September 17, 2022 8am-3:20pm
8:00-8:05 Introductions
8:05-8:45 Keynotes
- Jacqueline Nolis: The Messy Space between Analysis and Output
- Tiffany Timbers: 10 Simple Rules for Teaching R for Data Science
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
- Valeria Duran and Emily Zhang: The Challenges of Legacy Code
- Rodger Zou and Radhika Etikala: Towards a Collaborative R Prog Group: Verification
- Radhika Etikala and Emily Zhang: Wrangling the Stakeholder Community – Data Specifications
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
- Jeff Rothschild: A Dashboard for Calculating Hourly Energy Balance
- Nick Sun: Making Power Calculations Easier with Shiny
- Anthony Lusardi: Improving Energy Imbalances in PNW Using R
2:20-3:15 Reporting & Sharing of R!
- Tim Anderson: Publishing a Book using Only R Ecosystem Tools
- Oluwafemi Oyedele: Reproducible Research with R
- Ben Matherson: How Anchorage Built Alaska’s Vaccine Finder with R