Download - 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
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help researchers use the power of the open web to change science’s future.
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what is “open science”?
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“... up to 70% of research from academic labs cannot be reproduced, representing an enormous
waste of money and effort.”- Elizabeth Iorns, Science Exchange
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our definition of “knowledge” is evolving.
our systems need to follow.
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research cycleidea
experiment
lit review
materials
publish
share resultsretest
analyze
collect data
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blocking pointsidea
experiment
access
attaining materials
publish
share resultsretest
analyze
collect data
(to name a few ...)
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types of informationhypothesis/query
protocolsparameters
content
non-digital “stuff”
articlesproceedings
negative results
analysiscode
datasetsmodels
(added complexity)
prof activitiesmentorship
teaching activities
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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
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Source: Michener, 2006 Ecoinformatics.
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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.
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“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.”
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“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.
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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.
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facing a digital skills gap
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“Reliance on ad-hoc, self-
education about what’s
possible doesn’t scale.”
- Selena Decklemann
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learn from open source(culture as well as technology)
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current activity:135 instructors
(30, training)115 bootcamps3500 learners
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building capacity“train the trainer”
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instill best (digital,
reproducible) practice
“research hygiene”
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wasted ...$$$time
resourceopportunity
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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.
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coordination and collaboration are key.
design for interoperability.
remember the non-technical challenges.
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join us (and the conversation.)
teach, host, learn.http://software-carpentry.org
http://wiki.mozilla.org/ScienceLab