Optimizing Human Computation
Source: University of Washington
In this webcast, the presenter describes crowdsourcing work on two fronts. First, Crowd Algorithms, which view the crowd as data processors to design human computation versions of fundamental algorithms like sort, filter, and search, where the basic operations are done by people. Second, Declarative Crowdsourcing which views the crowd as data providers to build a database system that seamlessly combines stored relational data with data provided on the fly by people.