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Track Cherry Blossom
All
Drugs not bugs: effective use of R in pharma
Eye candy: surprising and delightful uses of R
It takes a village: building communities of practice
Rapidly responding to world events with R
What they forgot to teach you about your career
Working with people is hard
Track National Harbor 10+11
All
Databases
Generating high quality data
Just typing R code: advanced R programming
Teaching data science
Unexpected uses of R
Working with code is hard
Track Potomac C
All
Business intelligence
Cat herding: solving big problems by bringing people together
Quarto deep dive
RMarkdown and Quarto
Some of my best friends use Python
Take a sad process and make it better: project and process makeovers
Track Potomac D
All
Data science in production
I like big apps: shiny apps that scale
Machine learning
Pour some glitter on it: polishing the design of your shiny apps
Updates from the tidymodels team
Workshop
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Greg Chism
University of Arizona
Computational and Data Science Educator
Tucson, AZ
https://gchism.netlify.app/
Monday
, July 25
7:30am EDT
Breakfast
5. Maryland
9:00am EDT
Designing the Data Science Classroom
Maryland 3
11:00am EDT
Designing the Data Science Classroom
Maryland 3
12:30pm EDT
Lunch
5. Maryland
1:30pm EDT
Designing the Data Science Classroom
Maryland 3
3:30pm EDT
Designing the Data Science Classroom
Maryland 3
5:30pm EDT
Book Signing Reception
3. Cherry Blossom
Tuesday
, July 26
7:30am EDT
Breakfast
5. Maryland
9:00am EDT
Designing the Data Science Classroom
Maryland 3
11:00am EDT
Designing the Data Science Classroom
Maryland 3
12:30pm EDT
Lunch
5. Maryland
1:30pm EDT
Designing the Data Science Classroom
Maryland 3
3:30pm EDT
Designing the Data Science Classroom
Maryland 3
5:30pm EDT
Welcome Reception
6. Riverview Ballroom
Wednesday
, July 27
7:30am EDT
Breakfast
5. Maryland
Academic / Research - Birds of a Feather
Maryland 1, 2, & 3
9:00am EDT
Good practices for applied machine learning - from model development to model deployment
0. Potomac A+B
11:00am EDT
R Package Assessment: Lessons from Pharma
3. Cherry Blossom
11:20am EDT
Mobile, Low-Bandwidth and Low-Tech. The Story of Chi-Square Mobile.
4. National Harbor 10+11
tidyclust - expanding tidymodels to clustering
2. Potomac D
11:40am EDT
Designing a Socially-Critical Data Science Course
4. National Harbor 10+11
12:00pm EDT
Lunch
5. Maryland
1:30pm EDT
Remote Content Execution with RStudio Connect and Kubernetes
2. Potomac D
1:50pm EDT
Scaling and automating R workflows with Kubernetes and Airflow
3. Cherry Blossom
2:10pm EDT
R Shiny - From Conception to the Cloud
2. Potomac D
2:30pm EDT
R Markdown + RStudio Connect + R Shiny: A Recipe for Automated Data Processing, Error Logging, and Process Monitoring
4. National Harbor 10+11
3:20pm EDT
Quarto for the Curious
1. Potomac C
4:00pm EDT
What they forgot to teach you about industry transitions from academia (WTF AITA)
3. Cherry Blossom
4:30pm EDT
The Past and Future of Shiny
0. Potomac A+B
5:30pm EDT
Birds of a Feather Happy Hour - Pharma / Life Sciences
Maryland 1, 2, & 3
6:00pm EDT
Evening Dinner & Activities
7. Orchard Terrace
Thursday
, July 28
7:30am EDT
Breakfast
5. Maryland
Education & Teaching - Birds of a Feather
Maryland 1, 2, & 3
9:00am EDT
Hello Quarto: Share • Collaborate • Teach • Reimagine
0. Potomac A+B
10:30am EDT
The Benefit of Talking to the "Non-Datas"
3. Cherry Blossom
10:55am EDT
Zero-setup R workshops with GitHub Codespaces
2. Potomac D
11:00am EDT
Making awesome automations with GitHub Actions
2. Potomac D
11:25am EDT
Implications of R syntax in intro stats
2. Potomac D
11:30am EDT
Comparing package versions with Diffify
2. Potomac D
11:40am EDT
The Future of missing data
2. Potomac D
12:00pm EDT
Lunch
5. Maryland
Birds of a Feather - UseR Group Organizers
Maryland 4, 5, & 6
1:30pm EDT
A Journey to Data Science: Tools for Equity and Diversity in STEM
3. Cherry Blossom
1:50pm EDT
Building Accessible Lessons with R and Friends
3. Cherry Blossom
2:10pm EDT
Creating a Design System for Shiny and RMarkdown
2. Potomac D
2:30pm EDT
Dashboard-Builder: Building Shiny Apps without writing any code
2. Potomac D
3:20pm EDT
These are a few of my favorite things (about Quarto presentations)
1. Potomac C
3:40pm EDT
Literate Programming With Jupyter Notebooks and Quarto
1. Potomac C
4:00pm EDT
Websites & Books & Blogs, oh my! Creating Rich Content with Quarto
1. Potomac C
4:30pm EDT
Data science training in communities with limited technology resources and opportunities
0. Potomac A+B
5:30pm EDT
R-Ladies Reception
Maryland 1, 2, & 3
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rstudio::conf(2022)
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rstudio::conf(2022)
Jul 25
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28, 2022
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, July 28
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Gaylord National, Forest Heights, MD, USA
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0. Potomac A+B
1. Potomac C
2. Potomac D
3. Cherry Blossom
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5. Maryland
6. Riverview Ballroom
7. Orchard Terrace
Chesapeake
Chesapeake 4+5+6
Chesapeake 9
Chesapeake D
Chesapeake E
Chesapeake F
Chesapeake G+H+I
Maryland 1
Maryland 1, 2, & 3
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Maryland 3
Maryland 4+5
Maryland 4, 5, & 6
Maryland 6
National Harbor 12+13
National Harbor 2
National Harbor 3
National Harbor 4+5
National Harbor 6+7
Filter By Type
Keynote
Meal
Social
Track Cherry Blossom
All
Drugs not bugs: effective use of R in pharma
Eye candy: surprising and delightful uses of R
It takes a village: building communities of practice
Rapidly responding to world events with R
What they forgot to teach you about your career
Working with people is hard
Track National Harbor 10+11
All
Databases
Generating high quality data
Just typing R code: advanced R programming
Teaching data science
Unexpected uses of R
Working with code is hard
Track Potomac C
All
Business intelligence
Cat herding: solving big problems by bringing people together
Quarto deep dive
RMarkdown and Quarto
Some of my best friends use Python
Take a sad process and make it better: project and process makeovers
Track Potomac D
All
Data science in production
I like big apps: shiny apps that scale
Machine learning
Pour some glitter on it: polishing the design of your shiny apps
Updates from the tidymodels team
Workshop
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