When considering any crowdsourcing initiative, it is convenient to have a framework that allows us to model those initiatives. Game theory, as a tool that allows modeling interactions between different individuals, is a very appropriate solution for this purpose.
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How to improve the quality of the results of a crowdsourcing initiative
When carrying out a crowdsourcing initiative, the preparations, the control during the initiative and the review of the results are fundamental activities to assure a good final result. In this post I comment some actions that can be taken to improve the quality of the final result.
Using Collective Intelligence in the fight against crime (I)
Collective Intelligence can be used in many areas in different ways: analyzing or generating new information, solving problems, etc. Also in the fight against crime Collective Intelligence and crowdsourcing can be a valuable resource.
Making the same mistakes
In situations where innocent victims appear, collective intelligence arises in a much more spontaneous way and without the need for rewards. However, and more in some of these events, we must beware of the consequences of this collective intelligence.
Using crowdsourcing to teach machines?
Moral dilemmas are situations in which there is no “good choice”: any decision you take will imply a damage for someone (that’s the dilemma). To get a generalized view of how the crowd believes that an autonomous car should behave, the MIT created the crowdsourcing initiative “Moral Machine”.
New crowdsourcing types?
Not only crowdfunding evolves, but also crowdsourcing in general. There are authors who affirm that there are 3 types of different crowdsourcing: direct, collaborative and passive. In this post I briefly outline what I believe has been the evolution of crowdsourcing (at conceptual level) and analyze each of the types proposed by these authors, giving my opinion about it.