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The Wiki and the BlogNIH Wiki Fair
D. Calvin Andrus
Chief Technology OfficerCenter for Mission Innovation
Central Intelligence Agency
28 February 2007
28 February 2007 2
Battle of New Orleans
28 February 2007 3
Operation Iraqi Freedom
28 February 2007 4
Intelligence - Policy Time Compression
28 February 2007 5
Arms Race v.s. “Times” Race
• Rapid responses are required to maintain tactical and strategic advantages over those who would do the United States harm
28 February 2007 6
Rapid Turnover and Genetic Research
Family: DrosophilidaeMaturity: 14 DaysGestation: 10 DaysOffspring: 500
Family: ElephantidaeMaturity: 11 YearsGestation: 22 MonthsOffspring: 1
28 February 2007 7
Rapid Policy Turnover and Intelligence
Cold War
Global Waron Terrorism
28 February 2007 8
We Must Adapt to Change
The US National Security Community—and the Intelligence Community within it—is faced with the issue of how to operate in a security environment that, by its nature, is changing rapidly in ways we cannot predict.
A simple answer is that the Intelligence Community,
by its nature, must change rapidly in ways we
cannot predict.
28 February 2007 9
Allow Learning to Change Us
• We must transform the Intelligence Community into a community that dynamically reinvents itself by continuously learning and adapting as the national security environment changes.
28 February 2007 10
Begin Detour Here . . .
• On our way to suggesting an answer, let us
consider the ideas of those who have already
wrestled with similar issues . . .
28 February 2007 11
What do These Have in Common?
Alan Turing, 1912-1954Ant Hill
Adam Smith’s Invisible Hand
FractalsThe Butterfly Effect
General System Theory
28 February 2007 12
Complexity Theory
• They are all examples of a extremely diverse body of thought that has recently been codified as Complexity Theory.
• Complex Adaptive Behavior is a basic tenet of this theory and is characterized by:– Cooperative individual behavior– Emergence of a community– Adaptation to feedback
28 February 2007 13
Complex Adaptive Behavior
28 February 2007 14
Complexity Theory Suggests. . .
. . . that from intelligence officers who are allowed to share information and act upon it within a simple tradecraft regime will emerge an intelligence community that continuously and dynamically reinvents itself in response to the needs of the national security environment.
28 February 2007 15
Technology Can Enable
Complex Adaptive
Behavior in Human
Knowledge Workers
28 February 2007 16
One Model to Follow . . .
28 February 2007 17
Wiki Home Page
28 February 2007 25
Soggy Sweat
28 February 2007 26
Discussion
28 February 2007 27
Talk Update
28 February 2007 28
Sweat Update
28 February 2007 29
Capabilities Wikis Bring
• Because Wikis are real-time, self-authored, hyperlinked bodies of knowledge that are open to everyone on the system, they can adapt as fast as a person can enter information.
• With the addition of – knowledgebase, – search, and – feedback tools,
contributors can know--in real time--how the knowledge is received, and thus can make adjustments--in real time.
28 February 2007 30
Standing on Giants
If I have been able to see further, it was only
because I stood on the shoulders of giants.
Wikis can provide a space for our
Intelligence giants to walk . . . and for
them to stand on each other’s
shoulders in near real time.
28 February 2007 31
The Technology Stack
28 February 2007 32
Social Value of Technology
28 February 2007 33
Metcalfe and Disruption
• Robert Metcalfe, inventor of the Ethernet protocol and founder of 3Com, asserted that the value of a communication system grows as approximately the square of the number of nodes of the system.
– Andrus’s corollary is that the value of a web space (wikis and blogs) grows as the square of the number of links created in the web space.
• Once a critical mass is reached, new social, political, and economic systems start to emerge. This is what authors Downes and Mui call the Law
of Disruption. Larry Downes and Chunka Mui (1998) Unleashing the Killer App: Digital Strategies for Market Dominance. Cambridge, MA.
Harvard Business School Press.
Metcalfe's LawY = X*(X-1)
0
200,000
400,000
600,000
800,000
1,000,000
1 101 201 301 401 501 601 701 801 901 1001
Number of Nodes
Value
28 February 2007 34
Page Rank
28 February 2007 35
Critical Mass (as of 2/11/07)
28 February 2007 36
New IC Emerges Through Links
28 February 2007 37
Intellipedia
28 February 2007 38
A Space to Grow
• By deploying wikis on classified networks, and granting access to all comers, we put the Foreign Policy, Defense, National Security, and Intelligence Communities together. Knowledge and feedback is shared by all.
» Thus, changes in the National Security environment can be learned by the Intel Community, which in turn, can adapt
» From simple local interactions, a global community emerges
28 February 2007 39
Intellipedia
28 February 2007 40
Behavior Changes
28 February 2007 41
In Conclusion
• Technology is the enabler, not the solution
• The solution is changing the culture to allow intelligence
officers to share and act -- with simple rules of
engagement
• The IC/CMS must build an incentive
and reward structure for those
components that adopt this
new model of doing business
28 February 2007 42
The End
28 February 2007 43
Backup Slides Follow
28 February 2007 44
Feedback Examples
28 February 2007 45
• Two examples of self-organizing websites that allow expertise to play a deciding role are– Slashdot– Experts Exchange
For X = min to max, step For Y = min to max, step For counter = min to limit, step 1 C = X + Y Z(counter+1) = Z(counter) * Z(counter) + C If Z(counter+1) > threshold then next counter else plot X,Y with color (counter) and go to next Y If counter=limit then plot X,Y with color (black) Next YNext X
Mandelbrot Fractal AlgorithmZ(n+1) = Z(n)^2 + C, where C = X+Y