banner

What is Collective Intelligence?

Collective intelligence is the capacity of human communities to evolve towards higher order complexity and harmony, through such innovation mechanisms as variation-feedback-selection, differentiation-integration-transformation, and competition-cooperation-coopetition

(Un)subscribe

Enter your email address and select the appropriate button below to receive email notifications of updates to this site or remove yourself from the list
Subscribe Unsubscribe

Subscribe

Via our RSS feed:
rss

February 25, 2012

Collective Intelligence conference at MIT, April 18-20, 2012

The conference description is presented here.

Presentations

Visualizing collective discursive user interactions in online life science communities
Dhiraj Murthy, Alexander Gross, and Stephanie Bond

Group foraging in dynamic environments
Michael E. Roberts, Sam Cheesman, and Patrick McMullen

Markerless motion capture in the crowd
Ian Spiro, Thomas Huston, and Christoph Bregler

Tracking the 2011 student-led movement in chile through social media use
M. Barahona, C. García, P. Gloor, and P. Parraguez

Effects of social influence on the wisdom of crowds
Pavlin Mavrodiev, Claudio J. Tessone, and Frank Schweitzer

Learning to predict the wisdom of crowds
Seyda Ertekin, Haym Hirsh, and Cynthia Rudin

What "crowdsourcing" obscures: exposing the dynamics of connected crowd work during disaster
Kate Starbird

Collaborative development in Wikipedia
Gerald C. Kane and Sam Ransbotham

Crowdsourcing Gaze Data Collection
Dmitry Rudoy, Dan B Goldman, Eli Shechtman, and Lihi Zelnik-Manor

Analytic methods for optimizing realtime crowdsourcing
Michael Bernstein, David R. Karger, Robert C. Miller, and Joel R. Brandt

Crowd & Prejudice
Nicolas Della Penna and Mark D. Reid

Re-differentiation as collective intelligence: the ktunaxa language online community
Christopher Horsethief

When majority voting fails: comparing quality assurance methods for noisy human computation environment
Yu-An Sun and Christopher Dance

An existing, ecologically-successful genus of collectively intelligent artificial creatures
Benjamin Kuipers

Toward a comparative cognitive history: Archimedes and D. H. J. Polymath
Lav R. Varshney

Collective intelligence in humans: a literature review
Juho Salminen

Thermodynamic principles in social collaborations
Huan-Kai Peng, Ying Zhang, Peter Pirolli, and Tad Hogg

Crowdsourcing collective emotional intelligence
Rob Morris and Rosalind Picard


Continue reading "Collective Intelligence conference at MIT, April 18-20, 2012" »

Category: Academic Research in CI
Posted by George Pór at 11:35 AM |

April 17, 2011

a measure and a condition for the metabeing to truly become intelligent


introducing_miemis.jpg

Venessa Miemis wrote:

> all semantically linked, so for example, it could be built so that it showed all organizations, and then listed specific projects they are working on or in support of or things they are associated with.

> providing a snapshot overview of the entire ecosystem, and making it very easy for projects and people to become aware of one another and share data instead of duplicating it over and over.

In a similar vein, I wrote about some steps towards crowdsourcing the mapping of the movements & tribes that model the social practices of a positive future here. 

The particular possibility that has been attracting my attention the most is to increase the self-awareness of all fields of transformation and to create/cultivate an emergent platform that can act as a rocket booster for our collective intelligence and wisdom.

> The thing i'm envisioning would be a lot of work to set up, but then it would be intelligent… if these values were defined, they could then be entered into this database, and it would show you the 9 projects that were related/similar/identical.

The thing that Venessa is envisioning is the thing that any self-organizing global-scale collective intelligence need if it is to be holoptical. 

> If there was more granular information about all of this, and it was openly available and easy to navigate, we'd have a much more effective method of allocating resources to efforts that will go furthest.

Envisioning and prototyping “more effective method of allocating resources to efforts that will go furthest” is both a measure and a condition for the metabeing to truly become intelligent. Nothing less will keep us from becoming an aborted evolutionary experience.

If so, then need to shift, sooner or later our scaffolding environment from The Next Net Google Group to, at least, a Drupal-like content management system/framework. The sooner would be better because the conversation is already richer than what this tool can do justice to.

Category: Collaborative Sense-Making ; Evolutionary Movement ; Movement Cartography
Posted by George Pór at 1:53 PM |

March 7, 2011

Howard Rheingold interviews Pierre Lévy on collective intelligence

Category:
Posted by George Pór at 3:18 AM |

Search


Categories

Recent Posts

Subscribe to this blog's feed
[What is this?]
Creative Commons License
This weblog is licensed under a Creative Commons License.
Powered by
Movable Type 4.31-en