Communication
Join us on
Slack
August 19, 2023
- All times in PST
- All talks in Pelton Auditorium in the Weintraub building
- Lunch and reception in the Weintraub lunch room
8:00 - 9:00 AM: Registration and breakfast
9:00 - 9:05 AM: Welcome
- The medium is the message: R programmers as content creators
9:35 - 9:45 AM: Break
9:45 - 10:35 AM: Teaching R to yourself and others
- David Keyes: How to Convince
Your Teammates to Learn R
- Deepsha Menghani:
Learning to create Shiny modules by turning an existing app modular
- Colleen O’Briant:
Teaching Programming with Tidyverse Koans: A Journey of Successes and
Failures
10:35 - 10:45 AM: Break
10:45 - 11:35 AM: Stats and my story
- Dror Berel: Tidy everything…
How I finally got to dive in Time series, Tree and Graph/Network data
structures and analysis, thanks to their tidy packages
- Kangjie Zhang: Beyond the
Comfort Zone: Traditional Statistical Programmers Embrace R to Expand
their Toolkits
- Valeria Duran:
Maximizing Performance: Strategies for Code Optimization #### 11:35 -
11:45 AM: Break
11:45 AM - 12:35 PM: More than just R
12:35 - 1:35 PM: Lunch
- Retrospective of Cascadia R
2:05 - 2:55 PM: Shiny for research
- Jadey Ryan: Using Shiny to
optimize the climate benefits of a statewide agricultural grant
program
- Lovedeep Gondara: Using
R Shiny for cancer surveillance, lessons from the trenches
- Zachary Ruff:
Shiny_PNW-Cnet: AI-powered desktop audio processing for biodiversity
research and monitoring
2:55 - 3:05 PM: Break
3:05 - 3:25 PM: Lightning talks
- Cari Gostic: RShiny, Big
Data and AWS: A tidy solution using Arrow
- Sean Kross: Visualize Data
Analysis Pipelines with Tidy Data Tutor
- C. Nathalie Yuen: Come
TogetheR, Right Now, OveR R
- Mohsen Soltanifar:
SimSST: An R Statistical Software Package to Simulate Stop Signal Task
Data
3:25 - 3:30 PM: Break
3:30 - 4:20 PM: R is for statistics
4:30 - 6:00 PM: Reception