The ‘Conference Report: useR! 2016’ article from the 2016-1 issue.
The 12th international R user conference, useR! 2016, took place at Stanford University, Stanford CA from June 27 through June 30th. Hosted by the Stanford University Department of Statistics and the Stanford Libraries, the conference took place at the Frances Arrillaga Alumni Center, on the surrounding lawns and in several adjacent buildings. The floor to ceiling windows of the larger conference rooms, the garden locations for coffee and meals and the beautiful weather contributed to making the event a classic California experience.
Originally planned for 750 people, a slight increase over the 660 attendee total for last year’s conference in Denmark, useR! 2016 sold out completely during the first few weeks. Although the final attendee list eventually topped out at just over 900 people, it nevertheless excluded many from both academia and industry who were seeking tickets. To mitigate the disappointment, the conference organizers arranged to “live stream” the keynote sessions over the internet and to record many of the contributed talks. Many thanks to Microsoft Corporation which provided the expertise and financing for the video recording, and to many other corporate sponsors who made possible student scholarships, daily free lunches, a continuous flow of coffee and fruit juices, and a social program that included a cocktail reception and a Hornblower Yacht cruise on the San Francisco Bay.
The Gordon and Betty Moore foundation helped fund 17 Diversity Scholarship awards overseen by a committee consisting of Scott Chamberlain, Amy Lee, Gabriela de Queiroz and Karthik Ram (chair). In addition, the American Statistical Association provided funds to award $2,500 each to two outstanding young useRs, Helen Ogden (University of Warwick) and Tong He (Simon Fraser University) chosen by the Program Committee.
The program consisted of 18 pre-conference tutorials, 6 invited talks, 146 oral presentations, 45 lightning talks and 60 poster sessions.
The pre-conference tutorials were free and open to all attendees.
Regression Modeling Strategies and the rms Package - Frank Harrell
Using Git and GitHub with R, RStudio, and R Markdown - Jennifer Bryan
Effective Shiny Programming - Joe Cheng
Missing Value Imputation with R - Julie Josse
Extracting data from the web APIs and beyond - Scott Chamberlain, Garrett Grolemund and Karthik Ram
Ninja Moves with data.table - Learn by Doing in a Cookbook Style Workshop - Matt Dowle and Arun Srinivasan
Never Tell Me the Odds! Machine Learning with Class Imbalances - Max Kuhn
MoRe than woRds, Text and Context: Language Analytics in Finance with R - Sanjiv Das and Karthik Mokashi
Handling and Analyzing Spatial, Spatiotemporal and Movement Data - Edzer Pebesma
Machine Learning Algorithmic Deep Dive- Erin LeDell
Introduction to SparkR- Hossein Falaki and Shivaram Venkataraman
Using R with Jupyter Notebooks for Reproducible Research - Andrie de Vries and Micheleen Harris
Understanding and Creating Interactive Graphics - Claus Thorn Ekstrøm and Toby Dylan Hocking
Genome-Wide Association Analysis and Post-Analytic Interrogation with R - Andrea S. Foulkes
An Introduction to Bayesian Inference using R Interfaces to Stan - Ben Goodrich
Small Area Estimation with R - Virgilio Gómez Rubio
Dynamic Documents with R Markdown- Yihui Xie
The invited, plenary talks began with a retrospective look at the development of the S and R languages, discussed topics concerned with good programming practice and touched on topics essential to the developing field of Data Science.
Forty years of S - Richard Becker
Literate Programming - Donald Knuth
Towards a grammar of interactive graphics - Hadley Wickham
Flexible and Interpretable Regression Using Convex Penalties - Daniela Witten
Statistical Thinking in a Data Science Course - Deborah Nolan
RCloud - Collaborative Environment for Visualization and Big Data Analytics - Simon Urbanek
The contributed talks were organized into 5 parallel tracks with sessions devoted to: Bayesian Statistics, Bioinformatics, Case Studies, Databases, Generalized Mixed Models, Graphics, Packages and Development, Performance, R in Business, R and Other Languages, Regression, Reproducible Research, Spatial Statistics, Statistical Methods, Statistics and Big Data, Teaching and sessions devoted to our sponsors, miscellaneous talks organized under Kaleidoscope sessions and lightning talks.
The strong, diverse technical program was the work of program committee members Jenny Bryan, Dianne Cook, Peter Dalgaard, Dirk Eddelbuettel, Susan Holmes, Torsten Hothorn, Julie Josse (Chair), Patrick Mair, Jeroen Ooms, Hilary Parker, Hana Ševčíková, Torben Tvedebrink and Heather Turner.
The conference would not have been possible without the tireless work of Balasubramanian Narasimhan who led the organizing committee: John Chambers, Sandrine Dudoit, Trevor Hastie, Susan Holmes, Simon Jackman, Olivia Lau, Nicholas Lewin-Koh, Norman Matloff, Jacqueline Meulman, Balasubramanian Narasimhan, Karthik Ram, Joseph Rickert and Duncan Temple Lang. The cheerful presence and help provided by student volunteers chosen from the R community helped make the conference a pleasant experience for all attendees.
https://channel9.msdn.com/Events/useR-international-R-User-conference/useR2016
http://blog.revolutionanalytics.com/2016/06/the-user-2016-tutorials.html
http://blog.revolutionanalytics.com/2016/06/the-r-packages-of-user-2016.html
Text and figures are licensed under Creative Commons Attribution CC BY 4.0. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".
For attribution, please cite this work as
Rickert, "Conference Report: useR! 2016", The R Journal, 2016
BibTeX citation
@article{RJ-2016-1-user2016,
author = {Rickert, Joseph},
title = {Conference Report: useR! 2016},
journal = {The R Journal},
year = {2016},
note = {https://journal.r-project.org/news/RJ-2016-1-user2016},
volume = {8},
issue = {1},
issn = {2073-4859},
pages = {399-401}
}