A symbol means that the talk ought to be interesting to beginners.

9:00a-10:30a

To the Tidyverse and Beyond: Challenges for the Future in Data Science

Dianne Cook

To the Tidyverse and Beyond: Challenges for the Future in Data Science

Dianne Cook

11:00a-12:30p

Tidy spatial data analysis

Edzer Pebesma

Scaling Shiny apps with async programming

Joe Cheng

RStudio 1.1 new features

Kevin Ushey

The future of time series and financial analysis in the tidyverse

Davis Vaughan

Developing robust shiny apps with regression testing

Winston Chang

RStudio Server Pro 1.1 new features

Jonathan McPherson

infer: a package for tidy statistical inference

Andrew Bray

Make shiny fast by doing as little work as possible

Alan Dipert

Learning R with rstudio.cloud

Mel Gregory

Tidying up your network analysis with tidygraph and ggraph

Thomas Lin Pedersen

Scaling Shiny

Sean Lopp

Blogdown

Yihui Xie

Tidy spatial data analysis

Edzer Pebesma

The future of time series and financial analysis in the tidyverse

Davis Vaughan

infer: a package for tidy statistical inference

Andrew Bray

Tidying up your network analysis with tidygraph and ggraph

Thomas Lin Pedersen

Scaling Shiny apps with async programming

Joe Cheng

Developing robust shiny apps with regression testing

Winston Chang

Make shiny fast by doing as little work as possible

Alan Dipert

Scaling Shiny

Sean Lopp

RStudio 1.1 new features

Kevin Ushey

RStudio Server Pro 1.1 new features

Jonathan McPherson

Learning R with rstudio.cloud

Mel Gregory

Blogdown

Yihui Xie

2:00p-3:30p

The lesser known stars of the tidyverse

Emily Robinson

The unreasonable effectiveness of empathy

JD Long

R Markdown: Eight ways

Mine Cetinkaya-Rundel

Creating interactive web graphics suitable for exploratory data analysis

Carson Sievert

Open-source solutions for medical marijuana

Carl Ganz

Adaptive feedback for learnr tutorials

Daniel Kaplan

tidycf: Turning analysis on its head by turning cashflows on their sides

Emily Riederer

(TBD)

Logan Meltabarger

Beyond R: Using R Markdown with python, sql, bash, and more

Aaron Berg

Modeling in the tidyverse

Max Kuhn

Phrasing: communicating data science through tweets, gifs, and classic misdirection

Mara Averick

Branding and automating your work with R Markdown

Daniel Hadley

The lesser known stars of the tidyverse

Emily Robinson

Creating interactive web graphics suitable for exploratory data analysis

Carson Sievert

tidycf: Turning analysis on its head by turning cashflows on their sides

Emily Riederer

Modeling in the tidyverse

Max Kuhn

The unreasonable effectiveness of empathy

JD Long

Open-source solutions for medical marijuana

Carl Ganz

(TBD)

Logan Meltabarger

Phrasing: communicating data science through tweets, gifs, and classic misdirection

Mara Averick

R Markdown: Eight ways

Mine Cetinkaya-Rundel

Adaptive feedback for learnr tutorials

Daniel Kaplan

Beyond R: Using R Markdown with python, sql, bash, and more

Aaron Berg

Branding and automating your work with R Markdown

Daniel Hadley

4:00p-5:30p

Tidy eval: programming with dplyr, tidyr, and ggplot2

Hadley Wickham

Rapid prototyping data products using Shiny

Tanya Cashorali

R for Presidents

Tareef Kawaf

Data rectangling

Jenny Bryan

Understanding PCA using Shiny and Stack Overflow data

Julia Silge

Connecting to open source databases

Kirill Müller

An assignment operator to unpack vectors and lists

Nathan Teetor

Accelerating cancer research with R

Sandra Griffith

Best practices for working with databases

Edgar Ruiz

Debugging techniques in RStudio

Amanda Gadrow

Developing and deploying large scale shiny applications

Herman Sontrop

Plumber: turning your R code into an API

Jeff Allen

Tidy eval: programming with dplyr, tidyr, and ggplot2

Hadley Wickham

Data rectangling

Jenny Bryan

An assignment operator to unpack vectors and lists

Nathan Teetor

Debugging techniques in RStudio

Amanda Gadrow

Rapid prototyping data products using Shiny

Tanya Cashorali

Understanding PCA using Shiny and Stack Overflow data

Julia Silge

Accelerating cancer research with R

Sandra Griffith

Developing and deploying large scale shiny applications

Herman Sontrop

R for Presidents

Tareef Kawaf

Connecting to open source databases

Kirill Müller

Best practices for working with databases

Edgar Ruiz

Plumber: turning your R code into an API

Jeff Allen

9:00a-10:30a

Machine Learning with R and TensorFlow

JJ Allaire

Machine Learning with R and TensorFlow

JJ Allaire

11:00a-12:30p

Five packages in five weeks - from boredom to contribution via blogging

Giora Simchoni

Teach the Tidyverse to beginners

David Robinson

Large scale machine learning using TensorFlow, BigQuery and CloudML Engine within RStudio

Michael Quinn

You can make a package in 20 minutes

Jim Hester

A SAS-to-R success story

Elizabeth J. Atkinson

Deploying TensorFlow models with tfdeploy

Javier Luraschi

What makes a great R package?

Joseph Rickert

How I Learned to Stop Worrying and Love the Firewall

Ian Lyttle

Building Spark ML pipelines with sparklyr

Kevin Kuo

Contributing to the tidyverse

Mara Averick

Achieving impact with advanced analytics: Breaking down the adoption barrier

Aaron Horowitz

Reinforcement learning in Minecraft with CNTK-R

Ali Zaidi

Five packages in five weeks - from boredom to contribution via blogging

Giora Simchoni

You can make a package in 20 minutes

Jim Hester

What makes a great R package?

Joseph Rickert

Contributing to the tidyverse

Mara Averick

Teach the Tidyverse to beginners

David Robinson

A SAS-to-R success story

Elizabeth J. Atkinson

How I Learned to Stop Worrying and Love the Firewall

Ian Lyttle

Achieving impact with advanced analytics: Breaking down the adoption barrier

Aaron Horowitz

Large scale machine learning using TensorFlow, BigQuery and CloudML Engine within RStudio

Michael Quinn

Deploying TensorFlow models with tfdeploy

Javier Luraschi

Building Spark ML pipelines with sparklyr

Kevin Kuo

Reinforcement learning in Minecraft with CNTK-R

Ali Zaidi

2:00p-3:30p

Data-driven curriculum development

Nick Carchedi

Differentiating by data science

Eric Colson

Sharing analysis results with RStudio Connect

Jeff Allen

Kaggle in the classroom: using R and GitHub to run predictive modeling competitions

Colin Rundel

Imagine Boston 2030: Using R-Shiny to keep ourselves accountable and empower the public

Kayla Patel

Parameterized R Markdown reports with RStudio Connect

Aron Atkins

Something old, something new, something borrowed, something blue: Ways to teach data science (and learn it too!)

Chester Ismay

Agile data science

Elaine McVey

Drill-down reporting with Shiny

Barbara Borges Ribeiro

Training an army of new data scientists

Marco Blume

Storytelling with R

Olga Pierce

The R Admin is rad: A guide to professional R tooling and integration

Nathan Stephens

Data-driven curriculum development

Nick Carchedi

Kaggle in the classroom: using R and GitHub to run predictive modeling competitions

Colin Rundel

Something old, something new, something borrowed, something blue: Ways to teach data science (and learn it too!)

Chester Ismay

Training an army of new data scientists

Marco Blume

Differentiating by data science

Eric Colson

Imagine Boston 2030: Using R-Shiny to keep ourselves accountable and empower the public

Kayla Patel

Agile data science

Elaine McVey

Storytelling with R

Olga Pierce

Sharing analysis results with RStudio Connect

Jeff Allen

Parameterized R Markdown reports with RStudio Connect

Aron Atkins

Drill-down reporting with Shiny

Barbara Borges Ribeiro

The R Admin is rad: A guide to professional R tooling and integration

Nathan Stephens

4:00p-5:30p

R in industry discussion

Eduardo Ariño de la Rubia, Tanya Cashorali, Eric Colson, Elaine McVey, David Robinson / Tareef Kawaf (moderator)-

Tidyverse discussion

Jenny Bryan, Mine Çetinkaya-Rundel, Max Kuhn, Hadley Wickham, / Mara Averick (moderator)

Closing remarks

Hadley Wickham

R in industry discussion

Eduardo Ariño de la Rubia, Tanya Cashorali, Eric Colson, Elaine McVey, David Robinson / Tareef Kawaf (moderator)-

Tidyverse discussion

Jenny Bryan, Mine Çetinkaya-Rundel, Max Kuhn, Hadley Wickham, / Mara Averick (moderator)

Closing remarks

Hadley Wickham