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

    • 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 sheer burdens of transition to a better state ... “ “ Cass Sunstein
    • 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.” - Elizabeth Iorns, Science Exchange
    • 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
    • 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 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
    • 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 impact of scholarly research.
    • ? changing models of authority, community
    • 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
    • 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 “ “
    • 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