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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.
text texttext
research is changing(as is the research workflow)
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)
CC-BY-2.0 - Plaxco Lab - http://www.flickr.com/photos/34857812@N04/
mix of digital and analog mediums
the non-digital
parameters
the non-digital
the non-digital
+ordering
processing
protocols parameters
misc. lit
trackingexpiration 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
@kaythaney
