275 - Publishing Rocks

00:00:00 - Ryan is joined by Professors Christopher Jackson and Tom Narock. We begin by talking about their research. Chris uses seismic data to explore landform evolution over deep time. Tom is trying to use semantics and machine learning to help earth scientists wrangle all the data that's out there (or, if you're suspicious, he's securing his spot amongst the machines for when the robot uprising occurs). 00:28:56 - Drinks are a thing, and we have them. Chris enjoys a Camden Hells Lager from London, England if you can believe it. Tom has some triple hopped homebrew that we're still working on a name for. And Ryan enjoys a Creedence Pilsner because he needed something sessionable around for playing D&D.; 00:37:40 - In part two of the discussion, Chris and Tom explain the new preprint server EarthArXiv they and others have been working on. We go over the basics of preprint servers, how they see the role of preprint servers in the publishing ecosystem (including an AGU preprint server of their own), and how simple it is to actually put your work on them. You can follow updates on their endeavor on Twitter @EarthArXiv as well as Chris (@seis_matters) and Tom (@tnarock) personally. 01:13:49 - PaleoPOWs are a lot like publishing, there's a long time between submission and publication. First up, a thesis for Patron James P., who, like Joe, is a bit of a 3D printer too. His thesis is: The Stability of Genius: Use of Machine Learning to Develop Algorithms for Controlling Tuned-Mass Dampers in Skyscrapers to Counteract Seismic Effects. Like, really smart ideas. Thanks, James! Ryan has a voicemail from Baylor, who seems like a right dude and wanted to just tell us he likes the show.  Cool rewards await you if you decide to support us on Patreon! Music for this week's show: II. Earth: The Oldest Computer (The Last Night) [feat. Azealia Banks] - Childish Gambino London Bridge - Ed Sheeran and Yelawolf Give It Away - Andrew Bird