Reproducibility in an Office World: Tools for Crossing the Abyss By Noam Ross Abstract: Many data scientists operate at the interface between two cultures and workflows: programmatic data science and WYSIWYG office applications. This noisy interface impedes reproducibility and is often maddening to practitioners in both camps. I will discuss failures and successes of crossing this uncanny valley and present a series of new packages for working collaboratively in mixed teams for reproducibility, joy and harmony. Bio: Noam Ross is a disease ecologist at EcoHealth Alliance researching the origins of new infectious diseases in wildlife and forecasting future outbreaks. He is also an editor for rOpenSci, a project to enable open and reproducible science through R-based tools. He holds a Ph.D. in Ecology from U.C. Davis. Twitter: @noamross Presented at the 2019 New York Conference (May 11th, 2019)