[P2P-F] Fwd: “Harnessing Crowds: Mapping the Genome of Collective Intelligence“

[Michel Bauwens]

http://cci.mit.edu/publications/CCIwp2009-01.pdf

---------- Forwarded message ----------
From: Dante-Gabryell Monson <dante.monson at gmail.com>
Date: Tue, Aug 16, 2011 at 7:43 AM
Subject: “Harnessing Crowds: Mapping the Genome of Collective Intelligence“
To: econowmix at googlegroups.com


http://news.noahraford.com/?p=695
*large copied excerpts :*

The MIT Center for Collective Intelligence <http://cci.mit.edu/> recently
published an important overview of the theory and mechanisms behind
successful crowdsourcing efforts.  Their report, called “Harnessing Crowds:
Mapping the Genome of Collective
Intelligence<http://sloanreview.mit.edu/the-magazine/articles/2010/spring/51303/the-collective-intelligence-genome/>“,
can be found here <http://cci.mit.edu/publications/CCIwp2009-01.pdf>.

( http://cci.mit.edu/publications/CCIwp2009-01.pdf )

...

According to the Center for Collective Intelligence, a good collective
intelligence platform (CI) must address the following themes:

**

   1. *Goals*, referring to the desired outcome;
   2. *Incentives*, referring to the motivational factors;
   3. *Structure/process*, referring to the business model and
   organizational structure to complete the task; and
   4. *Staffing*, referring to the people required to support the business
   model and sustainability of CI within the organization.

These four themes then translate into the following four questions:

   1. *What is to be accomplished?*
   2. *Why* should anyone help out?
   3. *How* are they meant to contribute?
   4. *Who* will perform the necessary work?

*Figure 1*, below, illustrates how these four themes and questions interact
to form the building blocks of any collective intelligence system.
 <http://news.noahraford.com/wp-content/uploads/2010/08/Picture-1.png>

Figure 1, the basic building blocks of a CI system
*Developing a detailed decision tree*

**This approach then asks a series of sequential, logical questions, the
answers of which form specific guidelines for all CI systems:

   1. Can activities be divided into pieces? Are necessary resources widely
   distributed or in unknown locations?
   2. Are there adequate incentives to participate?
   3. What kind of activity needs to be done?
   4. Can the activity be divided into small, independent pieces?
   5. Are only a few good (best) solutions needed?
   6. Does the entire group need to abide by the same decision?
   7. Are money or resources required to exchange hands or motivate
   decision?

The answer to these questions comes in the form of specific “genetic”
building blocks, such as the “Create” gene, the “Crowd” gene, or the
“Decide” gene.  The paper concludes with a detailed table listing these
genes and how they interact with the questions above.

In my own work developing online scenario planning
systems<http://news.noahraford.com/?p=462>,
I have found it useful to translate these questions into a flowchart that
can be used to help navigate this process.  This chart is presented in *Figure
2*, below, which presents each of these questions and possible answers in
the form of a decision tree (full PDF by clicking on the image or
downloading here <http://www.noahraford.com/files/CI_flowchart_raford.pdf>).
 <http://www.noahraford.com/files/CI_flowchart_raford.pdf>

Figure 2, a flowchart for the design of any CI system




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