Making the Web work for science - SciTechLA


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Making the Web work for science - SciTechLA

  1. kaitlin thaney @kaythaney ; @mozillascience scitechLA / 29 sept. 2013 making the web work for science
  2. (0)
  3. doing good is part of our code
  4. help researchers use the power of the open web to change science’s future.
  5. (1)
  6. what is “open science”?
  7. “... up to 70% of research from academic labs cannot be reproduced, representing an enormous waste of money and effort.” - Elizabeth Iorns, Science Exchange
  8. our definition of “knowledge” is evolving. our systems need to follow.
  9. research cycle idea experiment lit review materials publish share results retest analyze collect data
  10. blocking points idea experiment access attaining materials publish share results retest analyze collect data (to name a few ...)
  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. 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. Source: Michener, 2006 Ecoinformatics.
  14. web as a platform participatory, enabling, open
  15. (2)
  16. our systems need to talk to one another. learn by doing. teach by showing.
  17. “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.”
  18. “There’s greater reward, and more temptation to bend the rules.” - David Resnik, bioethicist
  19. (3)
  20. shifting practice is hard. ... but not impossible.
  21. 63 nations 10,000 scientists 50,000 participants can we do the same for open science?
  22. (4)
  23. we need to even (/ elevate) the playing field.
  24. facing a digital skills gap
  25. “Reliance on ad-hoc, self- education about what’s possible doesn’t scale.” - Selena Decklemann
  26. learn from open source (culture as well as technology)
  27. current activity: 135 instructors (30, training) 115 bootcamps 3500 learners
  28. building capacity “train the trainer”
  29. instill best (digital, reproducible) practice “research hygiene”
  30. wasted ... $$$ time resource opportunity
  31. in an increasingly digital, data- driven world, what core skills, tools do the next-generation need?
  32. (5)
  33. operating in isolation doesn’t scale.
  34. coordination and collaboration are key. design for interoperability. remember the non-technical challenges.
  35. join us (and the conversation.) teach, host, learn.
  36. questions? @kaythaney ; @mozillascience
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