Making the Web work for science - SciTechLA
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Making the Web work for science - SciTechLA






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Making the Web work for science - SciTechLA Making the Web work for science - SciTechLA Presentation Transcript

  • kaitlin thaney @kaythaney ; @mozillascience scitechLA / 29 sept. 2013 making the web work for science
  • (0)
  • doing good is part of our code
  • help researchers use the power of the open web to change science’s future.
  • (1)
  • 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 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 few ...)
  • 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
  • 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
  • (2)
  • 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
  • (3)
  • shifting practice is hard. ... but not impossible.
  • 63 nations 10,000 scientists 50,000 participants can we do the same for open science?
  • (4)
  • 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 bootcamps 3500 learners
  • building capacity “train the trainer”
  • instill best (digital, reproducible) practice “research hygiene”
  • wasted ... $$$ time resource opportunity
  • in an increasingly digital, data- driven world, what core skills, tools do the next-generation need?
  • (5)
  • 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.
  • questions? @kaythaney ; @mozillascience