rstudio::conf 2020 talks

The vibe at rstudio::conf 2020 in San Francisco felt a bit like a festival. Two days of talks in four parallel tracks with sessions for newcomers and experts alike covering topics from learning R to advanced tidyverse and shiny programming and deep dives into deep learning, modeling and applications from finance to pharma.

rstudio::conf 2020 talks

The vibe at rstudio::conf 2020 in San Francisco felt a bit like a festival. Two days of talks in four parallel tracks with sessions for newcomers and experts alike covering topics from learning R to advanced tidyverse and shiny programming and deep dives into deep learning, modeling and applications from finance to pharma.

The vibe at rstudio::conf 2020 felt a bit like a festival. The mood among the fourteen hundred or so mostly first time attendees who packed the pre-conference workshops was electric with expectation. And the crowd kept growing: over two thousand people stood and cheered J.J. Allaire at the conclusion of his opening keynote where he discussed RStudio’s commitment to open source software and announced that RStudio had become a Public Benefit Corporation.

And then, things got better: two days of talks in four parallel tracks with sessions for newcomers and experts alike covering topics from learning R to advanced tidyverse and shiny programming and deep dives into deep learning, modeling and applications from finance to pharma. But, it wasn’t all work either. The mild San Francisco winter weather and downtown location encouraged dining out, a trip to the rain forest at the California Academy of Sciences and tech talk over drinks at eclectic SF night spots.

Keynotes and Panels

Open Source Software for Data Science

Open Source Software for Data Science

J.J. Allaire
Data, visualization, and designing AI

Data, visualization, and designing AI

Fernanda Viegas, Martin Wattenberg
Not So Standard Deviations Episode 100

Not So Standard Deviations Episode 100

Hilary Parker, Roger Peng
Object of type ‘closure’ is not subsettable

Object of type ‘closure’ is not subsettable

Jenny Bryan
Panel: Career Advice for Data Scientists

Panel: Career Advice for Data Scientists

Gabriela de Queiroz, David Keyes, Sydeaka Watson, Jen Hecht

Learning and Using R

Flipbooks

Flipbooks

Evangeline Gina Reynolds
Learning R with humorous side projects

Learning R with humorous side projects

Ryan Timpe
R for Graphical Clinical Trial Reporting

R for Graphical Clinical Trial Reporting

Frank Harrell
Toward a grammar of psychological experiments

Toward a grammar of psychological experiments

Danielle Navarro

Production

Deploying End-To-End Data Science with Shiny, Plumber, and Pins

Deploying End-To-End Data Science with Shiny, Plumber, and Pins

Alex Gold
Growth Hacking with R - Product Analytics at Scale using R and RStudio

Growth Hacking with R - Product Analytics at Scale using R and RStudio

Andrew Mangano
Practical Plumber Patterns

Practical Plumber Patterns

James Blair
We’re hitting R a million times a day so we made a talk about it

We’re hitting R a million times a day so we made a talk about it

Heather Nolis, Jacqueline Nolis

Shiny

Production-grade Shiny Apps with golem

Production-grade Shiny Apps with golem

Colin Fay, Vincent Guyader
Reproducible Shiny apps with shinymeta - Dr. Carson Sievert

Reproducible Shiny apps with shinymeta - Dr. Carson Sievert

Carson Sievert
Styling Shiny apps with Sass and Bootstrap 4

Styling Shiny apps with Sass and Bootstrap 4

Joe Cheng

Case Study

Building a new data science pipeline for the FT with RStudio Connect

Building a new data science pipeline for the FT with RStudio Connect

George Kastrinakis
How to win an AI Hackathon, without using AI

How to win an AI Hackathon, without using AI

Colin Gillespie
How Vibrant Emotional Health Connected Siloed Data Sources and Streamlined Reporting Using R

How Vibrant Emotional Health Connected Siloed Data Sources and Streamlined Reporting Using R

Sean Murphy
Journalism with RStudio, R, and the Tidyverse

Journalism with RStudio, R, and the Tidyverse

Larry Fenn
Making better spaghetti (plots): Exploring the individuals in longitudinal data with the brolgar pac

Making better spaghetti (plots): Exploring the individuals in longitudinal data with the brolgar pac

Nicholas Tierney
Professional Case Studies

Professional Case Studies

Katie Masiello
Putting the Fun in Functional Data: A tidy pipeline to identify routes in NFL tracking data

Putting the Fun in Functional Data: A tidy pipeline to identify routes in NFL tracking data

Dani Chu
R + Tidyverse in Sports

R + Tidyverse in Sports

Namita Nandakumar

Communication

Branding and Packaging Reports with R Markdown

Branding and Packaging Reports with R Markdown

Jake Thompson
How Rmarkdown changed my life

How Rmarkdown changed my life

Rob Hyndman
One R Markdown Document, Fourteen Demos

One R Markdown Document, Fourteen Demos

Yihui Xie
Don’t repeat yourself, talk to yourself! Repeated reporting in the R universe

Don’t repeat yourself, talk to yourself! Repeated reporting in the R universe

Sharla Gelfand

Community

The development of "datos" package for the R4DS Spanish translation

The development of "datos" package for the R4DS Spanish translation

Riva Quiroga
Embracing R in the Geospatial Community

Embracing R in the Geospatial Community

Tina Cormier
If you build it, they will come...but then what? Facilitating communities of practice in R

If you build it, they will come...but then what? Facilitating communities of practice in R

Kate Hertweck
R: Then and Now

R: Then and Now

Jared Lander

Education

Data Science Education in 2022

Data Science Education in 2022

Carl Howe, Greg Wilson
Of Teacups, Giraffes, & R Markdown

Of Teacups, Giraffes, & R Markdown

Desirée De Leon
Data science education as an economic and public health intervention in East Baltimore

Data science education as an economic and public health intervention in East Baltimore

Jeff Leek
Meet You Where You R

Meet You Where You R

Lauren Chadwick

Finance

15 Years of R in Quantitative Finance

15 Years of R in Quantitative Finance

Brandon Farr
Deep Learning Extraction for Counterparty Risk Signals from a Corpus of Millions of Documents

Deep Learning Extraction for Counterparty Risk Signals from a Corpus of Millions of Documents

Moody Hadi
Rpanda trading simulation - from an idea to a multi-user shiny app

Rpanda trading simulation - from an idea to a multi-user shiny app

Nima Safaian
The good, the bad and the ugly: What I learned while consulting across the business as a data scientist

The good, the bad and the ugly: What I learned while consulting across the business as a data scientist

Ben Barnard

Ggplot2

Extending your ability to extend ggplot2

Extending your ability to extend ggplot2

Thomas Lin Pedersen
Spruce up your ggplot2 visualizations with formatted text

Spruce up your ggplot2 visualizations with formatted text

Claus Wilke
Best practices for programming with ggplot2

Best practices for programming with ggplot2

Dewey Dunnington
The little package that could: Taking visualizations to the next level with the scales package

The little package that could: Taking visualizations to the next level with the scales package

Dana Seidel

Interface

Accelerating Analytics with Apache Arrow

Accelerating Analytics with Apache Arrow

Neal Richardson
Deep Learning with R

Deep Learning with R

Paige Bailey
Updates on Spark, MLflow, and the broader ML ecosystem

Updates on Spark, MLflow, and the broader ML ecosystem

Javier Luraschi
What's new in TensorFlow for R

What's new in TensorFlow for R

Daniel Falbel

Medicine

Building a Medical Device with R

Building a Medical Device with R

Ron Keizer
Forecasting Platelet Blood Bag Demand to reduce Inventory Wastage at the Stanford Blood Center

Forecasting Platelet Blood Bag Demand to reduce Inventory Wastage at the Stanford Blood Center

Qian Zhao, Emily Guthrie, Chelsea King
Platelet Transfusion Management using R and the Tidyverse

Platelet Transfusion Management using R and the Tidyverse

Justin Juskewitch, Andrew Norgan
Shiny New Things Using R Bridge the Gap in Electronic Medical Record Reporting

Shiny New Things Using R Bridge the Gap in Electronic Medical Record Reporting

Brendan Graham

Organizational Thinking

Data Science in Meatspace

Data Science in Meatspace

BenJoaquin Gouverneur
Small Team, Big Value: Using R to Design Visualizations

Small Team, Big Value: Using R to Design Visualizations

Ian Lyttle
UnicoRns are real

UnicoRns are real

Travis Gerke
Value in Data Science Beyond Models in Production

Value in Data Science Beyond Models in Production

Eduardo Arino de la Rubia

Pharma

Approaches to Assay Processing Package Validation

Approaches to Assay Processing Package Validation

Ellis Hughes
Building a native iPad dashboard using plumber and RStudio Connect in Pharma

Building a native iPad dashboard using plumber and RStudio Connect in Pharma

Aymen Waqar
FlatironKitchen: How we overhauled a Frankensteinian SQL workflow with the Tidyverse

FlatironKitchen: How we overhauled a Frankensteinian SQL workflow with the Tidyverse

Nathaniel Phillips
Using R to Create Reproducible Engineering Test Reports

Using R to Create Reproducible Engineering Test Reports

Ana Alyeska Santos, Braulio Cuandon

Workflow

renv: Project Environments for R

renv: Project Environments for R

Kevin Ushey
RMarkdown Driven Development

RMarkdown Driven Development

Emily Riederer
RStudio 1.3 Sneak Preview

RStudio 1.3 Sneak Preview

Jonathan McPherson
Using Jupyter with RStudio Server Pro

Using Jupyter with RStudio Server Pro

Karl Feinauer

Modeling

Total Tidy Tuning Techniques

Total Tidy Tuning Techniques

Max Kuhn
MLOps for R with Azure Machine Learning

MLOps for R with Azure Machine Learning

David Smith
Neural Networks for Longitudinal Data Analysis

Neural Networks for Longitudinal Data Analysis

Sydeaka Watson
Stochastic Block Models with R: Statistically rigerous clusting with rigorous code

Stochastic Block Models with R: Statistically rigerous clusting with rigorous code

Nick Strayer

Programming

Technical Debt is a Social Problem

Technical Debt is a Social Problem

Gordon Shotwell
Auto-magic Package Development

Auto-magic Package Development

Alicia Schep
Bridging the Gap between SQL and R

Bridging the Gap between SQL and R

Ian Cook
Interactivity and Programming in the Tidyverse

Interactivity and Programming in the Tidyverse

Lionel Henry
List-columns in data.table: Reducing the cognitive & computational burden of complex data

List-columns in data.table: Reducing the cognitive & computational burden of complex data

Tyson Barrett
Asynchronous programming in R

Asynchronous programming in R

Winston Chang
Azure Pipelines and GitHub Actions

Azure Pipelines and GitHub Actions

Jim Hester
Future: Simple Async, Parallel & Distributed Processing in R - What's Next?

Future: Simple Async, Parallel & Distributed Processing in R - What's Next?

Henrik Bengtsson
Getting things logged

Getting things logged

Gergely Daroczi
Parallel computing with R using foreach, future, and other packages

Parallel computing with R using foreach, future, and other packages

Bryan Lewis
Simplified Data Quality Monitoring of Dynamic Longitudinal Data: A Functional Programming Approach

Simplified Data Quality Monitoring of Dynamic Longitudinal Data: A Functional Programming Approach

Jacqueline Gutman
vctrs: Creating custom vector classes with the vctrs package

vctrs: Creating custom vector classes with the vctrs package

Jesse Sadler

Visualization

3D ggplots with rayshader

3D ggplots with rayshader

Tyler Morgan-Wall
Effective Visualizations

Effective Visualizations

Miriah Meyer
State of the Tidyverse

State of the Tidyverse

Hadley Wickham
The Glamour of Graphics

The Glamour of Graphics

William Chase

Lightning Talks

A high school student’s journey to bring R into the classroom

A high school student’s journey to bring R into the classroom

Jay Campanell
Becoming an R blogger

Becoming an R blogger

Rebecca Barter
Course Material Creation in the R Ecosystem

Course Material Creation in the R Ecosystem

Kelly Nicole Bodwin
Data Science for Software Engineers: busting software myths with R

Data Science for Software Engineers: busting software myths with R

Yim Register
Datasets in Reproducible Research with 'pins'

Datasets in Reproducible Research with 'pins'

Javier Luraschi
Every voice matters: An analysis of @WeAreRLadies

Every voice matters: An analysis of @WeAreRLadies

Katherine Simeon
Learn to teach, for goodness sake

Learn to teach, for goodness sake

Mike K Smith
Learning by Teaching: Mentoring at the R4DS Online Learning Community

Learning by Teaching: Mentoring at the R4DS Online Learning Community

Jon Harmon
Lessons about R I learned from my cat

Lessons about R I learned from my cat

Amanda Gadrow
livecode: broadcast your live coding sessions from and to RStudio

livecode: broadcast your live coding sessions from and to RStudio

Colin Rundel
Making a tidy dress

Making a tidy dress

Amelia McNamara
Mexican electoral quick count night with R

Mexican electoral quick count night with R

Maria Ortiz Mancera
Peer review in data science courses

Peer review in data science courses

Therese Anders
Rproject templates to automate and standardize your workflow

Rproject templates to automate and standardize your workflow

Caroline Ledbetter
Sliding Windows and Calendars

Sliding Windows and Calendars

Davis Vaughan
Sound annotation with Shiny and wavesurfer

Sound annotation with Shiny and wavesurfer

Athos Damiani
The Five Principles of Data Science Education

The Five Principles of Data Science Education

Hunter Glanz
TidyBlocks: using the language of the Tidyverse in a blocks-based interface

TidyBlocks: using the language of the Tidyverse in a blocks-based interface

Maya Gans