Precipitation could spell peril for penguins

Lab member Casey Youngflesh has a photo featured as a part of the journal Frontiers in Ecology and the Environment’s new ‘Ecopics’ series. This series features wildlife photos that describe some interesting natural phenomenon. Casey found this Adélie penguin buried by snow near Joinville Island on the Antarctic Peninsula. Increased snow and rain may have negative consequences for penguin populations, as neither eggs nor young chicks can accommodate being wet!



Software Carpentry/HPC Workshop at POLAR 2018

Lynch Lab members Casey Youngflesh and Catherine Foley (in addition to some folks at TACC) kicked off this year’s POLAR 2018 conference by teaching a 2-day Software Carpentry/High Performance Computing workshop. The workshop was made possible by an NSF Research Coordination Grant, which endeavors to develop better cyberinfrastructure resources for complex analyses conducted by polar scientists. Thanks to everyone for attending! All workshop materials can be found here.


Congratulations to Casey Youngflesh on the American Ornithological Society Presentation Prize

Lab graduate student Casey Youngflesh was awarded the American Ornithological Society Presentation Prize for his presentation at the World Seabird Twitter Conference 4. The conference challenged participants to communicate their research in four tweets, using anything from hashtags to gifs. Check out all the conference presentations (including Michael Schrimpf’s) on twitter using the #WSTC4 hashtag. Follow Casey on twitter @caseyyoungflesh

`MCMCvis` package peer reviewed and published!

MCMCvis, created by lab PhD candidate Casey Youngflesh is now peer reviewed and published in the Journal of Open Source Software! JOSS is journal that focuses exclusively on scientific software. While I think most would agree that giving software developers credit for their work is important, I think the practice of citing R packages (at least in ecology) is relatively rare. I (Casey) myself am guilty of this, to be sure. Cite the R packages/other software you use – publications and citations of those pubs are the currency of academia!