Tweets from the Smithsonian Data Science Lab, part of the Office of the Chief Information Officer. Terms of use: https://xitter.cf/t.co/DNZrZoyDYz

Washington, DC
Joined October 2017
Our many thanks to our Smithsonian colleagues for collaborating on this latest DSL publication! "Developing responsible AI practices at the Smithsonian Institution"
👍Promise & perils👎 of applying #ArtificialInteligence and #MachineLearning for #digitization. @Smithsonian staff, fellows & interns teamed up to develop an #AI Values Statement and implementation plan. 👉Find more in their research article: doi.org/10.3897/rio.9.e11333… #FAIRdata
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Our fearless colleague @rdikow is moving on. She leaves behind some very big shoes to fill! We are sad to see her leave and @yalelibrary is lucky to have her leadership. But don't sleep on our lab! Many exciting projects on the horizon. Rebecca is leaving us in fighting shape.
Today is my last day in my position at the Smithsonian Institution @SIDataScience. I am endlessly grateful for the brilliance and care of the colleagues with whom I have worked. 1/3
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SI Data Science retweeted
I wasn’t able to make it to #Botany2023 in person but thankful @Bryophyter will deliver our talk, “Let the records show: attribution of scientific credit in natural history collections” in the #SIRIS session today at 10:30am. 🌻 Paper here: journals.uchicago.edu/doi/10… @IJPSJournal
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SI Data Science retweeted
We are excited that our new paper, Let the Records Show: Attribution of Scientific Credit in Natural History Collections, is now online journals.uchicago.edu/doi/10…. This work is in a special issue of @IJPSJournal dedicated to Vicki Funk.
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SI Data Science retweeted
Very excited to see this one published! A great collaboration bringing together talented fish biologists and data scientists to produce a tool to support #Amazonianfish #biodiversitymonitoring #deeplearning #conservationtech #bmap
New paper alert! Led by @AJRobillard @jessieldk @rdikow @miketrizna @aewhite100 To address need for rapid species identification #RainForest We describe a deep learning image classifier to ID #Amazonian 🐟🐠🐡 from #museum and field📸 @NMNH @NationalZoo onlinelibrary.wiley.com/doi/…
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SI Data Science retweeted
Applications open for the Paid 2023 Because of Her Story Internship Program! womenshistory.si.edu/news/ap… @SIDataScience will host one intern but all the projects look amazing!
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SI Data Science retweeted
Clouded leopard genomes! Congrats to frandlab/@SIDataScience wundergrad, @maddyygraceb on her first, first author pub! Great working with @rdikow @henriquevf @thednazoo and others on this project.
"Whole genome analysis of clouded leopard species reveals an ancient divergence and distinct demographic histories" @NationalZoo Klaus-PeterKoepfli,, @BYU Paul B. Frandsen Read more in @iScience_CP: spkl.io/60164ksF0
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Excited to participate in this discussion about Mary Vaux Walcott’s life and work and highlight how women shaped @smithsonian collections. Join us on 10/28!
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We recently attributed specimens to Dr. Pérez Farfante: bionomia.net/Q6077744. Amazing to read more about her life and career. #SmithsonianHHM
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SI Data Science retweeted
Great to see this work out, led by @AJRobillard with colleagues including @miketrizna @jessieldk @Davidefishes @aewhite100. A collaboration across @SIDataScience @NMNH @NationalZoo @IiapPeru @SmithsonianWLS Try out the app and let us know how it works on your fish images!
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SI Data Science retweeted
Come work with me! We are hiring for 2 Collections Information Specialist positions (1 permanent, 1 term) on our fantastic digital collections team. More info and links to apply: jobs.diglib.org/job/collecti…
SI Data Science retweeted
I really enjoyed teaching this course in 2018 and 2019 and we’re excited to be able to offer it again in 2023! Please feel free to reach out with any questions: smconservation.gmu.edu/progr…
Check out Taxa, Traits & Text, a new #AppsPlantSci collection highlighting innovative methods to extract taxonomic names & traits from text, automate species identification & generate descriptions bsapubs.onlinelibrary.wiley.… @briana_gross #iamabotanist #phenotype #MachineLearning
Really excited our interns had the chance to present their projects to the @smithsonian CIO and Director of Research Computing today! Here is some of what they have worked on:
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Matt Bollinger, grad student at Georgia Tech, is piloting the use of AI methods to generate alt-text for @smithsonian collections images. Mike Trizna, @SIDataScience Data Scientist, is his mentor.
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So proud of all the great work they have done this summer. Sadly, we don’t have a group photo because all our interns are remote but we hope to welcome everyone to visit us in DC soon!
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