rstudio::global 2021 talks

RStudio's 2021 virtual conference featured 50+ speakers from around the world.

rstudio::global 2021 talks

RStudio's 2021 virtual conference featured 50+ speakers from around the world.

RStudio's 2021 virtual conference featured 50+ speakers from around the world, live Q&As, and social times for the 12,000 attendees to connect. We are so thankful to all that attended and added their insights via text, video, and Twitter chats.

The live Q&As have been added to the talk pages below!

Keynotes

Maintaining the house the tidyverse built

Maintaining the house the tidyverse built

Hadley Wickham
Your public garden

Your public garden

Vicki Boykis
Reporting on and visualising the pandemic

Reporting on and visualising the pandemic

John Burn-Murdoch

Data for Good

Cognitive speed: How the Tidyverse helped the British Red Cross respond quickly to COVID-19

Cognitive speed: How the Tidyverse helped the British Red Cross respond quickly to COVID-19

Matt Thomas, Mike Page
Humanitarian Data Science with R

Humanitarian Data Science with R

Ahmadou Dicko
rKenyaCensus Package

rKenyaCensus Package

Shelmith Kariuki
The Opioid Files: Turning big pharmacy data over to the public

The Opioid Files: Turning big pharmacy data over to the public

Andrew Ba Tran

Language Interop

Bringing the Tidyverse to Python with Siuba

Bringing the Tidyverse to Python with Siuba

Michael Chow
R & Python: Going Steady

R & Python: Going Steady

Sean Lopp
The dynamic duo: SQL & R

The dynamic duo: SQL & R

Irene Steves
Using pins with Python and JavaScript

Using pins with Python and JavaScript

Javier Luraschi

Learning

Aesthetically automated figure production

Aesthetically automated figure production

Megan Beckett
Always look on the bright side of plots

Always look on the bright side of plots

Kara Woo
Art Lessons: One Year as RStudio’s Artist-in-Residence

Art Lessons: One Year as RStudio’s Artist-in-Residence

Allison Horst
Starting an R Book Club: Cooking Up Friendships in Isolation

Starting an R Book Club: Cooking Up Friendships in Isolation

Maya Gans

Modeling

Using R to Up Your Experimentation Game

Using R to Up Your Experimentation Game

Shirbi Ish-Shalom
What's new in tidymodels?

What's new in tidymodels?

Max Kuhn
Fairness and Data Science: Failures, Factors, and Futures

Fairness and Data Science: Failures, Factors, and Futures

Grant Fleming
Categorical Embeddings: New Ways to Simplify Complex Data

Categorical Embeddings: New Ways to Simplify Complex Data

Alan Feder
How I became a Data Composer – examples of simulated datasets that bring value to a data-driven company

How I became a Data Composer – examples of simulated datasets that bring value to a data-driven company

Richard Vogg
tidymodels/stacks, Or, In Preparation for Pesto: A Grammar for Stacked Ensemble Modeling

tidymodels/stacks, Or, In Preparation for Pesto: A Grammar for Stacked Ensemble Modeling

Simon Couch
With more learning occurring virtually or in hybrid mode, hands-on ways to remotely teach DS are invaluable.

With more learning occurring virtually or in hybrid mode, hands-on ways to remotely teach DS are invaluable.

Chelsea Parlett-Pelleriti

Organizational Tooling

From Zero to Hero: Best practices for setting up Rstudio Team in the Cloud

From Zero to Hero: Best practices for setting up Rstudio Team in the Cloud

Rika Gorn
Not The App We Deserve. The App We Need: Putting a GMP Shiny App into Production

Not The App We Deserve. The App We Need: Putting a GMP Shiny App into Production

Marcus Adams
Custom theming in Shiny & R Markdown with bslib & thematic

Custom theming in Shiny & R Markdown with bslib & thematic

Carson Sievert
How Content Makes the Data Go 'Round

How Content Makes the Data Go 'Round

Danielle Oberdier
How reproducible am I? A retrospective on a year of commercial data science projects in R

How reproducible am I? A retrospective on a year of commercial data science projects in R

Dean Marchiori
How we made the switch: a case study on automating a complex report.

How we made the switch: a case study on automating a complex report.

Eric Gunnar Cronstrom
Lifelong Learning with R Weekly

Lifelong Learning with R Weekly

Wolfram King

Package Dev

oRganization: How to make internal R packages part of your team

oRganization: How to make internal R packages part of your team

Emily Riederer
Monitoring health and impact of open-source projects

Monitoring health and impact of open-source projects

Jeroen Ooms
You're Already Ready: Zen and the Art of R Package Development

You're Already Ready: Zen and the Art of R Package Development

Malcolm Barrett
Make a package - Make some friends

Make a package - Make some friends

Athanasia Mowinckel
The Power of Great Datasets

The Power of Great Datasets

Alex Cookson
Towards an integrated {verse}: lessons learned developing a library of validated packages

Towards an integrated {verse}: lessons learned developing a library of validated packages

Marie Vendettuoli
Using formr to create R-powered surveys with individualized feedback

Using formr to create R-powered surveys with individualized feedback

John Helveston

Programming

Bigger Data With Ease Using Apache Arrow

Bigger Data With Ease Using Apache Arrow

Neal Richardson
Introducing xrprof: A New Way to Profile R

Introducing xrprof: A New Way to Profile R

Aaron Jacobs
plumber + future: Async Web APIs

plumber + future: Async Web APIs

Barret Schloerke
xaringan Playground: Using xaringan to learn web development

xaringan Playground: Using xaringan to learn web development

Garrick Aden-Buie
Designing Randomized Studies using Shiny

Designing Randomized Studies using Shiny

Lucy D'Agostino McGowan
Easy larger-than-RAM data manipulation with {disk.frame}

Easy larger-than-RAM data manipulation with {disk.frame}

ZJ
Making Shiny apps faster with caching

Making Shiny apps faster with caching

Winston Chang
parsermd - parsing R Markdown for fun and profit

parsermd - parsing R Markdown for fun and profit

Colin Rundel

Teaching

Feedback at scale

Feedback at scale

Mine Çetinkaya-Rundel
How to do things with words: learning to program in R with a "communicative approach"

How to do things with words: learning to program in R with a "communicative approach"

Riva Quiroga
Making the jump from learning to applying: R training and documentation for different levels of expertise

Making the jump from learning to applying: R training and documentation for different levels of expertise

Kate Hertweck
On programming, teaching, and building interactive tutorials with learnr

On programming, teaching, and building interactive tutorials with learnr

Yanina Bellini Saibene

Visualization

A New Paradigm for Multifigure Coordinate-Based Plotting in R

A New Paradigm for Multifigure Coordinate-Based Plotting in R

Nicole Kramer
Accessible Data Science Beyond Visual Models: Non-Visual Interactions with R and RStudio Packages

Accessible Data Science Beyond Visual Models: Non-Visual Interactions with R and RStudio Packages

JooYoung Seo
Trial and Error in Data Viz at the ACLU

Trial and Error in Data Viz at the ACLU

Sophie Beiers
Your R is My R too: Reflections on creating the Mi-R community

Your R is My R too: Reflections on creating the Mi-R community

Danielle Smalls-Perkins, Dorris Scott
An easy and friendly way to build your multilingual website

An easy and friendly way to build your multilingual website

Pamela Pairo
Making .pot-ery with R: Translations in R Packages

Making .pot-ery with R: Translations in R Packages

Michael Chirico
Racial Equity Dashboard: Unpacking Systemic Inequity

Racial Equity Dashboard: Unpacking Systemic Inequity

Nicholas Pylypiw

Pharma X Sessions

R in Janssen Drug Discovery Statistics

R in Janssen Drug Discovery Statistics

Volha Tryputsen
R in Pharma: Intro to Shiny

R in Pharma: Intro to Shiny

Mike Garcia
R Package Validation Framework

R Package Validation Framework

Ellis Hughes
R/Pharma

R/Pharma

Harvey Lieberman
Risk Assessment Tools: R Validation Hub Initiatives

Risk Assessment Tools: R Validation Hub Initiatives

Marly Gotti
RStudio Investments in Pharma

RStudio Investments in Pharma

Sean Lopp

Shiny X Sessions

Appsilon's Guide to Working With Open Source Shiny

Appsilon's Guide to Working With Open Source Shiny

Dominik Krzemiński
Best Practices for Developing Shiny Apps

Best Practices for Developing Shiny Apps

Olga Mierzwa-Sulima
Empowering Data Scientists to Build Spectacular Shiny Apps

Empowering Data Scientists to Build Spectacular Shiny Apps

Filip Stachura, Marek Rogala
Scaling Shiny to Thousands of Users

Scaling Shiny to Thousands of Users

Damian Rodziewicz
Styling Shiny with CSS & SASS and Speeding Up Shiny Apps

Styling Shiny with CSS & SASS and Speeding Up Shiny Apps

Pedro Silva
Theming Shiny and RMarkdown with {thematic} & {bslib}

Theming Shiny and RMarkdown with {thematic} & {bslib}

Tom Mock, Shannon Haggerty

Thanks again to our sponsors