useR! 2022
The R User Conference
Online • Global

June 20-23, 2022


useR! is an annual nonprofit conference organized by R community volunteers and supported by the R Foundation. Attendees include R developers and users who are data scientists, business intelligence specialists, analysts, statisticians from academia and industry, and students. The conferences showcase applications of R software and developments in the software itself, as well as new and updated R packages that provide boundless additional functionality to R. Community contributions form the foundation of useR! conferences.

Keynote Speakers

Photo of keynote speaker Sebastian Meyer

Sebastian Meyer

Sebastian Meyer is a statistician and research fellow at the Institute of Medical Informatics, Biometry and Epidemiology at Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany. He holds a PhD in Epidemiology and Biostatistics from the University of Zurich and maintains the R package surveillance. He is an editor of the Journal of Statistical Software and the newest member of the R Core Team.

Photo of keynote speaker Amanda Cox

Amanda Cox

Until 2022, Amanda Cox was the data editor of the New York Times. She joined its graphics department in 2005, making charts and maps for the paper and its website. In 2016, she was named the editor of The Upshot section, which offers an analytical approach to the day’s news. She is a leader in the field of data visualization. Before joining the Times, she worked at the Federal Reserve Board and earned a master’s degree in statistics from the University of Washington.

Photo of keynote speaker Julia Silge

Julia Silge

Julia Silge is a data scientist and software engineer at RStudio PBC, where she works on open source modeling tools. She holds a PhD in astrophysics and has worked as a data scientist in tech and the nonprofit sector, as well as a technical advisory committee member for the US Bureau of Labor Statistics. She is an author, an international keynote speaker, and a real-world practitioner focusing on data analysis and machine learning practice. Julia loves text analysis, making beautiful charts, and communicating about technical topics with diverse audiences.

Photo of keynote speaker Mine Dogucu

Mine Dogucu

Mine Dogucu is an assistant professor of teaching in the Department of Statistics at the University of California Irvine. She is an educator with an interest in statistics and data science education and an applied statistician with experience in educational research. She works towards the goal of making statistics and data science physically and cognitively accessible. She enjoys teaching (with) R. She is the coauthor of the book Bayes Rules! An Introduction to Applied Bayesian Modeling and the accompanying R package bayesrules.

More announcements to come!

Important Dates

Date Event
15-Feb-22 Tutorial submissions close
1-Mar-22 Talk, panel, and poster submissions close
1-Mar-22 Early registration opens
30-Apr-22 Early registration closes
1-May-22 Regular registration opens
20-Jun-22 useR! 2022 begins!