making the web work for science - scitechla
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kaitlin thaney@kaythaney ; @mozillascience
scitechLA / 29 sept. 2013
making the web work for science
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doing good is part of our code
help researchers use the power of the open web to change science’s future.
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what is “open science”?
“... up to 70% of research from academic labs cannot be reproduced, representing an enormous
waste of money and effort.”- Elizabeth Iorns, Science Exchange
our definition of “knowledge” is evolving.
our systems need to follow.
research cycleidea
experiment
lit review
materials
publish
share resultsretest
analyze
collect data
blocking pointsidea
experiment
access
attaining materials
publish
share resultsretest
analyze
collect data
(to name a few ...)
types of informationhypothesis/query
protocolsparameters
content
non-digital “stuff”
articlesproceedings
negative results
analysiscode
datasetsmodels
(added complexity)
prof activitiesmentorship
teaching activities
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
Source: Michener, 2006 Ecoinformatics.
web as a platform participatory, enabling, open
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our systems need to talk to one another.
learn by doing. teach by showing.
“One worry I have is that, with reviews like this, scientists will be even more discouraged from publishing their code [...] We need to get more code out there, not improve how it looks.”
“There’s greater reward, and more temptation to
bend the rules.”- David Resnik, bioethicist
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shifting practice is hard.... but not impossible.
63 nations 10,000 scientists
50,000 participants
can we do the same for open science?
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we need to even (/ elevate) the playing field.
facing a digital skills gap
“Reliance on ad-hoc, self-
education about what’s
possible doesn’t scale.”
- Selena Decklemann
learn from open source(culture as well as technology)
current activity:135 instructors
(30, training)115 bootcamps3500 learners
building capacity“train the trainer”
instill best (digital,
reproducible) practice
“research hygiene”
wasted ...$$$time
resourceopportunity
in an increasingly digital, data-driven world, what core skills, tools
do the next-generation need?
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operating in isolation doesn’t scale.
coordination and collaboration are key.
design for interoperability.
remember the non-technical challenges.
join us (and the conversation.)
teach, host, learn.http://software-carpentry.org
http://wiki.mozilla.org/ScienceLab
