The Uncoast Unconference

Bringing R users and developers together in flyover country.
See what we’ll be working on, and contribute a project idea on Github!

What is an unconf?
Photo credit: Karthik Ram, rOpenSci

What is an unconference?

Unlike a conference with scheduled sessions and the mere hope of future collaboration, at an unconference, the collaboration happens in real time! Modeled on rOpenSci unconfs, at the Uncoast Unconf, R users and developers of all different backgrounds and levels will come together for two days to collaborate on exciting data science projects. In addition, we will be hosting a Day 0 workshop for participants who are new to package development and collaboration with Github. For more on this type of unconference, see this post



April 14-16, 2019


John Deere Financial in Des Moines, IA




Apply by February 5 at 5pm


April 14

An optional ‘Day Zero’ workshop for learning how to write R packages and collaborate with Github. More info here

April 15

Day 1: Start with some introductions, form project groups, and go! Full schedule here

April 16

Day 2: Continue to work on projects, group discussions, report out, dinner as a group. Full schedule here


Our participants represent the wide variety of skills and experience of all R users, from beginners to a member of R-Core. They come from industry, academia, and government, and we are proud to bring such a diverse group of R users and developers together in the middle of America.


Sam Tyner

Postdoc Research Associate, Iowa State University

Sam earned her PhD in Statistics from Iowa State University in 2017. Her primary research interests are data visualization and forensic statistics. She writes about both of these things on her website.

Sam Helmich

Principal Data Scientist, John Deere Intelligent Solutions Group

Sam holds an MS in statistics from Iowa State University. Before starting his current position, he worked in applied analytics roles within John Deere Worldwide Parts and Global Order Fulfillment.

Ian Lyttle

Data Scientist, Schneider Electric

Ian’s background is in Mechanical Engineering and Computational Fluid Dynamics. As Schneider Electric became more data-centric, he learned R, and soon became an R visualization enthusiast. Since joining the ISU Statistical Graphics Working Group, Ian has become an R expert!

Susan Vanderplas

Research Assistant Professor, Iowa State University

Susan got her PhD from Iowa State University in 2015. She is currently working on research in statistical graphics and forensic statistics.

Angela Li

R Spatial Advocate, University of Chicago

Angela has a background in spatial econometrics and is currently building out spatial analysis resources for applied social science research. She is a proud R-Lady and data science community builder. Learn more about Angela on her website.

Heike Hofmann

Professor of Statistics, Iowa State University

Heike’s primary research interests are Data Visualization, Multivariate Categorical Data Analysis, Statistical Computing, Exploratory Data Analysis and Interactive Statistical Graphics. She is also a member of the ISU Data Science Curriculum Committee.

Thank you to our sponsors!

If you have questions about sponsorship or your organization is interested in becoming a sponsor, please email Sam Tyner at sctyner [at] iastate [dot] edu.