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Seminar 12
Graphesis, PowerPoint, and Visual
Literacy
Introduction to the Digital Liberal Arts
MDST 3703 / 7703
Fall 2010
Business
• Most quizzes graded—definitely by studio
• Apologies for the response questions …
Review
• Timeline pops out in the category view in
Carrington theme
• If you are still having problems, share your
spreadsheet with me (Gmail name =
ontoligent)
• If you have events, you could use one!
Overview
• From visualization to visual literacy
– To “establish a critical frame for understanding
visualization as a primary mode of knowledge
production” (Drucker)
• PowerPoint as an entrée into this topic
– We know PowerPoint is a problem; we want to know
why
• Key Question
– What do we need to know about visual media to be
effective digital scholars?
graphesis
graphesis
visual knowledge
production; image work
graphesis
Opposite of mathesis –
Science, math as universal
language
graphesis
the basis of mathesis
Media are always embedded
in culture. Science was
made possible by exact copy
printing, a visual language
(Ivins 1953)
http://21st.century.phil-inst.hu/2002_konf/Nyiri/web_ivins.JPG
A language of science was
created in the 19th century
that was linked to the rise of
nation states and bureaucracy
William Playfair
http://www.visionlearning.com/library/large_images/image_4108.png
William Playfair (1786) The Commercial and Political Atlas:
Representing, by Means of Stained Copper-Plate Charts,
the Progress of the Commerce, Revenues, Expenditure and
Debts of England during the Whole of the Eighteenth
Century.
http://dougmccune.com/blog/wp-content/uploads/2010/01/playfair_north_america_trade2.jpg
http://www.economist.com/images/20071222/5107CR1B.jpg
http://www.math.yorku.ca/SCS/Gallery/images/priestley.gif
Joseph Priestley's life-time graph of the lifespans of famous
people. One of the first graphical time lines. Joseph Priestly, A
Chart of Biography, 1765.
http://cartographia.files.wordpress.com/2008/05/minard_napoleon.png
Minard’s map
http://cartographia.files.wordpress.com/2008/05/minard-full.jpg
http://commons.wikimedia.org/wiki/File:Minard-carte-viande-1858.png
These images are both
beautiful and effective
As digital scholars, our job is
to learn how to read, review,
and produce them
The theory of graphesis
teaches us that images have
an epistemology, or “cognitive
style”
http:///Gettysburg/sld001.htm
Why PowerPoint is Evil
• Monotony of slides homogenizes argument
– “Death by PowerPoint”
• Bullet points break up and distort thoughts
• Cheesy graphics
Non-rational logic
“The pieces became like short films”
http://www.youtube.com/watch?v=9P6Pi1JaIm8
Technology is not neutral
“Technology has properties--affordances--that make it easier to do
some activities, harder to do others: The easier ones get done, the
harder ones neglected.”
“Each technology poses a mind-set, a way of thinking about it and
the activities to which it is relevant..The more successful and
widespread the technology, the greater its impact upon the
thought patterns of those who use it, and consequently, the greater
its impact upon all of society. Technology is not neutral, it
dominates.”
Norman, Donald A., Things that Make Us Smart, Perseus Books, 1993, p. 243
See http://www.edwardtufte.com/bboard/q-and-a-fetch-msg?msg_id=0001yB
paradoxes
• Computers are based on mathesis, or logico-
mathematical thinking
• And visualization is based on computing
• Ergo, mathesis precedes graphesis
• But, mathesis rests on graphesis
– The iconography of mathematical symbols
– The products of mathesis must always be
visualized with forms that have a rhetoric
http://oneparticularwave.files.wordpress.com/2006/11/escher.gif
Lawrence Lessig
http://presentationzen.blogs.com/presentationzen/2005/
10/the_lessig_meth.html
Dick Hardt
http://identity20.com/media/OSCON2005/
Michael Wesch
http://www.youtube.com/watch?v=DZ_-q2sD-Co
http://www.youtube.com/watch?v=3cd7v1tOloI&feature
=related
Performative PowerPoint

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MDST 3703 F10 Seminar 12

Editor's Notes

  1. What is graphesis?
  2. What is it the opposite of?
  3. Mathesis = ontology = foundation of computing
  4. Note that statistics and visualization rise together NOT A BAD THING
  5. mashup
  6. mashup
  7. Note that statistics and visualization rise together NOT A BAD THING
  8. Note that statistics and visualization rise together NOT A BAD THING
  9. Exemplified by Tufte’s work