Company, events, and community

rstudio::conf(2018): Contributed talks, e-posters, and diversity scholarships

Hadley Wickham Headshot
Written by Hadley Wickham
2017-08-15

rstudio::conf, the conference on all things R and RStudio, will take place February 2 and 3, 2018 in San Diego, California, preceded by Training Days on January 31 and February 1. We are pleased to announce that this year’s conference includes contributed talks and e-posters, and diversity scholarships. More information below!

Contributed talks and e-posters

rstudio::conf() is accepting proposals for contributed talks and e-posters for the first time! Contributed talks are 20 minutes long, and will be scheduled alongside talks by RStudio employees and invited speakers. E-posters will be shown during the opening reception on Thursday evening: we’ll provide a big screen, power, and internet; you’ll provide a laptop with an innovative display or demo.

We are particularly interested in talks and e-posters that:

  • Showcase the use of R and RStudio’s tools to solve real problems.

  • Expand the tidyverse to reach new domains and audiences.

  • Communicate using R, whether it’s building on top of RMarkdown, Shiny, ggplot2, or something else altogether.

  • Discuss how to teach R effectively.

To present you’ll also need to register for the conference.

Apply now!

Applications close Sept 15, and you’ll be notified of our decision by Oct 1.

Diversity scholarships

We’re also continuing our tradition of diversity scholarships, and this year we’re doubling the program to twenty recipients. We will support underrepresented minorities in the R community by covering their registration (including workshops), travel, and accommodation.

Apply now!

Applications close Sept 15, and you’ll be notified of our decision by Oct 1.

Hadley Wickham Headshot

Hadley Wickham

Chief Scientist, Posit
Hadley is Chief Scientist at Posit PBC, winner of the 2019 COPSS award, and a member of the R Foundation. He builds tools (both computational and cognitive) to make data science easier, faster, and more fun. His work includes packages for data science (like the tidyverse, which includes ggplot2, dplyr, and tidyr)and principled software development (e.g. roxygen2, testthat, and pkgdown). He is also a writer, educator, and speaker promoting the use of R for data science.