  New techniques leveraging IT-mediated crowds such as Crowdsensing, Situated
Crowdsourcing, Spatial Crowdsourcing, and Wearables Crowdsourcing have now
materially emerged. These techniques, here termed next generation
Crowdsourcing, serve to extend Crowdsourcing efforts beyond the heretofore
dominant desktop computing paradigm. Employing new configurations of hardware,
software, and people, these techniques represent new forms of organization for
IT-mediated crowds. However, it is not known how these new techniques change
the processes and outcomes of IT-mediated crowds for Collective Intelligence
purposes? The aim of this exploratory work is to begin to answer this question.
The work ensues by outlining the relevant findings of the first generation
Crowdsourcing paradigm, before reviewing the emerging literature pertaining to
the new generation of Crowdsourcing techniques. Premised on this review, a
collectively exhaustive and mutually exclusive typology is formed, organizing
the next generation Crowdsourcing techniques along two salient dimensions
common to all first generation Crowdsourcing techniques. As a result, this work
situates the next generation Crowdsourcing techniques within the extant
Crowdsourcing literature, and identifies new research avenues stemming directly
from the analysis.
