Collective Intelligence & Crisis Prediction (real-time exploration)

The network in the network

How do you get ahead of stories like AIG back in September 2008?

What did the story look like before it became a story?

 

We believe in a billion brains working together on a wholistic approach - a hybrid of statistics and structural understanding will provide the transparency, efficiency and network awareness (but on cross industry scale) necessary to anticipate risks and mitigate systemic crisis.  

 

Start with a top level view of 'everything' and add more details.

We've come a long way - so far now that we invite you to challenge us with your greatest challenges.

 

Who knew when and how did the story evolve?  These are social network and information questions.

We're going to following the recent developments in Greece here on our new blog as an experiment in illustrating how a hybrid social network, analysis environment and predictive markets engine might combine to provide an early warning system in the pre-crisis noise.

 

Here are some example developing stories shared with us as of early May: