Wonderful article by @jimdaleywrites on our Current Biology paper with Walters Lab 🇺🇸🇨🇦🇩🇴🇦🇺🇺🇦🇹🇼🇳🇱🇱🇰🌈, @ally_lahey, Walt Koenig and Becca Brunner, on #ACWO power struggles in Scientific American !!

Please RT! We are looking for a postdoctoral or graduate digital humanities fellow in collaboration with National Gallery of Art to design and conduct a project using digitized National Gallery of Art collections. Review of applications begins 11/20. datascience.si.edu/opportunities/…

Our new study now in early view Journal of Ecology: Extant fruit‐eating birds promote genetically diverse seed rain, but disperse to fewer sites in defaunated tropical forests With Carolina Carvalho Cristina García @marinaccortes Marília Souza PG Eco e Bio #WomenInSTEM doi.org/10.1111/1365-2…

Nice commentary by SI Data Science and Smithsonian NMNH postdoctoral fellow Alex White, “Deep learning in deep time,” just out in PNASNews pnas.org/content/early/…

I wrote a commentary about some interesting new research in PNASNews on the use of deep learning for understanding fossil pollen. Check it out! pnas.org/content/early/…

Nice paper in Evolution online early co-authored by postdoctoral fellow Carlos Arias Carlos Arias doi.org/10.1111/evo.14… Check it out!

Two hundred years of research on Himalayan biodiversity: Trends, gaps, and policy implications frontiersin.org/article/10.338…

Our new work, led by Alex White, on how STRUCTURE models inform the biogeography around the Wallace line. Matthew Stephens #TrevorPrice onlinelibrary.wiley.com/doi/full/10.11…

Grateful that one of the internship projects funded by this program is with SI Data Science - please apply! #BecauseOfHerStory

Check our new paper on the history and patterns of biodiversity research in the Himalaya published in Frontiers - Ecology & Evolution 200 Years of Research on Himalayan Biodiversity: Trends, Gaps, and Policy Implications frontiersin.org/article/10.338…

So excited to see our paper out, finally!🥳 Richard Ree and I led this work on floristic structure at #HengduanMountains of SW China, with collaborations with Sun Lab (KIB), D. Boufford (Harvard), B. Bartholomew (CAS), and P. Fritsch (BRIT). We found interesting patterns! Read it -->

Check out our preprint “Deep learning as a tool for ecology and evolution,” led by @mareklborowiec ecoevorxiv.org/nt3as/. It also includes an interactive notebook! We hope this review will be useful for eco/evo folks thinking about how ML might be useful for their work.

In collaboration with National Gallery of Art, we are looking for a graduate or postdoctoral fellow to lead a project in the Analysis of High-Resolution Art Imagery using computational tools. Please spread the word! More details here: datascience.si.edu/opportunities/…

Check out the new electric fish genome (Brachyhypopomus occidentalis) just published by Carlos Arias! academic.oup.com/gbe/advance-ar…