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
- Ted Laderas: Never been to Me : A Queer Journey through the LGB Generations Data
- 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