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#Reproducibility
Tristan Glatard
TristanGlatard
I'm excited to share the work of my student @bhangu_kaur, co-supervised with Aiman Hanna @GinaCodySchool:"An Analysis of Security Vulnerabilities in Container Images for Scientific Data Analysis"https://arxiv.org/abs/2010.1397
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Rachel Franklin 🦚🦚
rsfrankl
For my contribution to the big @GeogAnalysis 50th birthday bash, I reflected on how the geographical analysis/quantitative geography landscape appeared to me, a part of Generation 3.0, entering the field
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Gilad Feldman
giladfeldman
We social psychologists really need to discuss "Humankind" by @rcbregman.I finished listening to audiobook yesterday. Putting aside inspirational message, I think social psychologists should read chapters regarding the classic fin
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Tom Kelly ケリー・トãƒ
tomkXY
I’ve seen a few discussions on whether we should cite software packages. As an author and maintainer of several packages and a contributor to open source projects, I think this
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OHBM_Open_Science
OhbmOpen
We are excited to announce this year's Nominations for the @OHBM Open Science Special Interest Group (OS_SIG) for OHBM 2021! #OHBM2020 Please self-nominate yourself here!: https://bit.ly/OHBMOSSIG2021Nominations The Open Science movemen
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Ned Dochtermann
DochtermannLab
I find it interesting that some in animal behavior/behavioral ecology are discussing the field's "replication crisis". This is interesting to me because we don't actually know that such a crisis
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Stuart Newman
sanewman1
1/N I've never used Twitter to present a new scientific view. But these ideas span evolutionary & developmental biology and philosophy, so it won't be published in any widely read
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FX Coudert
fxcoudert
Why I disagree: for me it's #PeerReview YES! & #Preprint YES! There are definitely not exclusive. A thread https://twitter.com/ScheuringLab/status/1304433607423991808 There are bad papers that pass peer-review. We have plenty of
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Venkatesh Rao
vgr
Dunning-Kruger asymmetry. The less confident, more doubtful must always work to understand the ones more sure of themselves. Just like people living in cities often pay extra taxes.https://twitter.com/jillfilipovic/status/132557873222093209
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Vijay Pande
vijaypande
1/ Drug design is fundamentally a data science problem. 2/ Naturally, data science starts with the data, with a key challenge being the creation of accurate and highly reproducible data
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Robert Miller
bertcmiller
What happens when everyone is empowered to participate in data driven research?We're very close to this happening:- Access to health records increasing- Sensors proliferating- New tech enables us to learn
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Dan Ovando
DanOvand0
Fall is here and a lot of students are starting their journey as #rstats users. This can be tough, especially with all the barriers to learning that 2020 is throwing
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Myz Lilith
MyzLilith
You can test any claim that a problem can be solved 'by blockchain' by substituting 'by database' instead. If it now sounds like nonsense, it always was. If it still
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Matthew Salganik
msalganik
If hundreds of scientists created predictive algorithms with high-quality data, how well would the best predict life outcomes? Not very well. Fragile Families Challenge: paper in PNAS w 112 authors
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Yonatan Grad
yhgrad
New preprint: Here we report quantitative prospective longitudinal testing from @nba players, staff and vendors & consider how these data can be used to improve diagnostic and surveillance testing algorithms.
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Kirstie Whitaker
kirstie_j
Chilling on the couch after a SUPER fun chat with @melissawm from @numpy_team and @ReaderMeter from @cziscience and hosts @luis_in_brief and @joshsimmons both from @tidelift. Buzzing from all the fantastic
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