Information revolutions change the world by taping into a positive feedback loop. If we can identify the loops we can understand where they might be going and what their limits might be. We need to know the difference between a short-term trend and a long term dynamic. We need to know where this information might be pushing us so we can know if it is where we want to go. Trying to look at a category, as broad as information revolutions, to identify patterns requires an approach that will give a broad but well specified picture – a way to understand the positive feedback loops that create the growth and also to understand the countervailing loops that come into play in various ways. I believe that causal loop diagrams can give us a clearer picture of this kind of broad, messy problem

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Date created

• 2005 July 17-2005 July 21

Type

• Document

Processing Activity

• Processing documentation available at: https://wiki.albany.edu/display/SCA/Processing+Ingested+Digital+Files

License

• Creative Commons BY-NC-ND Attribution-NonCommercial-NoDerivs 4.0 International

  
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ITEM CONTEXT

Part of

cc5bb0ac12a5b68b26b1583548898dae

Scope and Contents

Part of

3c582e6f5cf305ef0030c7471b499022

Scope and Contents

Part of

23d738ba88f8333bc39725f9cb5bd0b8

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Collection

System Dynamic Society Records

Scope and Contents

Collecting area

• This collection is part of the University Archives