Ever since I first saw Metropolis 60 years ago as a schoolboy in the truncated form that for so long was the only one available, I have been entranced by its boldness, imagination and vision and its readiness to combine high intelligence with crowd-pleasing melodrama.
A folksonomy aggregates the results of personal free tagging of information and objects to form a categorization structure that applies utilizes the collective intelligence of crowds.
Previously, we have seen that analytics can be performed through exploiting three sources of intelligence: humans, crowds of humans, and machines (that are either programmed by humans or learn from data).
In order to judge the adequateness of the measurement instruments, it is also necessary to reflect upon the fundamental workings of crowd intelligence, as crowd intelligence is not just intelligence of a large group.
The fundamental idea of the wisdom of crowds is that the collective intelligence of a crowd will converge on a solution, which is better than that of any one individual.
The design challenge for crowdsourcing researchers is to come up with a useful job that lends itself to human computation, and then figure out how to put the crowd intelligence to good use, and do it, crucially, in a timely fashion.
In this approach, the collective intelligence of the crowd is not utilized for creating innovative ideas.
One of the most important aspects of crowdfunding as a sub-domain of crowdsourcing is the utilization of the collective intelligence of the crowd.
The combination of specific fields of expertise and crowd intelligence is the potential that we seek to emphasize for the future design of Foresight processes.
