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the mudslide
hypothesis of science
       kaitlin thaney
   @kaythaney ; @digitalsci
          OSCON
(keyword: try.)
promising
   advances...
more often the reality.
data,
ability to reproduce experiments,
incentive to change,
<my story>
“the mudslide hypothesis”
“  traditions last not because
they are excellent, but because
influential people are averse to
   change and because of the
sheer burdens of transition to
          a better state“
                    Cass Sunstein
wasted ...
   $$$
   time
 resource
what we know, is
   research.
research is changing
   (as is the research workflow)


       text text
             text
discovery is still
  sub-optimal.
still the starting point
specific DBs no better
 (in this case, likely worse)
streamline
  search
our mediums are
     evolving.
(our systems are still playing catch up)
mix of digital and
 analog mediums
CC-BY-2.0 - Plaxco Lab - http://www.flickr.com/photos/34857812@N04/
the non-digital
the non-digital



 parameters
ordering
             +
        processing

the non-digital
protocols
parameters
 misc. lit
tracking
expiration
calibration
we’re facing a
perception issue.
exacerbating the problem.
locked in old mechanisms.
we need to rethink
  our approach.
maximise (re-)use.
design decisions are key.
allow for network effects.
it’s time we redefined
    performance for
        research.
www.digital-science.com

kaitlin@digital-science.com
        @kaythaney

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"The Mudslide Hypothesis of Science" - OSCON