Harris Kyriakou | Collective Innovation


Current Research Projects

Collective Innovation in Open Source Hardware

A growing community that shares digital 3D designs has created an opportunity to study, encourage and stimulate innovation. This remix community allows people not only to prototype at a minimal cost but also to work on projects they are genuinely interested in. Participants free of the limitations typically imposed by formal organizations develop products driven by their own interest.

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Idea Inheritance, Originality, and Collective Innovation

This paper presents a new method for gauging innovation, and suggests ways of further understanding the role technology plays in encouraging creativity. From an organization perspective, this work provides insights into the creative process, and in particular the open innovation process, in which thousands of individuals together evolve designs, without belonging to the same corporate structure, without claiming IP rights, without exchanging money.

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Networks of innovation in 3D printing

Innovation inside companies is difficult to see. But an emerging online community of inventors who publicly post 3D CAD drawings of their work provide a way to observe – and perhaps amplify – innovation. Our results suggest that analysis of remix network structure may provide ways of tracing innovation processes and detecting the emergence of new ideas, combination of disparate ideas.

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Twitch Plays Pokemon

We are examining the interactions between 700,000 people that collectively controlled and finished a Pokemon Red game over the course of two weeks. The players voted in favor of anarchy or democracy mode more than 4 million times.







We are examining the effect of ownership on someone’s opinion related to a product and its competitors.



We are examining the differences between online and offline friendships.


Design & Market Success

We are examining the effect of design novelty to car sales.



We are looking at how we can predict future visits and ratings of businesses listed in Yelp based on prior user behavior.