1. the mudslide
hypothesis of science
kaitlin thaney
@kaythaney ; @digitalsci
OSCON

3. (keyword: try.)

4. promising
advances...

5. more often the reality.

7. data,

8. ability to reproduce experiments,

9. incentive to change,

10. <my story>

11. “the mudslide hypothesis”

12. “ 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

13. wasted ...
$$$
time
resource

15. what we know, is
research.

16. research is changing
(as is the research workflow)
text text
text

17. discovery is still
sub-optimal.

18. still the starting point

19. specific DBs no better
(in this case, likely worse)

20. streamline
search

21. our mediums are
evolving.
(our systems are still playing catch up)

22. mix of digital and
analog mediums
CC-BY-2.0 - Plaxco Lab - http://www.flickr.com/photos/34857812@N04/

23. the non-digital

24. the non-digital
parameters

25. ordering
+
processing
the non-digital

26. protocols
parameters
misc. lit

27. tracking
expiration
calibration

28. we’re facing a
perception issue.

29. exacerbating the problem.

30. locked in old mechanisms.

31. we need to rethink
our approach.

32. maximise (re-)use.
design decisions are key.
allow for network effects.

33. it’s time we redefined
performance for
research.

34. www.digital-science.com
kaitlin@digital-science.com
@kaythaney