Data is always given from the past – even if only a fraction of a second into the past.
We use our (accumulated) knowledge (or memory) to convert data into information – telling us what is going on right now. Without prior knowledge, we would be unable to do this. As Dave Snowden puts it, knowledge is the means by which we create information out of data.
We then use this information to make various kinds of judgement into the future. In his book The Art of Judgment, Vickers identifies three types. We predict what will happen if we do nothing, we work out how to achieve what we want to happen, and we put these into an ethical frame.
Intelligence is about the smooth flow towards judgement, as well as effective feedback and learning back into the creation of new knowledge, or the revision/reinforcement of old knowledge.
And finally, wisdom is about maintaining a good balance between all of these elements - respecting data and knowledge without being trapped by them.
What the schema above doesn't show are the feedback and learning loops.
Dave Snowden invokes the OODA loop, but a more elaborate schema would include
many nested loops - double-loop learning and so on - which would make
the diagram a lot more complex.
And although the schema roughly indicates the relationship between the various concepts, what it doesn't show is the fuzzy boundary between the concepts. I'm really not interested in discussing the exact criteria by which the content of a document can be classified as data or information or knowledge or whatever.
Update (July 2020): I have posted an alternative schema that identifies Three Types of Data. And for an alternative view of Wisdom, see my post on Reframing (February 2009).
Note: As an alternative to the word data (données), Bernard Stiegler (2019, p7) suggests the Husserlian word retention, and associates its opposite (protention) with desire, expectation, volition, will, etc. Thus lumping data and memory together, as well as lumping together Vickers' three types of judgement.
Dave Snowden, Sense-making and Path-finding (March 2007)
Bernard Stiegler, The Age of Disruption: Technology and Madness in Computational Capitalism (English translation, Polity Press 2019)
Geoffrey Vickers, The Art of Judgment: A Study of Policy-Making (1965)
Wikipedia: Retention and Protention
Related posts: Wisdom of the Tomato (March 2011), Co-Production of Data and Knowledge (November 2012), Three Types of Data (July 2020)
No comments:
Post a Comment