September 17, 2022 8am-3:20pm

More detailed schedule here

8:00-8:05 Introductions

8:05-8:45 Keynotes

8:55-9:50 Developing in R

  • Dan McGuire: Model-based cell typing for single cell spatial transcriptomics
  • Dror Berel: Benchmarking AWS Sagemaker ML and Forecasting Algorithm Performance with Traditional R Packages
  • Priyanka Gagneja: Going Beyond Tidyverse 101

10:00-10:55 Data Science for Good

  • Truzaar Dordi: Ten Financial Actors can Accelerate a Transition Away from Fossil Fuels
  • Andrew Pham & Winnie Gong: Use of R to Educate Underserved Communities Nationwide
  • Josh Roll: Using R to Understand Pedestrian Traffic Injury Inequities in Oregon

11:05-12:00 Creating an R Environment for a Team

12:00-12:30 Lunch Break

12:30-1:05 Lightning Talks!

  • Ben McCary: Persuasion with Pretty Pictures: Using Data Viz to Make a Point
  • Meike Niederhausen: Using Visualizations to Understand Complex Care Trajectory Trends of Veterans in Home-Based Primary Care
  • Brittany Barker: Spatial Modeling in R to Help Detect Emerald Ash Borer, a New Invader in the Pacific Northwest
  • Siddharth Bhatia: Engineering Better Shiny Apps using Docker
  • Kevin Kuo: Bussin: A Modern Framework for Interactive Data Apps

1:15-2:10 Shiny and R

2:20-3:15 Reporting & Sharing of R!

3:15-3:20 Closing Remarks