All times are listed in Pacific Standard Time (PST)
Keynote 1
9:00a - 10:00a
Welcome to rstudio::conf 2020
Hadley Wickham, RStudio
Open Source Software for Data Science J.J. Allaire, RStudio
Keynote 2
10:00a - 11:00a
Data, visualization, and designing with AI
Fernanda Viegas & Martin Wattenberg, Google
Session 1: Production
11:30a - 1:00p
Deploying End-To-End Data Science with Shiny, Plumber, and Pins Alex Gold, RStudio
We’re hitting R a million times a day so we made a talk about it
Heather Nolis, T-Mobile & Dr. Jacqueline Nolis, Nolis, LLC
Growth Hacking with R - Product Analytics at Scale using R and RStudio
Andrew Mangano, Salesforce
Practical Plumber Patterns
James Blair, RStudio
Session 2: Shiny
2:15p - 3:45p
Production-grade Shiny Apps with golem
Colin Fay, ThinkR
Making the Shiny Contest
Mine Çetinkaya-Rundel, RStudio
Styling Shiny apps with Sass and Bootstrap 4
Joe Cheng, RStudio
Reproducible Shiny apps with shinymeta
Dr. Carson Sievert, RStudio
Session 3: Learning and Using R
4:00p - 5:30p
Flipbooks
Evangeline Reynolds, University of Denver
Learning R with humorous side projects
Ryan Timpe, The LEGO Group
Toward a grammar of psychological experiments
Danielle Navarro, University of New South Wales
R for Graphical Clinical Trial Reporting
Frank Harrell, Vanderbilt University
All times are listed in Pacific Standard Time (PST)
Keynote 3
9:00a - 10:00a
Object of type ‘closure’ is not subsettable
Jenny Bryan, RStudio
Session 4: Visualization
10:30a - 12:00p
Session 5: Modeling
1:00p - 2:30p
MLOps for R with Azure Machine Learning
David Smith, Microsoft
Totally Tidy Tuning Techniques
Max Kuhn, RStudio
Neural Networks for Longitudinal Data Analysis
Dr. Sydeaka Watson, Korelasi Data Insights; Elicit Insights
Stochastic Block Models with R: Statistically rigerous clusting with rigorous code
Nick Strayer, Vanderbilt University
Session 6: Panel
2:45a - 3:30p
Career Advice for Data Scientists
Jen Hecht, RStudio
Sydeaka Watson, Elicit
Gabriela de Queiroz, AI Inclusive and R-Ladies
David Keyes, R for the Rest of Us
Keynote 4
4:00p - 5:00p
