Fusebox EPFL

How could we use machine learning in CrowdSourcing/Crowdfunding?

Basically, machine learning is a subfield of computer science that evolved from the study of pattern recognition and computational learning theory in artificial intelligence. Nowadays, machine learning is used everywhere in most of the businesses. Google knows better than you what you want, and Amazon knows what you will buy for Christmas for your mother. 

But how could we use it in order to create more relevant crowds or communities? My idea is using this tool to choose the "ideal" crowds for a topic of crowdsourcing or crowd funding. What if there was a perfect composition of people that could generate the maximum of relevant ideas? Machine Learning could create algorithms mixing good amounts of heterogeneity/homogeneity of the crowds in order to raise the best ideas from the right people.

Think about it!

Prisca Morand Nov 28, 2015

This is a very interesting idea!
The problem might be, then, after creating the "ideal" crowd, there must be a certain kind of restricted access to the crowdsourcing or crowdfunding topic for only the people selected by the algorithm...
This would be a very interesting subject to discuss during the final lesson, I agree.

Mateo Dugand Nov 28, 2015

Thank you Prisca! Yes, in some sense we should have to find a way to keep it OPEN because it is the core of this concept. But still, it could be the first step to find the crowd you want to involve in priority by creating your platform in some country or in some specific areas. Thank you for your feedback Prisca!

Prisca Morand Nov 28, 2015

Thank you for your answer. Indeed, I think Machine Learning algorithms can be a very good tool to know how and where to implement the crowdsourcing/crowdfunding platform.