the need for
disruption in science
kaitlin thaney
@kaythaney ; @mozillascience
envisioning the future
doing good is part of our code
traditions last not because they are
excellent, but because influential
people are averse to change and
because of the shee...
we’re battling inertia and
flawed assumptions.
we’re locked in old mechanisms.
“... up to 70% of research from academic labs
cannot be reproduced, representing an enormous
waste of money and effort.”
-...
traditions last not because they are
excellent, but because influential
people are averse to change and
because of the shee...
our definition of
“knowledge” is evolving.
as are the containers ...
research cycle
idea
experiment
lit review
materials
publish
share results
retest
analyze
collect data
blocking points
idea
experiment
access
attaining
materials
publish
share results
retest
analyze
collect data
(to name a fe...
types of information
hypothesis/query
protocols
parameters
content
non-digital “stuff”
articles
proceedings
negative resul...
3 Gb/year
how much made available?
* roughly
Source: Michener, 2006 Ecoinformatics.
wasted ...
$$$
time
resource
Source: Wolkovich et al. GCB 2012.
our systems
are hindering us.
(but there’s hope.)
existing system is imperfect
we can/need to do better.
“Altmetrics” generally refers to tracking
online attention (esp. social media) data
to try and get an idea of the wider
im...
?
changing models of
authority, community
rethink how we reward
“digital research”
idea
protocols
parameters
content
non-digital “stuff”
articles
proceedings
negati...
What Des-Cartes did was a good step.
You have added much several ways, &
especially in taking ye colours of thin
plates in...
Source: Piwowar, et al. PLOS.
core competencies of
21st century research
think before you (re)invent.
design for network effects.
coordination is key.
design (/teach) for reuse of
data / content / code.
learn from open source,
where reproducibility is
key.
questions?
kaitlin@mozillafoundation.org
@kaythaney ; @mozillascience
The need for disruption in science - Envisioning the Future, CIA
The need for disruption in science - Envisioning the Future, CIA
The need for disruption in science - Envisioning the Future, CIA
The need for disruption in science - Envisioning the Future, CIA
The need for disruption in science - Envisioning the Future, CIA
The need for disruption in science - Envisioning the Future, CIA
The need for disruption in science - Envisioning the Future, CIA
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The need for disruption in science - Envisioning the Future, CIA

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The need for disruption in science - Envisioning the Future, CIA

  1. 1. the need for disruption in science kaitlin thaney @kaythaney ; @mozillascience envisioning the future
  2. 2. doing good is part of our code
  3. 3. 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
  4. 4. we’re battling inertia and flawed assumptions.
  5. 5. we’re locked in old mechanisms.
  6. 6. “... up to 70% of research from academic labs cannot be reproduced, representing an enormous waste of money and effort.” - Elizabeth Iorns, Science Exchange
  7. 7. 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
  8. 8. our definition of “knowledge” is evolving. as are the containers ...
  9. 9. research cycle idea experiment lit review materials publish share results retest analyze collect data
  10. 10. blocking points idea experiment access attaining materials publish share results retest analyze collect data (to name a few ...)
  11. 11. types of information hypothesis/query protocols parameters content non-digital “stuff” articles proceedings negative results analysis code datasets models (added complexity) prof activities mentorship teaching activities
  12. 12. 3 Gb/year
  13. 13. how much made available? * roughly
  14. 14. Source: Michener, 2006 Ecoinformatics.
  15. 15. wasted ... $$$ time resource
  16. 16. Source: Wolkovich et al. GCB 2012.
  17. 17. our systems are hindering us. (but there’s hope.)
  18. 18. existing system is imperfect we can/need to do better.
  19. 19. “Altmetrics” generally refers to tracking online attention (esp. social media) data to try and get an idea of the wider impact of scholarly research.
  20. 20. ? changing models of authority, community
  21. 21. rethink how we reward “digital research” idea protocols parameters content non-digital “stuff” articles proceedings negative results analysis code datasets models prof activities mentorship teaching activities
  22. 22. What Des-Cartes did was a good step. You have added much several ways, & especially in taking ye colours of thin plates into philosophical consideration. If I have seen further it is by standing on ye shoulders of Giants. - Isaac Newton, 1676 “ “
  23. 23. Source: Piwowar, et al. PLOS.
  24. 24. core competencies of 21st century research
  25. 25. think before you (re)invent. design for network effects. coordination is key.
  26. 26. design (/teach) for reuse of data / content / code. learn from open source, where reproducibility is key.
  27. 27. questions? kaitlin@mozillafoundation.org @kaythaney ; @mozillascience
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