Agenda

Communication

Join us on Slack

June 22, 2024

8:00-9:00 Registration and Breakfast

9:00-9:10 Introductions

9:10-9:40 Keynote

• Deepsha Menghani: Why is everybody talking about Generative AI?

9:40-9:55 Break

9:55-10:55 R-evolution: Articifial intelligence & R

• Nikhita Damaraju: R-tificial intelligence: A guide to using R for ML
  
• Emily Kraschel: R Workflows in Azure Machine Learning for Athletic Data Analysis
• Simon Couch: Fair machine learning

10:55-11:10 Break

11:10-12:10 Visual narRatives

• David Keyes: How to Make a Thousand Plots Look Good: Data Viz Tips for Parameterized Reporting
• Justin Sherrill: Cartographic Tricks & Techniques in R
• Ken Vu: Drawing a Christmas card with the ggplot2 package

12:10-1:10 Lunch Break

1:10-2:10 Shine on with R Shiny

• Erica Bishop: Don’t repeat yourself: Templatize your R Shiny Apps with Modules
• Dror Berel: High-level, module-based R/Shiny apps with ‘Teal’ framework, with applications beyond the pharma data domain
• Matthew Bayly: CEMPRA: Building an R package, R Shiny application, and Quarto book for Cumulative Effect Assessments in BC

2:10-2:25 Break

2:25-2:55 Lightning Talks!

• Bryan Shalloway: Prediction Intervals in Tidymodels
• Joe Roberts: Taking CRAN to the Next Level with Posit Public Package Manager
• Randi Bolt: Code to Content
• Lovekumar Patel: Empowering Decisions: Advanced Portfolio Analysis and Management through Shiny
• Cameron Ashton: Building R Packages to Deliver Generalized Functions: An Example from Small Number Suppression for Epidemiological Dashboarding
• Mohsen Soltanifar: GenTwoArmsTrialSize: An R Statistical Software Package to estimate Generalized Two Arms Clinical Trial Sample Size

2:55-3:15 Break

3:15-4:15 OuR journeys in community & collaboration

• Lydia Gibson: Learning Together at the Data Science Learning Community
• Jacqueline Nolis: Docker for R users: run your code in the cloud
• Russell Shean: Just double click on this to automatically to setup an R environment: How to use batch scripts to make it easier for colleagues to start using your R projects

4:15-4:20 Closing Remarks

4:20-4:30 Break

4:30-6:00 Reception