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I want to thank
@iddux@hajirasouliha@aanaqvi@MaryRBoland@michaelhoffman and@baraaorabi who gave us feedback. Also others - there was a lot of twitter traffic so I likely missed comments. We hope to continue to improve the manuscript. I apologize to everyone who we offended.Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
We're also working on an expanded analysis that includes affiliation information as well. This will allow us to examine disparities at the nation level without grouping and also to examine whether where someone works affects these disparities. This will take us a few weeks.
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We've updated the preprint to use a coding for these groups instead, and we've removed the terms which were assigned to them.pic.twitter.com/WnXy09k75k
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In this case, though the _groupings_ were derived from data, the terms for the groups were arbitrary. In this case, using those terms was not accurate. It also meant that we offended folks. I'm the corresponding author on this preprint and it was my fault.
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In research, we often build off the work of others. In this case we used groupings from a previous approach termed NamePrism. The NamePrism approach learns a low-dimensional representation of names. The representation was used to group countries, and we used those groupings.
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Here's another
#preprint mistake for folks. We shared this preprint on Thursday. We used various approaches to predict features of honorees and authors in the literature and identify differences.https://twitter.com/GreeneScientist/status/1222961307130920966 …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Spending Sunday doing some hearts and crafts with
@greeneannac and@NotoriousAda!pic.twitter.com/JznB84PIH5
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This is what happens when you ask it to answer
@theNCI's Provocative Questions. https://twitter.com/thebyrdlab/status/1223767593791737857 …pic.twitter.com/nqBPwRByff
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Casey Greene proslijedio/la je Tweet
Looking for my cell phone for two factor authentication.https://twitter.com/redteamwrangler/status/1223126433293189120 …
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Casey Greene proslijedio/la je Tweet
I would also add that this is in stark contrast to the number of scientists of Asian origin who provide services to the field, including those serving on major NIH study sections of
#compbio/#bioinformaticsPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Casey Greene proslijedio/la je Tweet
Thank you for this important study of
@iscb honorees and keynotes, including the finding that "the lack of Asian scientists among keynote speakers and Fellows was particularly pronounced when compared against the field-specific background".https://twitter.com/GreeneScientist/status/1222961307130920966 …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
I've seen a bunch of
@SEPTA buses run lights before but usually it's at least plausibly close to when it turns red. One this morning was so late that it almost ran into walkers and cars. If they hadn't stopped it would have.Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Casey Greene proslijedio/la je Tweet
Excited to announce the latest extension of CoGAPS for scATAC-seq led by the great Rossin Erbe! Matrix factorization and transfer learning uncover regulatory biology across multiple single-cell ATAC-seq data sets | bioRxivhttps://www.biorxiv.org/content/10.1101/2020.01.30.927129v1 …
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Casey Greene proslijedio/la je Tweet
Important for
@iscb members to take a good look. But more importantly, what can we do going forward? Information should be used to catalyze change.https://twitter.com/GreeneScientist/status/1222961307130920966 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Casey Greene proslijedio/la je Tweet
An important finding: "Every approach consistently shows that white scientists are overrepresented among speakers and honorees, while scientists of color are underrepresented."https://twitter.com/GreeneScientist/status/1222961307130920966 …
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Casey Greene proslijedio/la je Tweet
I'm more than thrilled to be part of this fun analysis! Who gets invited to speak at conferences? Who's named Fellows? What is the right level representation? See thread for our main findings!
#bioinformatics#MachineLearning#DeepLearning#LSTM#diversity#equityhttps://twitter.com/GreeneScientist/status/1222961307130920966 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
We've submitted this to
#ISMB2020/#ISMB20 & preprint to@biorxivpreprint. Hopefully you'll see it soon in a venue near you. As is often the case, find the current manuscript at the Manubot link at the top of this thread. There's a GitHub repo here too:https://github.com/greenelab/iscb-diversity-manuscript …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Predicting nationality required
@AHippenAnderson and@MR_Gazzara to build a dataset of 700,000 name-nationality pairs from@wikipedia and a machine learning model (#LSTM in this case) to predict nationality. This is available as well! https://github.com/greenelab/wiki-nationality-estimate …pic.twitter.com/qpBBQpBn10
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Comparing with publications required
@dhimmel to build pubmedpy.https://github.com/dhimmel/pubmedpy …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
This work, led by
@trang1618, is our attempt to characterize the honors bestowed by@iscb and major meetings. The headline finding is that there are clear disparities between publications and honors, especially by nationality.pic.twitter.com/XmKbKiZeYf
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