Methods

Abstract

The increasing practice of engaging crowds, where organizations use IT to connect with dispersed individuals for explicit resource creation purposes, has precipitated the need to measure the precise processes and benefits of these activities over myriad different implementations. In this work, we seek to address these salient and non-trivial considerations by laying a foundation of theory, measures, and research methods that allow us to test crowdengagement efficacy across organizations, industries, technologies, and geographies. To do so, we anchor ourselves in the Theory of Crowd Capital, a generalizable framework for studying IT-mediated crowd-engagement phenomena, and put forth an empirical apparatus of testable measures and generalizable methods to begin to unify the field of crowd science.

Is Quality Control Pointless?

“…Quality control within crowdsourcing platforms appears in many ways, quality being one of the attributes of the crowd [18] [3]. Quality control is not only of interest to corporations and business: creative endeavours [14], policy and budget deliberations [15]- [17], open collaboration platforms [19], and the broader (scientific) community [4] stand to benefit as well.…”

Innovative architectural design development: the Arcbazar creative crowdsourcing contests perspective

“…As highlighted by Pripic at.al., most recently research on crowdsourcing considers that there are three types of crowdsourcing applications that can be used by organizations: virtual labor markets, tournamentcrowdsourcing, and open collaboration [5]. Each of these types can be compared along the following universal characteristics: the cost of using a crowdsourcing technique, the anonymity of crowdsourcing participants, the scale of crowd size, the IT structure of crowdsourcing application, the time required to implement crowdsourcing, the magnitude of crowdsourcing tasks, and the reliability of the crowdsourcing technique.…”

Crowdsourcing benefits in postgraduate project supervision: Sefako Makgatho Health Sciences University statistics and computer science case study

“…The main purpose for using crowdsourcing is to engage a group for a common goal, such as innovation, problem solving and efficiency. Prpić and Shukla (2016) infer that most frequently mentioned motives of users, participating in crowdsourcing, are money, philanthropy, fun, reputation, attention, and knowledge. Both intrinsic and extrinsic motivations influence decisions to participate in crowdsourcing.…”